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Operational Leader CoP – Managing Priorities Group Discussion – August 17, 2026

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Operational Leadr CoP - Compassion Fatigue Discussion Notes

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Leading with Psychological Safety Webinar

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Generative AI: An Online Learning Module for Developmental Services Employees

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Generative AI: An Online Learning Module for Developmental Services Employees

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Generative AI: An Online Learning Module for Developmental Services Employees - The Real Xchange

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The Provincial Network is a forum for key developmental service groups and organizations. Together we collaborate to help address current and emerging challenges that impact people with a developmental disability across Ontario.

The following groups and organizations proudly make up the Provincial Network:

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The Provincial Network is a forum for key developmental service groups and organizations. Together we collaborate to help address current and emerging challenges that impact people with a developmental disability across Ontario. The following groups and organizations proudly make up the Provincial Network: What's New HR Forum This content is restricted to site members.

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The REAL Xchange is a hub for resources, knowledge exchange and learning - a site where products, tools and services are available to assist organizations to improve services, spark new ideas and where opportunities for partnerships and collaboration are formed.

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Core Competencies reflect the needs of our workforce by recognizing the professional nature of Developmental Services, recruiting the right people, building leadership capacity and ultimately enhancing the lives of the people we support.

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The burdens of subordinates always seem to end up on the manager’s back. Here’s how to get rid of them.

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Listen to this episode from What Now? with Trevor Noah on Spotify. Trevor has a candid and revealing conversation with Sam Altman, who was ousted and then reinstated as CEO of OpenAI just 12 days ago. Sam recounts where he was when he received the brutal phone call, how it all really went down, and its emotional toll.

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Artificial intelligence (AI) is currently one of the hottest buzzwords in tech and with good reason. The last few years have seen several innovations and advancements that have previously been solely in the realm of science fiction slowly transform into reality.

Experts regard artificial intelligence as a factor of production, which has the potential to introduce new sources of growth and change the way work is done across industries. For instance, this PWC article predicts that AI could potentially contribute $15.7 trillion to the global economy by 2035. China and the United States are primed to benefit the most from the coming AI boom, accounting for nearly 70% of the global impact.

This Simplilearn tutorial provides an overview of AI, including how it works, its pros and cons, its applications, certifications, and why it's a good field to master.

What Is Artificial Intelligence?

Artificial Intelligence is a method of making a computer, a computer-controlled robot, or a software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

A Brief History of Artificial Intelligence

Here's a brief timeline of the past six decades of how AI evolved from its inception.

1956 - John McCarthy coined the term 'artificial intelligence' and had the first AI conference.

1969 - Shakey was the first general-purpose mobile robot built. It is now able to do things with a purpose vs. just a list of instructions.

1997 - Supercomputer ' Deep Blue ' was designed, and it defeated the world champion chess player in a match. It was a massive milestone by IBM to create this large computer.

2002 - The first commercially successful robotic vacuum cleaner was created.

2005 - 2019 - Today, we have speech recognition, robotic process automation (RPA), a dancing robot, smart homes, and other innovations make their debut.

2020 - Baidu releases the LinearFold AI algorithm to medical and scientific and medical teams developing a vaccine during the early stages of the SARS-CoV-2 (COVID-19) pandemic. The algorithm can predict the RNA sequence of the virus in only 27 seconds, which is 120 times faster than other methods.

Types of Artificial Intelligence

Below are the various types of AI:

1. Purely Reactive

These machines do not have any memory or data to work with, specializing in just one field of work. For example, in a chess game, the machine observes the moves and makes the best possible decision to win.

2. Limited Memory

These machines collect previous data and continue adding it to their memory. They have enough memory or experience to make proper decisions, but memory is minimal. For example, this machine can suggest a restaurant based on the location data that has been gathered.

3. Theory of Mind

This kind of AI can understand thoughts and emotions, as well as interact socially. However, a machine based on this type is yet to be built.

4. Self-Aware

Self-aware machines are the future generation of these new technologies. They will be intelligent, sentient, and conscious.

How Does Artificial Intelligence Work?

Put simply, AI systems work by merging large with intelligent, iterative processing algorithms. This combination allows AI to learn from patterns and features in the analyzed data. Each time an Artificial Intelligence system performs a round of data processing, it tests and measures its performance and uses the results to develop additional expertise.

Ways of Implementing AI

Let's explore the following ways that explain how we can implement AI:

Machine Learning

It is machine learning that gives AI the ability to learn. This is done by using algorithms to discover patterns and generate insights from the data they are exposed to.

Deep Learning

Deep learning, which is a subcategory of machine learning, provides AI with the ability to mimic a human brain's neural network. It can make sense of patterns, noise, and sources of confusion in the data.

Consider an image shown below:

Here we segregated the various kinds of images using deep learning. The machine goes through various features of photographs and distinguishes them with a process called feature extraction. Based on the features of each photo, the machine segregates them into different categories, such as landscape, portrait, or others.

Let us understand how deep learning works.

Consider an image shown below:

The above image depicts the three main layers of a neural network:

Input Layer

Hidden Layer

Output Layer

Input Layer

The images that we want to segregate go into the input layer. Arrows are drawn from the image on to the individual dots of the input layer. Each of the white dots in the yellow layer (input layer) are a pixel in the picture. These images fill the white dots in the input layer.

We should have a clear idea of these three layers while going through this artificial intelligence tutorial.

Hidden Layer

The hidden layers are responsible for all the mathematical computations or feature extraction on our inputs. In the above image, the layers shown in orange represent the hidden layers. The lines that are seen between these layers are called 'weights'. Each one of them usually represents a float number, or a decimal number, which is multiplied by the value in the input layer. All the weights add up in the hidden layer. The dots in the hidden layer represent a value based on the sum of the weights. These values are then passed to the next hidden layer.

You may be wondering why there are multiple layers. The hidden layers function as alternatives to some degree. The more the hidden layers are, the more complex the data that goes in and what can be produced. The accuracy of the predicted output generally depends on the number of hidden layers present and the complexity of the data going in.

Output Layer

The output layer gives us segregated photos. Once the layer adds up all these weights being fed in, it'll determine if the picture is a portrait or a landscape.

Example - Predicting Airfare Costs

This prediction is based on various factors, including:

Airline

Origin airport

Destination airport

Departure date

We begin with some historical data on ticket prices to train the machine. Once our machine is trained, we share new data that will predict the costs. Earlier, when we learned about four kinds of machines, we discussed machines with memory. Here, we talk about the memory only, and how it understands a pattern in the data and uses it to make predictions for the new prices as shown below:

AI Programming Cognitive Skills: Learning, Reasoning and Self-Correction

Artificial Intelligence emphasizes three cognitive skills of learning, reasoning, and self-correction, skills that the human brain possess to one degree or another. We define these in the context of AI as:

Learning: The acquisition of information and the rules needed to use that information.

Reasoning: Using the information rules to reach definite or approximate conclusions.

Self-Correction: The process of continually fine-tuning AI algorithms and ensure that they offer the most accurate results they can.

However, researchers and programmers have extended and elaborated the goals of AI to the following:

1. Logical Reasoning AI programs enable computers to perform sophisticated tasks. On February 10, 1996, IBM's Deep Blue computer won a game of chess against a former world champion, Garry Kasparov.

2. Knowledge Representation
Smalltalk is an object-oriented, dynamically typed, reflective programming language that was created to underpin the "new world" of computing exemplified by "human-computer symbiosis."

3. Planning and Navigation
The process of enabling a computer to get from point A to point B. A prime example of this is Google's self-driving Toyota Prius.

4. Natural Language Processing Set up computers that can understand and process language.

5. Perception Use computers to interact with the world through sight, hearing, touch, and smell.

6. Emergent Intelligence Intelligence that is not explicitly programmed, but emerges from the rest of the specific AI features. The vision for this goal is to have machines exhibit emotional intelligence and moral reasoning.

Some of the tasks performed by AI-enabled devices include:

Speech recognition

Object detection

Solve problems and learn from the given data

Plan an approach for future tests to be done

What is Artificial Intelligence: Advantages and Disadvantages of AI

Artificial intelligence has its pluses and minuses, much like any other concept or innovation. Here's a quick rundown of some pros and cons.

Pros

It reduces human error

It never sleeps, so it's available 24x7

It never gets bored, so it easily handles repetitive tasks

It's fast

Cons

It's costly to implement

It can't duplicate human creativity

It will definitely replace some jobs, leading to unemployment

People can become overly reliant on it

Let us continue this article on What is Artificial Intelligence by discussing the applications of AI.

What is Artificial Intelligence: Applications of Artificial Intelligence

Machines and computers affect how we live and work. Top companies are continually rolling out revolutionary changes to how we interact with machine-learning technology.

DeepMind Technologies, a British artificial intelligence company, was acquired by Google in 2014. The company created a Neural Turing Machine, allowing computers to mimic the short-term memory of the human brain.

Google's driverless cars and Tesla's Autopilot features are the introductions of AI into the automotive sector. Elon Musk, CEO of Tesla Motors, has suggested via Twitter that Teslas will have the ability to predict the destination that their owners want to go via learning their pattern or behavior via AI.

Furthermore, Watson, a question-answering computer system developed by IBM, is designed for use in the medical field. Watson suggests various kinds of treatment for patients based on their medical history and has proven to be very useful.

Some of the more common commercial business uses of AI are:

1. Banking Fraud Detection

From extensive data consisting of fraudulent and non-fraudulent transactions, the AI learns to predict if a new transaction is fraudulent or not.

2. Online Customer Support

AI is now automating most of the online customer support and voice messaging systems.

3. Cyber Security

Using machine learning algorithms and ample sample data, AI can be used to detect anomalies and adapt and respond to threats.

4. Virtual Assistants

Siri, Cortana, Alexa, and Google now use voice recognition to follow the user's commands. They collect information, interpret what is being asked, and supply the answer via fetched data. These virtual assistants gradually improve and personalize solutions based on user preferences.

Interested in making a career in AI? Well, check your level of preparedness by answering the Artificial Intelligence Exam Questions. Try it now!

Find Our Artificial Intelligence Course in Top Cities

Different Artificial Intelligence Certifications

1. Introduction to Artificial Intelligence Course

Simplilearn's Artificial Intelligence basics program is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You'll learn the difference between supervised, unsupervised and reinforcement learning, be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

2. Machine Learning Course

Simplilearn's Machine Learning Course will make you an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You'll master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of a Machine Learning Engineer.

3. Artificial Intelligence Engineer Master's Program

Simplilearn's Masters in AI, in collaboration with IBM, gives training on the skills required for a successful career in AI. Throughout this exclusive training program, you'll master Deep Learning, Machine Learning, and the programming languages required to excel in this domain and kick-start your career in Artificial Intelligence.

4. Simplilearn's Artificial Intelligence (AI) Capstone Project

Simplilearn's Artificial Intelligence (AI) Capstone project will give you an opportunity to implement the skills you learned in the masters of AI. With dedicated mentoring sessions, you'll know how to solve a real industry-aligned problem. You'll learn various AI-based supervised and unsupervised techniques like Regression, Multinomial Naïve Bayes, SVM, Tree-based algorithms, NLP, etc. The project is the final step in the learning path and will help you to showcase your expertise to employers.

Reasons to Get an Artificial Intelligence Certification: The Key Takeaways

Here are the top reasons why you should get a certification in AI if you're looking to join this exciting and growing field:

1. Demand for Certified AI Professionals will Continue to Grow

The McKinsey Global Institute predicts that approximately 70 percent of businesses will be using at least one type of Artificial Intelligence technology by 2030, and about half of all big companies will embed a full range of Artificial Intelligence technology in their processes. AI will help companies offer customized solutions and instructions to employees in real-time. Therefore, the demand for professionals with skills in emerging technologies like AI will only continue to grow.

2. New and Unconventional Career Paths

A Future of Jobs Report released by the World Economic Forum in 2020 predicts that 85 million jobs will be lost to automation by 2025. However, it goes on to say that 97 new positions and roles will be created as industries figure out the balance between machines and humans.

Because of AI, new skill sets are required in the workforce, leading to new job opportunities. Some of the top AI roles include:

AI/machine learning researcher - Researching to find improvements to machine learning algorithms.

AI software development, program management, and testing - Developing systems and infrastructure that can apply machine learning to an input data set.

Data mining and analysis - Deep investigation of abundant data sources, often creating and training systems to recognize patterns.

Machine learning applications - Applying machine learning or AI framework to a specific problem in a different domain and for example, applying machine learning to gesture recognition, ad analysis, or fraud detection

3. Improve Your Earning Potential

Many of the top tech enterprises are investing in hiring talent with AI knowledge. The average Artificial Intelligence Engineer can earn $164,000 per year, and AI certification is a step in the right direction for enhancing your earning potential and becoming more marketable. Start your AI journey with our AI & Machine Learning Bootcamp.

4. Higher Chances of a Discussion

If you are looking to join the AI industry, then becoming knowledgeable in Artificial Intelligence is just the first step; next, you need verifiable credentials. Certification earned after pursuing Simplilearn's Machine Learning Course will help you reach the interview stage as you'll possess skills that many people in the market do not. Certification will help convince employers that you have the right skills and expertise for a job, making you a valuable candidate.

Artificial Intelligence is emerging as the next big thing in technology. Organizations are adopting AI and budgeting for certified professionals in the field, thus the growing demand for trained and certified professionals. As this emerging field continues to grow, it will have an impact on everyday life and lead to considerable implications for many industries.

FAQs

1. Where is AI used?

Artificial intelligence is frequently utilized to present individuals with personalized suggestions based on their prior searches and purchases and other online behavior. AI is extremely crucial in commerce, such as product optimization, inventory planning, and logistics. Machine learning, cybersecurity, customer relationship management, internet searches, and personal assistants are some of the most common applications of AI. Voice assistants, picture recognition for face unlocking in cellphones, and ML-based financial fraud detection are all examples of AI software that is now in use.

2. What are the social benefits of AI?

Artificial intelligence has the potential to significantly increase workplace efficiency and supplement the job that people can undertake. When AI takes over monotonous or risky duties, it frees up the human workforce to focus on tasks that need creativity and empathy, among other things. AI reduces the time required to complete a task. AI allows for the performance of previously complicated activities at a low cost. AI functions continuously and without interruption, with no downtime. AI improves the capacities of people with disabilities.

3. What Are the 4 Types of AI?

The current categorization system categorizes AI into four basic categories: reactive, theory of mind, limited memory, and self-aware.

4. How Is AI Used Today?

Machines today can learn from experience, adapt to new inputs, and even perform human-like tasks with help from artificial intelligence (AI). Artificial intelligence examples today, from chess-playing computers to self-driving cars, are heavily based on deep learning and natural language processing. There are several examples of AI software in use in daily life, including voice assistants, face recognition for unlocking mobile phones and machine learning-based financial fraud detection. AI software is typically obtained by downloading AI-capable software from an internet marketplace, with no additional hardware required.

5. How Is AI Used in Healthcare?

NLP tools that can comprehend and categorize clinical documents are frequent use by artificial intelligence in healthcare. NLP systems can evaluate unstructured clinical notes on patients, providing remarkable insight into quality understanding, improved methodologies, and better patient outcomes.

6. How is AI helping in our life?

AI and ML-powered software and gadgets mimic human brain processes to assist society in advancing with the digital revolution. AI systems perceive their environment, deal with what they observe, resolve difficulties, and take action to help with duties to make daily living easier. People check their social media accounts on a frequent basis, including Facebook, Twitter, Instagram, and other sites. AI is not only customizing your feeds behind the scenes, but it is also recognizing and deleting bogus news. So, AI is assisting you in your daily life.

7. Why is AI needed?

As a result of artificial intelligence technology, the software is capable of performing human functions, such as planning, reasoning, communication, and perception, more effectively, efficiently, and at a lower cost. Artificial intelligence speeds up, improves precision, and increases the efficacy of human endeavors. To predict fraudulent transactions, implement rapid and accurate credit scoring, and automate labor-intensive tasks in data administration, financial institutions can use artificial intelligence approaches.

8. What is artificial intelligence with examples?

Artificial intelligence involves replicating human intellectual processes through machines, especially computers. There are many applications of AI, such as expert systems, natural language processing, speech recognition, and machine vision.

9. Is AI dangerous?

Aside from planning for a future with super-intelligent computers, artificial intelligence in its current state might already offer problems.

10. What are the advantages of AI?

The advantages of AI include reducing the time it takes to complete a task, reducing the cost of previously done activities, continuously and without interruption, with no downtime, and improving the capacities of people with disabilities.

11. Is artificial intelligence the future?

Artificial intelligence plays a significant role in virtually every field of human endeavor. It is already the primary driver of developing technologies such as big data, robots, and the Internet of Things, and it will continue to be a technical pioneer in the foreseeable future.

What Is Artificial Intelligence?

Artificial Intelligence is a method of making a computer, a computer-controlled robot, or a software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

A Brief History of Artificial Intelligence

Here's a brief timeline of the past six decades of how AI evolved from its inception.

1956 - John McCarthy coined the term 'artificial intelligence' and had the first AI conference.

1969 - Shakey was the first general-purpose mobile robot built. It is now able to do things with a purpose vs. just a list of instructions.

1997 - Supercomputer ' Deep Blue ' was designed, and it defeated the world champion chess player in a match. It was a massive milestone by IBM to create this large computer.

2002 - The first commercially successful robotic vacuum cleaner was created.

2005 - 2019 - Today, we have speech recognition, robotic process automation (RPA), a dancing robot, smart homes, and other innovations make their debut.

2020 - Baidu releases the LinearFold AI algorithm to medical and scientific and medical teams developing a vaccine during the early stages of the SARS-CoV-2 (COVID-19) pandemic. The algorithm can predict the RNA sequence of the virus in only 27 seconds, which is 120 times faster than other methods.

Types of Artificial Intelligence

Below are the various types of AI:

1. Purely Reactive

These machines do not have any memory or data to work with, specializing in just one field of work. For example, in a chess game, the machine observes the moves and makes the best possible decision to win.

2. Limited Memory

These machines collect previous data and continue adding it to their memory. They have enough memory or experience to make proper decisions, but memory is minimal. For example, this machine can suggest a restaurant based on the location data that has been gathered.

3. Theory of Mind

This kind of AI can understand thoughts and emotions, as well as interact socially. However, a machine based on this type is yet to be built.

4. Self-Aware

Self-aware machines are the future generation of these new technologies. They will be intelligent, sentient, and conscious.

How Does Artificial Intelligence Work?

Put simply, AI systems work by merging large with intelligent, iterative processing algorithms. This combination allows AI to learn from patterns and features in the analyzed data. Each time an Artificial Intelligence system performs a round of data processing, it tests and measures its performance and uses the results to develop additional expertise.

Ways of Implementing AI

Let's explore the following ways that explain how we can implement AI:

Machine Learning

It is machine learning that gives AI the ability to learn. This is done by using algorithms to discover patterns and generate insights from the data they are exposed to.

Deep Learning

Deep learning, which is a subcategory of machine learning, provides AI with the ability to mimic a human brain's neural network. It can make sense of patterns, noise, and sources of confusion in the data.

Consider an image shown below:

Here we segregated the various kinds of images using deep learning. The machine goes through various features of photographs and distinguishes them with a process called feature extraction. Based on the features of each photo, the machine segregates them into different categories, such as landscape, portrait, or others.

Let us understand how deep learning works.

Consider an image shown below:

The above image depicts the three main layers of a neural network:

Input Layer

Hidden Layer

Output Layer

Input Layer

The images that we want to segregate go into the input layer. Arrows are drawn from the image on to the individual dots of the input layer. Each of the white dots in the yellow layer (input layer) are a pixel in the picture. These images fill the white dots in the input layer.

We should have a clear idea of these three layers while going through this artificial intelligence tutorial.

Hidden Layer

The hidden layers are responsible for all the mathematical computations or feature extraction on our inputs. In the above image, the layers shown in orange represent the hidden layers. The lines that are seen between these layers are called 'weights'. Each one of them usually represents a float number, or a decimal number, which is multiplied by the value in the input layer. All the weights add up in the hidden layer. The dots in the hidden layer represent a value based on the sum of the weights. These values are then passed to the next hidden layer.

You may be wondering why there are multiple layers. The hidden layers function as alternatives to some degree. The more the hidden layers are, the more complex the data that goes in and what can be produced. The accuracy of the predicted output generally depends on the number of hidden layers present and the complexity of the data going in.

Output Layer

The output layer gives us segregated photos. Once the layer adds up all these weights being fed in, it'll determine if the picture is a portrait or a landscape.

Example - Predicting Airfare Costs

This prediction is based on various factors, including:

Airline

Origin airport

Destination airport

Departure date

We begin with some historical data on ticket prices to train the machine. Once our machine is trained, we share new data that will predict the costs. Earlier, when we learned about four kinds of machines, we discussed machines with memory. Here, we talk about the memory only, and how it understands a pattern in the data and uses it to make predictions for the new prices as shown below:

AI Programming Cognitive Skills: Learning, Reasoning and Self-Correction

Artificial Intelligence emphasizes three cognitive skills of learning, reasoning, and self-correction, skills that the human brain possess to one degree or another. We define these in the context of AI as:

Learning: The acquisition of information and the rules needed to use that information.

Reasoning: Using the information rules to reach definite or approximate conclusions.

Self-Correction: The process of continually fine-tuning AI algorithms and ensure that they offer the most accurate results they can.

However, researchers and programmers have extended and elaborated the goals of AI to the following:

1. Logical Reasoning AI programs enable computers to perform sophisticated tasks. On February 10, 1996, IBM's Deep Blue computer won a game of chess against a former world champion, Garry Kasparov.

2. Knowledge Representation
Smalltalk is an object-oriented, dynamically typed, reflective programming language that was created to underpin the "new world" of computing exemplified by "human-computer symbiosis."

3. Planning and Navigation
The process of enabling a computer to get from point A to point B. A prime example of this is Google's self-driving Toyota Prius.

4. Natural Language Processing Set up computers that can understand and process language.

5. Perception Use computers to interact with the world through sight, hearing, touch, and smell.

6. Emergent Intelligence Intelligence that is not explicitly programmed, but emerges from the rest of the specific AI features. The vision for this goal is to have machines exhibit emotional intelligence and moral reasoning.

Some of the tasks performed by AI-enabled devices include:

Speech recognition

Object detection

Solve problems and learn from the given data

Plan an approach for future tests to be done

What is Artificial Intelligence: Advantages and Disadvantages of AI

Artificial intelligence has its pluses and minuses, much like any other concept or innovation. Here's a quick rundown of some pros and cons.

Pros

It reduces human error

It never sleeps, so it's available 24x7

It never gets bored, so it easily handles repetitive tasks

It's fast

Cons

It's costly to implement

It can't duplicate human creativity

It will definitely replace some jobs, leading to unemployment

People can become overly reliant on it

Let us continue this article on What is Artificial Intelligence by discussing the applications of AI.

What is Artificial Intelligence: Applications of Artificial Intelligence

Machines and computers affect how we live and work. Top companies are continually rolling out revolutionary changes to how we interact with machine-learning technology.

DeepMind Technologies, a British artificial intelligence company, was acquired by Google in 2014. The company created a Neural Turing Machine, allowing computers to mimic the short-term memory of the human brain.

Google's driverless cars and Tesla's Autopilot features are the introductions of AI into the automotive sector. Elon Musk, CEO of Tesla Motors, has suggested via Twitter that Teslas will have the ability to predict the destination that their owners want to go via learning their pattern or behavior via AI.

Furthermore, Watson, a question-answering computer system developed by IBM, is designed for use in the medical field. Watson suggests various kinds of treatment for patients based on their medical history and has proven to be very useful.

Some of the more common commercial business uses of AI are:

1. Banking Fraud Detection

From extensive data consisting of fraudulent and non-fraudulent transactions, the AI learns to predict if a new transaction is fraudulent or not.

2. Online Customer Support

AI is now automating most of the online customer support and voice messaging systems.

3. Cyber Security

Using machine learning algorithms and ample sample data, AI can be used to detect anomalies and adapt and respond to threats.

4. Virtual Assistants

Siri, Cortana, Alexa, and Google now use voice recognition to follow the user's commands. They collect information, interpret what is being asked, and supply the answer via fetched data. These virtual assistants gradually improve and personalize solutions based on user preferences.

Interested in making a career in AI? Well, check your level of preparedness by answering the Artificial Intelligence Exam Questions. Try it now!

Different Artificial Intelligence Certifications

1. Introduction to Artificial Intelligence Course

Simplilearn's Artificial Intelligence basics program is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You'll learn the difference between supervised, unsupervised and reinforcement learning, be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

2. Machine Learning Course

Simplilearn's Machine Learning Course will make you an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You'll master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of a Machine Learning Engineer.

3. Artificial Intelligence Engineer Master's Program

Simplilearn's Masters in AI, in collaboration with IBM, gives training on the skills required for a successful career in AI. Throughout this exclusive training program, you'll master Deep Learning, Machine Learning, and the programming languages required to excel in this domain and kick-start your career in Artificial Intelligence.

4. Simplilearn's Artificial Intelligence (AI) Capstone Project

Simplilearn's Artificial Intelligence (AI) Capstone project will give you an opportunity to implement the skills you learned in the masters of AI. With dedicated mentoring sessions, you'll know how to solve a real industry-aligned problem. You'll learn various AI-based supervised and unsupervised techniques like Regression, Multinomial Naïve Bayes, SVM, Tree-based algorithms, NLP, etc. The project is the final step in the learning path and will help you to showcase your expertise to employers.

Reasons to Get an Artificial Intelligence Certification: The Key Takeaways

Here are the top reasons why you should get a certification in AI if you're looking to join this exciting and growing field:

1. Demand for Certified AI Professionals will Continue to Grow

The McKinsey Global Institute predicts that approximately 70 percent of businesses will be using at least one type of Artificial Intelligence technology by 2030, and about half of all big companies will embed a full range of Artificial Intelligence technology in their processes. AI will help companies offer customized solutions and instructions to employees in real-time. Therefore, the demand for professionals with skills in emerging technologies like AI will only continue to grow.

2. New and Unconventional Career Paths

A Future of Jobs Report released by the World Economic Forum in 2020 predicts that 85 million jobs will be lost to automation by 2025. However, it goes on to say that 97 new positions and roles will be created as industries figure out the balance between machines and humans.

Because of AI, new skill sets are required in the workforce, leading to new job opportunities. Some of the top AI roles include:

AI/machine learning researcher - Researching to find improvements to machine learning algorithms.

AI software development, program management, and testing - Developing systems and infrastructure that can apply machine learning to an input data set.

Data mining and analysis - Deep investigation of abundant data sources, often creating and training systems to recognize patterns.

Machine learning applications - Applying machine learning or AI framework to a specific problem in a different domain and for example, applying machine learning to gesture recognition, ad analysis, or fraud detection

3. Improve Your Earning Potential

Many of the top tech enterprises are investing in hiring talent with AI knowledge. The average Artificial Intelligence Engineer can earn $164,000 per year, and AI certification is a step in the right direction for enhancing your earning potential and becoming more marketable. Start your AI journey with our AI & Machine Learning Bootcamp.

4. Higher Chances of a Discussion

If you are looking to join the AI industry, then becoming knowledgeable in Artificial Intelligence is just the first step; next, you need verifiable credentials. Certification earned after pursuing Simplilearn's Machine Learning Course will help you reach the interview stage as you'll possess skills that many people in the market do not. Certification will help convince employers that you have the right skills and expertise for a job, making you a valuable candidate.

Artificial Intelligence is emerging as the next big thing in technology. Organizations are adopting AI and budgeting for certified professionals in the field, thus the growing demand for trained and certified professionals. As this emerging field continues to grow, it will have an impact on everyday life and lead to considerable implications for many industries.

FAQs

1. Where is AI used?

Artificial intelligence is frequently utilized to present individuals with personalized suggestions based on their prior searches and purchases and other online behavior. AI is extremely crucial in commerce, such as product optimization, inventory planning, and logistics. Machine learning, cybersecurity, customer relationship management, internet searches, and personal assistants are some of the most common applications of AI. Voice assistants, picture recognition for face unlocking in cellphones, and ML-based financial fraud detection are all examples of AI software that is now in use.

2. What are the social benefits of AI?

Artificial intelligence has the potential to significantly increase workplace efficiency and supplement the job that people can undertake. When AI takes over monotonous or risky duties, it frees up the human workforce to focus on tasks that need creativity and empathy, among other things. AI reduces the time required to complete a task. AI allows for the performance of previously complicated activities at a low cost. AI functions continuously and without interruption, with no downtime. AI improves the capacities of people with disabilities.

3. What Are the 4 Types of AI?

The current categorization system categorizes AI into four basic categories: reactive, theory of mind, limited memory, and self-aware.

4. How Is AI Used Today?

Machines today can learn from experience, adapt to new inputs, and even perform human-like tasks with help from artificial intelligence (AI). Artificial intelligence examples today, from chess-playing computers to self-driving cars, are heavily based on deep learning and natural language processing. There are several examples of AI software in use in daily life, including voice assistants, face recognition for unlocking mobile phones and machine learning-based financial fraud detection. AI software is typically obtained by downloading AI-capable software from an internet marketplace, with no additional hardware required.

5. How Is AI Used in Healthcare?

NLP tools that can comprehend and categorize clinical documents are frequent use by artificial intelligence in healthcare. NLP systems can evaluate unstructured clinical notes on patients, providing remarkable insight into quality understanding, improved methodologies, and better patient outcomes.

6. How is AI helping in our life?

AI and ML-powered software and gadgets mimic human brain processes to assist society in advancing with the digital revolution. AI systems perceive their environment, deal with what they observe, resolve difficulties, and take action to help with duties to make daily living easier. People check their social media accounts on a frequent basis, including Facebook, Twitter, Instagram, and other sites. AI is not only customizing your feeds behind the scenes, but it is also recognizing and deleting bogus news. So, AI is assisting you in your daily life.

7. Why is AI needed?

As a result of artificial intelligence technology, the software is capable of performing human functions, such as planning, reasoning, communication, and perception, more effectively, efficiently, and at a lower cost. Artificial intelligence speeds up, improves precision, and increases the efficacy of human endeavors. To predict fraudulent transactions, implement rapid and accurate credit scoring, and automate labor-intensive tasks in data administration, financial institutions can use artificial intelligence approaches.

8. What is artificial intelligence with examples?

Artificial intelligence involves replicating human intellectual processes through machines, especially computers. There are many applications of AI, such as expert systems, natural language processing, speech recognition, and machine vision.

9. Is AI dangerous?

Aside from planning for a future with super-intelligent computers, artificial intelligence in its current state might already offer problems.

10. What are the advantages of AI?

The advantages of AI include reducing the time it takes to complete a task, reducing the cost of previously done activities, continuously and without interruption, with no downtime, and improving the capacities of people with disabilities.

11. Is artificial intelligence the future?

Artificial intelligence plays a significant role in virtually every field of human endeavor. It is already the primary driver of developing technologies such as big data, robots, and the Internet of Things, and it will continue to be a technical pioneer in the foreseeable future.

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what is the meaning of artificial intelligence

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what is artificial intelligence with examples

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What is Artificial Intelligence? Types, History, and Future [2023 Edition] | Simplilearn

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Artificial intelligence (AI) is currently one of the hottest buzzwords in tech and with good reason. The last few years have seen several innovations and advancements that have previously been solely in the realm of science fiction slowly transform into reality.

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Everyday AI Podcast - An AI and ChatGPT Podcast

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Listen to Everyday AI Podcast - An AI and ChatGPT Podcast on Spotify. The Everyday AI podcast is a daily livestream, podcast and free newsletter where we help everyday people grow their careers with AI. The Everyday AI podcast is hosted by Jordan Wilson, a former journalist who's now the owner of a boutique digital strategy company with 20 years of martech experience.

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How do you use technology to support your work-life balance

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How do you use technology to support your work-life balance

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Work-life balance is a term that describes how well you manage your time, energy, and attention between your personal and professional goals. It can affect your health, happiness, and productivity in both domains. Technology can be a double-edged sword when it comes to work-life balance: it can enable flexibility, communication, and efficiency, but it can also create distractions, stress, and expectations of constant availability. In this article, you will learn some tips on how to use technology to support your work-life balance and well-being.

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How do you use technology to support your work-life balance and well-being?

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Learn some tips on how to use technology to set boundaries, leverage flexibility, manage distractions, foster connection, and balance quality and quantity of your work and personal activities.

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Productivity is the measurement of how much work employees are able to do, and how well they're able to do that work. Many things have an impact on productivity - including work environment, employee morale and company processes. Improving productivity is often a main goal for company leaders, and finding new tools to increase employee productivity is a top priority.

For both remote workers and in-house teams, technology can improve productivity for employees by offering better collaboration, communication and time-saving tools. But as organizations add new technologies without measuring their impact, teams may be using tools they don't need or actually may hinder employee productivity.

Find out how new technology can increase productivity in the workplace and how ActivTrak can help measure the impact of technology on productivity.

Is new technology making us more productive?

Organizations introduce new technology into the workplace to try to increase employee productivity while reducing errors, speeding up timelines and reducing stress for workers. Cloud-based tech has already impacted organizations' ability to work from anywhere - including on mobile devices. Technologies like artificial intelligence (AI) are predicted to have major impacts on industries and businesses in the next decade.

However, some researchers argue that technology isn't living up to its promise of making employees more productive. New technology can be a drain on team members, especially if it's not intuitive. In fact, some new technologies, like social media, can distract employees when not implemented properly. The worst case scenario is that employees try to avoid using the very technology that leadership has spent valuable time and money finding to make their jobs easier.

But there are ways to ensure that new technology can improve productivity for organizations of all sizes. One way is to measure its impact.

3 ways technology can improve productivity

If boosting productivity is a goal of your organization, technology is probably the first place you turn. Here are a few ways technology can boost productivity within your organization:

1. Automation and time-saving tools

Perhaps the biggest way that technology can improve productivity is through time-saving tools. This is especially evident with automation. By taking mundane or repetitive tasks out of the hands of employees, you can free them up to do more creative work.

Time-saving tools can also help employees get their work done more quickly, which is an obvious boon to productivity. This can, in turn, help with employee engagement, which can boost morale and feed back into the productivity loop.

2. Improved communication and collaboration tools

With employees spread out all over the map in remote environments or even within a single office, communication and collaboration are keys to productivity. Technology can help employees stay connected by making it easy to communicate, regardless of where employees are located. The right tools can help track projects and streamline task management between employees to prevent bottlenecks that create timeline delays. Communication and collaboration tools can also help managers better track employee sentiment, helping to find the cause of employee morale issues and fix problems to keep employees engaged.

3. Increased accessibility

Accessible work tools improve the work environment by allowing all employees to get their work done more efficiently. In fact, increased accessibility from new technology is helping create employment opportunities for people who have been left out of the workforce in the past.

All employees can benefit from the ability to access work tools from the cloud and to do simple tasks from their mobile devices. Remote and hybrid employees are more productive when they can access their work easily from anywhere, while the company can rely on new technology to maintain security and data protection at the same time.

Measuring the impact of technology on productivity

Determining if new technology is working for your organization starts with tracking productivity by collecting the right data. You have to dig beyond simple time tracking to see how employees are doing, although knowing where they're spending their time is a good start. You also need to be able to compare productivity data across time, and against tangible goals.

Knowing how technology impacts productivity in your organization can allow you to create employee engagement strategies to improve productivity. By setting specific goals for productivity and knowing which new technologies lead there, you can convert disengaged employees to highly engaged employees and ensure they're equipped to do their best work.

Increase productivity with ActivTrak's productivity solutions

New technology can increase productivity if it's implemented correctly and measured across time, but doing so requires the right tools and the knowledge of how to analyze their usage.

Find out where your tools are working for your team - and where they aren't - with ActivTrak's productivity solutions. ActivTrak gives you tools to measure productivity and to see how new technologies are working for you. Get workforce analytics and productivity dashboards to understand how your employees are doing based on real data.

Schedule a free demo today.

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How Can Technology Improve Productivity?

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How can technology improve productivity? Here are 3 ways technology can increase productivity at your workplace, and how to measure the impact.

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Real Xchange is now hosting the monthly CoP's. You will need to go online to register or register through the emails (if you signed up for them - checky our junk/clutter box for those)

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The information presented on this website (REAL Xchange) has been developed by Community Living Essex County and partners for information sharing purposes only. This information does not constitute professional advice. Any implementation of ideas presented here should be undertaken with care and consideration given to your organization's unique operating environment*

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Resource:  Supporting New Staff Notes from Lauren

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Resource:  Supporting New Staff Notes from Lauren

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Supporting New Staff - Organizational Leadership

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Supporting New Employees and Probationary Check Ins

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make sure to visit the Real Xchange to register

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Operational Leaders Community of Practice Notes Sept 16 2024

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Oct 2024 Forum Polarity presentation Final

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Escape from flatland Using polarity management to coach organizational leaders from a higher perspective by Beach Joyce 2009

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ET Special

Effective leadership is not solely about taking charge; it's also about knowing when to share the load. Delegation, the act of entrusting tasks and responsibilities to others, is a critical skill that distinguishes great leaders from good ones. In this article, we will delve into the art of delegation, exploring why it's essential for leadership and how to master this skill.

Understanding the Importance of Delegation
Delegation is more than just giving work to subordinates; it's a strategic decision that can benefit both the leader and the team. Here's why it's crucial for effective leadership:

1. Time Management: Leaders often have a multitude of responsibilities. Delegating tasks allows them to focus on high-priority matters that require their expertise and attention.

2. Team Development: Delegation is an opportunity for team members to learn, grow, and take on more significant roles. It can foster a sense of empowerment and motivation among employees.

3. Expertise Utilization: Leaders can't be experts in everything. Delegating tasks to individuals with the right skills and knowledge ensures that the job is done well.

4. Work-Life Balance: Effective delegation can help leaders strike a balance between their professional and personal lives, reducing burnout and stress.

The Art of Delegation
Now that we've established why delegation is vital, let's explore how leaders can master this art:

1. Clear Communication: Effective delegation begins with clear instructions. Leaders should communicate the task's objectives, expectations, and any relevant deadlines or constraints.

2. Selecting the Right Person: Matching the right task to the right individual is crucial. Consider each team member's strengths, weaknesses, and skill sets when assigning responsibilities.

3. Trust and Empower: Delegation is not just about assigning tasks; it's about trusting your team to complete them. Empower your team members by giving them the autonomy to make decisions within the scope of their tasks.

4. Provide Resources: Ensure that those to whom tasks are delegated have the necessary resources, whether it's information, tools, or support, to accomplish their assignments successfully.

5. Feedback and Support: Maintain open lines of communication throughout the delegated task. Provide regular feedback and support as needed, but avoid micromanaging.

6. Accountability: Hold team members accountable for the tasks they've been delegated. This means acknowledging both successes and shortcomings and addressing any issues promptly.

The Benefits of Delegation
Effective delegation yields numerous benefits for both leaders and their teams:

1. Increased Productivity: By distributing tasks, leaders can accomplish more collectively, increasing overall productivity.

2. Skill Development: Delegation fosters skill development within the team, enabling individuals to broaden their expertise and take on more significant roles.

3. Enhanced Team Morale: Empowering team members with responsibility can boost morale and job satisfaction, creating a more positive work environment.

4. Better Decision-Making: A diverse team, each with unique perspectives, can lead to more well-rounded decision-making.

5. Leadership Growth: Delegation is a hallmark of effective leadership. Developing this skill can enhance a leader's reputation and career prospects.

Case Study: The Transformational Leader
Consider the story of Sarah, a manager tasked with leading a struggling department. Instead of attempting to shoulder the entire burden herself, Sarah embraced delegation. She analyzed her team's strengths and weaknesses, assigning tasks accordingly. She empowered her team members by giving them ownership of their responsibilities and providing the necessary support.

Under Sarah's leadership, the department flourished. Team members felt valued and motivated, leading to increased productivity and innovation. Sarah's strategic delegation of tasks not only transformed the department but also propelled her into a higher leadership role within the organization.

The art of delegation is a cornerstone of effective leadership. Leaders who master this skill can leverage their team's capabilities to achieve remarkable results. Delegation leads to improved time management, skill development, and increased team morale. It empowers team members, fosters collaboration, and ultimately drives success. Whether you're a seasoned leader or an aspiring one, honing your delegation skills is essential for achieving your goals and leading your team to greatness.

FAQs
Q: What is delegation, and why is it important for leaders?
A: Delegation is the process of entrusting tasks and responsibilities to others. It's important for leaders because it allows them to focus on strategic activities, empowers team members, and promotes efficiency within the organization.

Q: How can I become a better delegator?
A: To become a better delegator, you can start by assessing your team's strengths, setting clear expectations, providing proper training and resources, and maintaining open communication with your team members.

Q: What tasks should I delegate and which ones should I handle myself?
A: Delegate tasks that are routine, time-consuming, or can be performed by someone else with the necessary skills. Tasks that require your unique expertise or strategic decision-making should be handled by you.

Q: How do I choose the right person to delegate tasks to?
A: Consider the skills, experience, and workload of your team members. Match the task to the person with the most suitable skills and capacity to ensure successful delegation.

Q: What are the common challenges in delegation, and how can I overcome them?
A: Common challenges include fear of losing control, lack of trust, and inadequate communication. To overcome these challenges, build trust with your team, communicate expectations clearly, and provide support when needed.
Also Read:

Disclaimer: This content was authored by the content team of ET Spotlight team. The news and editorial staff of ET had no role in the creation of this article.

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The Art of Delegation: Essential Leadership Skills for Delegating Tasks

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Knowing when to delegate tasks is just as important to effective leadership as assertiveness. Giving duties and responsibilities to others, or delegation, is a crucial ability that sets exceptional leaders apart from mediocre ones. This post will examine the art of delegation, including its importance for leadership and tips for becoming an expert in it.

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Operational Leadership Nov 18 Delegation Notes

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How to Run a Meeting - Harvard Business Review

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How to Run a Meeting - Harvard Business Review

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Why is it that any single meeting may be a waste of time, an irritant, or a barrier to the achievement of an organization's objectives? The answer lies in the fact, as the author says, that "all sorts of human crosscurrents can sweep the discussion off course, and errors of psychology and technique on the chairman's part can defeat its purposes." This article offers guidelines on how to right things that go wrong in meetings. The discussion covers the functions of a meeting, the distinctions in size and type of meetings, ways to define the objectives, the preparations, the chairman's role, and ways to conduct a meeting that will achieve its objectives.

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Why is it that any single meeting may be a waste of time, an irritant, or a barrier to the achievement of an organization's objectives? The answer lies in the fact, as the author says, that "all sorts of human crosscurrents can sweep the discussion off course, and errors of psychology and technique on the chairman's part can defeat its purposes."

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Efficient Meetings - 7 Tips To Run an Effective Meeting

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Efficient Meetings - 7 Tips To Run an Effective Meeting

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Efficient Meetings - 7 Tips To Run an Effective Meeting

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Operational Leadership CoP Dec 16 Team Meetings

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Operational Leaders CoP Notes - January 2025 - Change Management

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a way for staff to reflect on how they react to change and how they may want to grow

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Recruitment and Retention in Developmental Services Toolkit - The Real Xchange

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Tools and Strategies for Time Management

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Tools and Strategies for Time Management

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Operational Leaders CoP April 28 Time Management

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Recruitment and Retention in Developmental Services Toolkit - The Real Xchange

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Tools: Turning conflict into collaboration

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Tools: Turning conflict into collaboration

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TeamDynamics describes how your team works together and how you fit in.

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TeamDynamics: Personality Test for Modern Teams | Team Building Tool

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Discover your team’s personality. Unlock your team’s potential. TeamDynamics is the modern team building tool helping top teams thrive.

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the agency who uses this, has these questions set up in a google form.

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Lenovo Tech World 2023: Signing the Future with The Libras Project

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Resource: A Bridge to Success: Using AI to raise the bar in special education

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Resource: A Bridge to Success: Using AI to raise the bar in special education

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A Bridge to Success: Using AI to raise the bar in special education

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Do you believe that you can adapt your style? Harvard University professor Ron Heifetz and leadership experts David Rooke and William Torbert say that you can. So let's look in more depth at Lewin's leadership styles, their strengths and risks, and how you might become more skillful in using them.

Authoritarian, Autocratic Leadership

This approach is helpful when your team needs to follow a process "to the letter," to manage a significant risk. It's also effective when you need to be hands-on with people who miss deadlines, in departments where conflict is an issue, or in teams that rely on quick decisions being made.

But you need to be aware that relying on control and punishment to maintain standards will likely drive people away. Similarly, if you always demand that your team works at top speed, you can end up exhausting everyone.

Instead, you can show respect for team members by providing the rationale for your decisions. And they will more likely comply with your expectations if you take the trouble to explain Why the Rules Are There.

You can improve your ability to "lead from the front" by Planning for a Crisis, Thinking on Your Feet, and making good decisions under pressure. But be sure to balance these skills with an awareness of their potential negative impact on creativity, ideas gathering, motivation, and trust within the team.

Being too autocratic can also mean that you'll find it hard to stand back from the detail and take a wider, more strategic view.
Tip:
Democratic, Participative Leadership

With this approach, you set goals, guide team discussions, and make the final decision. But you also acknowledge that your people can have valuable insight into a problem or process, so you actively consult them. As a result, you'll likely gain creative input and fresh ideas that you wouldn't have come up with if you were working alone.

You might wonder how to manage differing opinions in the team, once you've invited participation in this way. Your goal is to build a culture in which people can have healthy debates with one another. So:

Be aware that processes could become dangerously slow if you involve your team members in every decision. You'll need to judge carefully whether you need to adopt a more autocratic approach, even if it's only briefly.

The Delegating, "Laissez Faire" Leader

"Laissez faire" is a French phrase adopted into English that means, "Let (people) do (as they choose)." It describes a policy of leaving situations to run their own course, without interfering.

By adopting this style of leadership, you empower your team to make decisions and to organize its own processes, with little or no guidance. The danger of this approach is that situations can collapse into chaos if your people have low motivation or poor skills. It can work, however, if they are experienced, knowledgeable, confident, creative, and driven, or if deadlines are flexible and processes are simple.

Be in no doubt, though, that as the leader you will still be held accountable for the outcome! So you might want to organize team decision making processes to support your people while you take a "hands off" approach. Just be sure to delegate the right task to the right person, as a mismatch could mean that the whole team fails.

Avoid becoming too remote, even with a high-performing, highly autonomous team. Change can occur at any time in business, so your organization's requirements for your team might shift after your initial brief. If this happens, stay in touch with your people, and communicate clearly and promptly. Remember, you can offer your support without becoming a micromanager!
Further Reading:

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What's Your Leadership Style? - Learn About the Strengths and Weaknesses of the Way You Like to Lead

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Use this quiz to discover your preferred leadership style, and to develop other ways to lead people successfully in different situations.

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Operational Leaders Community of Practice - September 2025 - Discussion Notes

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7 Ways To Show That You’re A Leader When You Work Remotely

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7 Ways To Show That You’re A Leader When You Work Remotely

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In the remote work environment where commuting is history and flexibility reigns, leaders face the unique challenge of maintaining visibility and proving their leadership without the benefit of regular, traditional face-to-face interactions. Here's how you can shine as a leader (whether you have the title or not) from afar.

1. Master Your Messaging

Communicate with Intention. Regular touchpoints via email, instant messaging, and video calls can bridge the distance. Be succinct and purposeful to prevent any confusion. But remember, rapport is built in the lighter moments-don't shy away from the occasional non-work chitchat.

Embrace Video. In the absence of physical presence, video is your strongest ally. Use it to convey your message with the added depth of visual and vocal cues. Video allows you to connect more deeply and emotionally with your people. Before engaging in any important communications, ask yourself if video is the right vehicle. And consider creating video weekly or monthly updates.

Leverage Collaboration Tools. Tools like Slack and Asana are your digital workspace. Know them inside out and communicate with intent, replacing the nuances lost when you're communicating with the 26 letters of the alphabet. Also, use these tools to host some of the more informal interactions that are normally part of the in-person environment.

2. Maximize Meetings

Whether you're leading or attending, virtual meetings are your stage. Command attention, drive the agenda, and demonstrate your leadership acumen. Meetings have always been the best place to demonstrate your leadership and build your personal brand. When it comes to virtual meetings, up your game. Know how to captivate online, keeping participants engaged.

3. Humanize The Digital Divide

Acknowledge and Appreciate. Recognition goes a long way. According to Great Place to Work, 37% of employees value acknowledgment above all. Be the leader who celebrates every win, and do it publicly. Everyone likes to be lauded in the presence of their peers.

Be Doubly Human. Authentic leaders foster connection. In a world where disconnection is prevalent, your genuine engagement can rekindle team spirit. Deliberately inject humanity into your interactions with your people. With team cohesion waning and tech taking over the workplace, focus on the humanity.

Reserve time for meaningful chats. Set aside dedicated hours for engaging in non-work related activities. Understanding and supporting team members' unique circumstances can alleviate the isolation of remote work.

4. Champion Growth And Strengthen The Team

Lead the charge in virtual team-building activities. Shared experiences can forge stronger bonds and spotlight you as a visionary leader. A shared learning experience, for instance, can build team cohesion. Promote continuous learning and personal development. Share your expertise and encourage your team to grow with you. Sponsor team development that focuses on social skills to help everyone get to know each other better.

5. Optimize Face-to-Face Opportunities

The rarity of in-person interactions makes them invaluable. Use these occasions for meaningful engagements and to foster genuine relationships. When you have the opportunity for in-person team gatherings, prioritize group activities to foster human connections.

6. Be A Thought Leader

By being visible on social media platforms, or on stage at conferences, you become visible to your team and colleagues. Remember to connect with your team members in all relevant social media platforms. Collaborate with colleagues to produce valuable thought-leadership content that you can share with internal and external stakeholders.

7. Lead by Example

Show how disciplined remote work looks. Your example sets a precedent for your team's work habits. When it comes to delegation, make sure the team knows that it's not just about offloading tasks; it's about instilling confidence and nurturing decision-making abilities.

As a remote leader or future remote leader, cultivating these seven interconnected skills is essential. They not only position you as an effective leader but also as an inspiring one, who leads with heart and transparency, inspiring a team that's connected, engaged, and collectively pursuing the team mission.

William Arruda is a keynote speaker, co-founder of CareerBlast.TV and creator of the 360Reach Personal Brand Survey that helps you get candid, meaningful feedback from people who know you.

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7 Ways To Show That You're A Leader When You Work Remotely

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Remote leaders have to work doubly hard to connect with their team. Show your leadership skill by implementing these 7 leadership skills for remote and hybrid leaders.

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Interpersonal dynamics at a distance - Leading at a Distance Video Tutorial | LinkedIn Learning, formerly Lynda.com

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After watching this video, you will be familiar with five things you can do to build strong working relationships with team members and how to avoid proximity bias. This allows you to have strong relationships wherever people work.

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Leading from a Distance: 5 Lessons for Successful Virtual Teaming

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Leading from a Distance: 5 Lessons for Successful Virtual Teaming

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Leading from a Distance: 5 Lessons for Successful Virtual Teaming

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As the COVID-19 crisis unfolds, remote working is becoming a new normal. Drawing on our extensive research into what differentiates top-performing virtual teams and leaders, we offer some advice for how leaders can keep their teams engaged and aligned.

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How to Lead a Team on Different Schedules

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How to Lead a Team on Different Schedules

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How to Lead a Team on Different Schedules - Let's Grow Leaders

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How do you build a high-performing, cohesive team when people are working on different schedules? Here are tips that can help.

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Integrating employees with diverse profiles is an asset, creating advantages for organisations. Learn about eight unique benefits of diversity in building teams.

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How performance management can foster diversity and inclusion

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How performance management can foster diversity and inclusion

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Your performance management approach sets the tone for what you value as an organization and hence who feels valued and respected as an individual. Here are five ways for HR leaders to ensure that your approach is one that embraces diversity and creates an inclusive environment.

1. Set clear goals to base performance on facts, not opinion

If expectations are unclear, employees may feel like they're not evaluated based on their performance. Instead, factors unrelated to their contributions, such as gender or age, seem to creep into their assessment. Of course, a manager could also simply have a bad day and therefore give more critical feedback.

Defining and assessing performance based on specific objectives and clearly articulated behaviors ensures that the focus is on what people actually contribute to the organization. And it limits the tendency to base performance on a gut feeling that's subject to biases and prejudices.

2. Use multiple feedback sources to limit bias

Basing performance evaluation on one person's perception at one point in time makes biased reviews much more likely. Similarity bias makes us devote more attention to people similar to them. As a result, you might have to work harder for recognition in your performance review if your manager is an Ivy League graduate, and you're not.

Adding 360-degree reviews to your performance management process ensures you include multiple sources (managers, colleagues, reports) and reduces the likeliness of biased reviews. In addition, a culture of ongoing feedback helps tackle recency bias. The more frequent the feedback and the more diverse the group of people it's coming from, the more balanced a view you get of someone's performance.

3. Nudge people into using inclusive language

Even with the best intentions, words often convey prejudices, stereotypes, and discrimination. For example, words can suggest expectations or limitations related to their social group. The sentence " I'm surprised you stay on top of all the latest trends in the industry, especially given your age " may sound like a compliment. But more importantly, it suggests age-related limitations and has no place in an employee evaluation.

To avoid discrimination of any kind, remind staff to check their language when talking about other people's job performance. An easy way to embrace diversity and inclusion (D&I) through words is to include a helpful note in all performance review and peer feedback forms.

Feel free to copy and paste this snippet into your feedback forms to remind people about using inclusive language:

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4. Reinforce inclusive behaviors

Role models are a prerequisite for inclusive behaviors to spread across your organization. Also, employees who don't associate these desired behaviors with positive responses tend to put in less effort.

So if you want a culture of inclusion, reinforcing inclusive behavior is key. Encourage staff (and especially leadership) to keep their eyes open for inclusive behavior of their co-workers and to recognize it publicly when they see it. For example, someone who actively seeks input from people who don't usually contribute much in meetings should be reinforced in that behavior. If you use Small Improvements, you can add a custom "Includer" badge to our Praise feature that people can use to give kudos to inclusive colleagues.

Based on extensive research, Deloitte has identified six signature traits of inclusive leaders. We think they apply to people managers and individual contributors alike, so watch out for these traits and related behaviors:

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5. Ask employees how they feel

You might think team members feel welcome at work - perhaps because you do - but actually, they don't. The only way to find out if people feel included is to ask them.

Engagement or pulse surveys are an effective way to gauge people's perception of diversity, inclusion, and belonging regularly. Consider using a pulse survey question template that measures the state of D&I in your organization.

Also, encourage managers to make the topic part of 1:1 meetings with their reports . Managers could ask their reports questions like these:

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Over two million copies sold. Stephen M. R. Covey shows how trust-and the speed at which it is established with clients, employees, and all stakeholders-is the single most critical component of a successful leader and organization. The Speed of Trust offers an unprecedented and eminently practical look at exactly how trust functions in every transaction and every relationship-from the most personal to the broadest, most indirect interaction. It specifically demonstrates how to establish trust intentionally so that you and your organization can forego the time-killing, bureaucratic check-and-balance processes that is so often deployed in lieu of actual trust.

Stephen M. R. Covey, widely known as one of the world's leading authorities on trust, asserts that it is "the most overlooked, misunderstood, underutilized asset to enable performance. Its impact, for good or bad, is dramatic and pervasive. It's something you can't escape." Thankfully, it's is also the thing that can dramatically improve your personal and professional success.

Why trust? The simple, often overlooked fact is this: work gets done with and through people.

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9 exercises to promote psychological safety in your organization 

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9 exercises to promote psychological safety in your organization 

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How to encourage courageous conversations at the workplace

How to promote Psychological Safety in the workplace has never been as important as now. The line between work and personal life has blurred. Social issues such as a global pandemic, racism, and economic turmoil are taking a heavy psychological toll on us. More than 80% of people believe the future is a significant source of stress. Organizations must support employees and help them cope in times of crisis.

But how can you promote courageous conversations?

Research shows that even those who are naturally more inclined to share ideas and offer suggestions may not do so if they fear being put down or punished. On the flip side, encouraging and rewarding speaking up can help more people to do so, even if they're more risk-averse.

The practice of establishing ground rules for conversations is crucial to promote diversity of thought and collaboration. Speaking up, being candid, challenging other people's ideas while being respectful and constructive are foundational for innovation and growth.

That's where Psychological Safety comes into play.

The problem is that most articles offer vague advice, but fail to provide concrete methods and tools to put into practice right away. In this article, you'll find 9 actionable exercises to start promoting psychological safety in your organization (additional resources at the end).

1. Facilitate a Check-In Round to Promote Psychological Safety

The mindset that a team brings to a meeting will shape the outcome. You can't expect people to put their emotions aside; addressing them will help people feel safe and focused. As meetings expert, Emily Axelrod, wrote, "How you enter a space and how you leave a space is as important as what happens in the space."

A check-in round is more than a warm-up exercise; it's an intentional practice to open a session and increase self and team awareness. A facilitator invites each member to share what (mindset) they're bringing to the table before the work conversation starts - one at a time.

Checking-in is about addressing the status of your mind, not that of a project. This practice allows people to be fully present and feel listened to. It reinforces collective trust, gives everyone a voice, and reminds us that we're human.

There are as many check-in questions as teams on earth. Here are a few that are simple and effective:
What has got your attention? What mindset are you bringing to this meeting? What kind of a day have you had so far?
Facilitating a check-in round is an easy way to start building psychological safety. However, doing it right requires time and practice. At first, people might find it childish or a waste of time; most people will share something just to get out of the spotlight. In time, people will start opening up and realize the power of sharing.

Read this post to learn more about how to facilitate a check-in round.

2. How to Promote Psychological Safety with Conversational Turn-Taking

In most organizations, 80% of the conversations are dominated by only 20% of the participants. Psychological Safety is not just about helping people feel safe, but encouraging participation - all voices must be heard.

Women, minority groups, and introverts who choose to stay silent at work rather than run the risk of unfair criticism and judgment aren't just being afraid. They're being silenced by louder people.

Research by Adam Grant shows that it is much more difficult for women to earn recognition than it is for men. By analyzing different companies, the organizational psychologist found that when male employees introduce an idea to increase revenue, they get significantly higher performance reviews than women who contributed equally valuable insights.

Conversational turn-taking is a useful practice to ensure that everyone gets their air time. Most importantly, you want to give more room to the quiet voices over the louder ones.

Australian tech unicorn Atlassian practices conversational turn-taking to ensure even participation among all team members. When participants speak one-at-a-time in alternating turns, you can avoid interruptions and groupthink.

Senior executives get to talk last, so they don't influence or intimidate others. As Simon Sinek said, "Leader always eat last."

3. The No-Interruptions Rule

What's the point of inviting someone to a meeting only to have every idea silenced by someone more extroverted?

Making space for different kinds of people, voices, and ideas is crucial for the success of any business. For a person who's continually being interrupted, meetings quickly become a painful experience. The lack of psychological safety makes people feel anxious and choose to stay silent.

The "No-Interruptions Rules" is self-explanatory: when someone is talking, the rest should actively listen. Sharing an opinion, reacting to what the person is saying, or trying to impose one's ideas over others is not allowed. Make room for people to speak freely and feel valued.

Interrupt people when they interrupt others.

Atlassian encourages employees to call out someone who is being silenced inadvertently in a meeting. People should be firm but fair. Aubrey Blanche, Atlassian's Global Head of Diversity & Belonging, suggests using a phrase such as, "Hold on, Bob - I want to make sure I understand Jessica's point before moving on."

The no-interruptions rule quickly improves the quality of the meeting experience. People feel safe and protected by a system that ensures every voice is welcome and valued.

Talk to repeat offenders to ensure they can adjust their behavior in future meetings.

4. Uncover the Stinky Fish (Before it Rots)

The stinky fish canvas is a metaphor for issues that we don't want to talk about. The longer we avoid a problem, the stinker it gets.

The "Uncover the Stinky Fish" canvas is a visual tool for people to expose what makes them feel anxious and afraid. It helps people address past issues they can't get over and, most importantly, talk about what everybody's thinking, but no one is saying.

Facilitating this exercise is simple - but challenging, too. People feel encouraged to fill the canvas with all the issues that keep them awake at night. However, sharing those issues in the open requires building a psychologically safe space to address all stinky fishes, not just the easy ones.

When facilitating this exercise virtually, I like to ask each participant to share one post-it; it doesn't matter from which of the four quadrants or if they decide to choose an easy topic or a hard issue.

For me, the most crucial factor is to get people talking; to get the conversation started. You can then have a second or third round inviting everyone to share another post-it from their Stinky Fish. Usually, people begin to feel more comfortable and address more sensitive topics.

Another way to build psychological safety while facilitating the Stinky Fish Canvas is by using the 1-2-4-All approach (I explain that below).

To download the Uncover the Stinky Fish Canvas and read the full-facilitation guide, visit this post.

5. Host an Anxiety Party (An Effective Exercise to Promote Psychological Safety)

Don't get caught up with the name; anxiety parties are an excellent way to promote psychological safety -- they make teams more vulnerable and effective.

A design team at Google Ventures first came up with this idea. They maintained a relatively flat structure, enjoyed the benefits of freedom and autonomy, yet missed getting critical feedback. Something was missing.

Exploring different options, Daniel Burka realized that what they really needed was, "a structured time where we could be vulnerable and get our anxieties out in the open." So, they decided to throw an Anxiety Party.

First, everyone spends 10 minutes individually writing down their biggest anxieties (you can use the Uncover the Stinky Fish Canvas for this). Then, people are given two minutes to rank issues-from most to least worrying.

Next, each person gets to share the anxiety that worries them the most. Colleagues score the issue based on how much it troubles them from a zero ("It never even occurred to me that this was an issue") to five ("I strongly believe you need to improve in this area").

After reviewing all fundamental anxieties, it turns out that most are baseless--we usually worry about pointless things. Getting people's feedback in the form of a score makes the anxiety go away.

Many anxieties can be well-founded, though. Start by addressing the issues that get a 4 or a 5. Discuss with the team what needs to happen and whether it requires an individual or collective behavioral changes.

The Google Venture have turned Anxiety Parties into a regular event; they host them twice a year.

I've facilitated many with my clients and can tell you they are a great way to promote psychological safety in a team. Realizing that one might worry about something that means nothing for the team is really liberating. On the other hand, it makes people comfortable with getting feedback and fixing well-founded anxieties.

6. Gradually Open the Conversation: 1-2-4-All

People feel more comfortable talking to strangers or one single person than to a larger group. Brainstorming sessions or large meetings can be intimidating for most; people don't feel psychologically safe to speak up and share their ideas in the open.

The 1-2-4-All method is part of Liberating Structures, a compilation of over 30 microstructures for facilitating meetings and conversations developed by Keith McCandless and Henri Lipmanowicz.

This method is ideal for encouraging participation in problem-solving or feedback sessions. It helps with open and candid conversation by making people feel safe to share gradually.

People start working on their own and, then, gradually share their thoughts with more people until the whole group works together as one.

Though this tool was mainly designed for brainstorming, I use it as a much for team building and feedback sessions, too. For example, it works very well when facilitating the Stinky Fish Canvas or an Anxiety Party.

Follow this sequence. Allow people to work on their own (the duration depends on which exercise you are facilitating). Then, pair up people and give each duo 2 minutes to share individual ideas. Next, give them 2-3 minutes to discuss and find surprises, contradictions, and commonalities. They should also use this time to build on each other's ideas.

Rinse and repeat. Duos pair up, forming foursomes, and each group of four has 4 minutes to share and continue building on each other's ideas. Finally, each team shares their critical thoughts, which are consolidated. Depending on their nature, people can rank the most pressing issues or vote on the best ideas if it's a brainstorming session.

The progression is what gives this Liberating Structure its name: 1-2-4-All. Read more about this exercise here.

Note: When working with large groups, I like to add an additional round. I practice 1-2-4-8-All.

7. Promote Psychological Safety to Address Silent Problems

We can only solve the problem that we talk about. Avoiding issues won't make them go away; they will actually come back to hunt us. Freud referred to denial as "the state of knowing but not knowing."

Denial is a cultural thing. When leaders avoid conflict, their team will adopt the same pattern. Silencing issues quickly becomes an unwritten company rule.

Hold a meeting and invite your team to address silent problems.

First, name the problem. Ask people to list all the issues that are being avoided, or people don't want to talk about, or are taboo. Remind them that, as a team, they can only solve the problems that are made explicit.

Naming the problem turns it from silent to real.

Second, share accountability. Address the root cause of that problem. Rather than finding a single person who's causing it or should fix it, turn the issue into a collective matter.
What are the things that we ARE doing to perpetuate this problem? What are the things that we are NOT doing to perpetuate this problem? What shall we start and stop doing to solve this issue?
Destigmatize problems: most organizations associate problems with weaknesses. However, denial is the real sign of being weak - it requires courage to address problems rather than avoid them. It requires us to acknowledge that we don't have all the answers. As Brené Brown said, "Vulnerability is our most accurate measurement of courage

Have someone play the devil's advocate role - groupthink and the desire for consensus blind people. It's vital to have a team member who always challenges our perspective.

Promote a culture that addresses cultural tensions in a healthy and regular way. Positive friction creates energy that propels teams into the future.

8. Celebrate the Messenger

Creating a climate in which people are comfortable expressing and being themselves is just one side of the Psychological Safety coin. The other side is how managers react to people when they share their ideas, concerns, and mistakes. We must learn to embrace the messenger, as Amy Edmondson, author of The Fearless Organization, recommends.

Being candid is not just about speaking the truth; it also involves delivering bad news. So, how do we overcome a culture that immediately wants to kill the messenger?

Organizations need to increase their bad news tolerance. Divergent, dissident voices are crucial to driving innovation and growth. However, as the authors of this HBR piece wrote, "Yet some leaders demonize the people, accusing them of being the problem instead of solving the problem that is being raised."

The Chinese doctor who tried to issue the first warning about the deadly coronavirus was fired. A US Navy Captain was let go for addressing the COVID-19 outbreak in his ship. Hospitals have put doctors on notice for speaking out about a lack of medical gear.

When someone steps forward with bad news, leaders must show appreciation and respect. Don't kill the messenger because you don't like the news; be thankful because they are bringing valuable information. As OpenTable former's CEO, Christa Quarles, said, "No amount of ugly truth scares me. It's just information to make a decision."

The same way that some organizations have turned celebrating mistakes into a ritual, practice celebrating the messenger. Reward people who bear bad or not-so-good news to raise problems that need to be addressed right away.
Do you have an ongoing space to address bad news? How do you encourage people to raise difficult topics? How will you reward those who speak up?
Celebrate the messenger instead of demonizing those who bring issues forward.

9. Promote Psychological Safety by Sharing Personal Stories

Empathy is crucial to building trust. The more we get to know and understand our colleagues, the more we can trust each other.

Belonging - the idea that we are close - is one of the three characteristics of successful teams, altogether with Psychological Safety (We feel safe) and Alignment (We share a future).

Stories are the perfect way to increase a sense of belonging and start building psychological safety among teams. The purpose of this exercise is to get to know your colleagues at a deeper level, understand their feelings and emotions, and share the stories that shaped their lives.

It never fails to amaze me how much people don't know about their colleagues and how sharing personal stories deepens relationships.

There are many ways you can do this.

One is to ask people to share personal stories with each other. Give them 5-10 minutes each and then switch. Once all the groups have finished, each person needs to tell the story they heard in the first person as if it was theirs. Not only does this reinforce belonging, but it deepens empathy, too.

You can also use the 36 Questions that turn strangers into friends. This requires more time; to go through all questions might take between one and two hours, but it's worth the experience. For team retreats, I usually run shorter versions (each person answers 5 questions) which serves the purpose of revealing secrets and strengthening bonding.

Another more straightforward way is to ask people to "share a meaningful story; something that happened to you that you feel proud about, but very few people know." The key lies in the words "feel proud" and "very few know"--they help trigger profound and revealing stories.

Increasing a sense of belonging strengthens not only interpersonal relationships, but also promotes psychological safety among teams. Encourage your team to have more personal conversations. Start by sharing meaningful stories.

Want to promote psychological safety in your organization?

Reach out and let's discuss how we can help

Join our Psychological Safety online workshop

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The Psychological Safety Ladder Canvas - a framework and tool to map, assess, and improve psychological safety in remote teams.
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