# data[].attributes.body
Provide links to at least 8 of your sources thus far.

The sources do not have to be in MLA.

Links should be active

Scholarly source links should be the DOI or permalink

May be a mix of scholarly and popular

# data[].attributes.body
Text should be concise yet specific and detailed enough to understand your thought process

Clearly convey the connections you have derived between the sources thus far

Nodes should move from general to more specific showing relationships between ideas

Add representative imagery, color code, and organize to show hierarchy, and relationship between ideas

Use in-text parenthetical citation e.g. (Schmidt) where appropriate

Include your research question

# data[].attributes.body
This article discusses how AI is transforming various aspects of the financial services industry, including fraud detection, customer service, and investment strategies. It highlights how students can learn and leverage these AI applications in their finance studies

# data[].attributes.body
Offers actionable advice for students to manage their finances effectively while in college

# data[].attributes.attachment_link.readable_text
Lead Editor, Growth Projects

Getty Creative

If you're reading this, you're likely a new college student whose parents sent you this article.

But before you roll your eyes and go back to scrolling on Instagram, consider this: What if you could do a few things now to make your financial life easier for the years to come?

Your college years are one of the most pivotal moments of your financial journey. Most of the time, you have a clean slate-few financial obligations, little-to-no debt and the opportunity to start on the right foot.

I didn't make the most of it. But right now, you have your chance.

Why Should You Care About Money While in College?

Before you write me off as another keyboard warrior in the personal finance sphere, let me tell you a secret: I was in your position a few years ago, and I've made (almost) every financial faux pas imaginable.

I've maxed out credit cards, overdrawn bank accounts, absolutely wrecked my credit score, signed leases to apartments I could barely afford, and at one point, worked three jobs but had no emergency savings. I think the only mistake I haven't made is withdrawing from my 401(k) early.

Here are a few things I wish I knew about money when I was a college student. (I promise none of these tips involve cutting lattes out of your routine.)

Be Smart About Your Student Loan Refund

Student loans are becoming necessary to finance your higher education; more than 43 million borrowers collectively hold $1.73 trillion in student loan debt. If you're joining that crowd, you might be betting on getting a refund check for the leftover amount after your school pays your tuition and fees.

Before you say, "A free check for $3,000? Sign me up!" two things: That's not free money, and you need to think long and hard about what you're going to do with it.

I spent my first student loan refund check on clothes and a plane ticket to Africa. Don't be like me.

Traditional personal finance advice will tell you to send the refund back to your loan servicer so you're not borrowing more than you need. If your parents are financially supporting you while you're in school, it's true it would be wise to put that amount toward your overall balance now to pay off your loans faster and save you money on interest.

But if you're supporting yourself while attending college, you may want to tuck that money away in a savings account where it's easily accessible. Having a bit of a cushion can be beneficial during the school year, especially if things don't go according to plan with your side gig or part-time work.

Federal direct subsidized and unsubsidized federal student loans (usually what undergraduate students take out) currently have a 3.73% interest rate. That's way lower than what you'd be paying by living off credit each month, considering some credit card interest rates can be as high as 25%.

That student loan money technically isn't yours-but in an emergency, it'll cost you less to use it than swiping a credit card.

If you depend on your loan refund to completely cover your living expenses, you need to make a realistic budget for how much of it you'll spend each month. Trust me, you can't just "keep track" of it all in your head.

A simple spreadsheet that itemizes your expenses-from rent and utilities to "fun" money for social events-is adequate enough. If you're anti-spreadsheet, check out our picks for the best budgeting apps.

Get a Credit Card-But Use It Wisely

Now that you're transitioning into adulthood, you need a credit card. Not because you need something to dine with friends (leave it at home!), but because you need to start building your credit history and score.

If you're not familiar with credit scores, here's a quick synopsis: Your score is a number between 300 and 850 that lenders look at to determine how risky or responsible of a borrower you are when you apply for a credit card or loan. Multiple factors go into a credit score, including payment history, amounts owed, length of credit history, new credit and credit mix.
Read more: What Makes Up Your Credit Score
Having a credit history-and a healthy score-can increase your eligibility for credit cards, auto loans, a mortgage, and even a job.

"I have had multiple graduates tell me about the job they had been offered, only to have the offer retracted once the employer checked their credit score," says Sonya Lutter, certified financial planner and director of institutional research and education at Herbers & Company. "In each case it wasn't that the student had bad credit; rather, they had no credit history."

Opening a credit card is your first step to building your credit. But using it responsibly is how you'll prevent racking up debt and causing your credit score to tank right out of the gate.

Lutter recommends putting normal expenses, like gas or textbooks, on the card and paying the balance in full immediately. Doing so will allow you to start building credit history with an expense you were already going to have, rather than racking up a balance on food or entertainment expenses over the month and struggling to pay it off after.

There are plenty of card options for college students. Aim to open one with no annual fees, but that offers a rewards feature, such as cash back on purchases. You can find our top picks for student credit cards here.

Stay Away From Memestocks

Fintech apps have made day-trading stocks easier than ever. But just because it's easy and you might know people your age participating, it doesn't mean you should start chasing after memestocks on apps like Robinhood (remember the GameStop saga?).

You do not want to invest your financial aid refund check-or rent money, or savings-into memestocks, or even into long-term investments. Before you even think about dipping your toes into the stock market, you should be squared away to pay your living expenses, have an emergency fund and a plan for debt repayment, says Lutter.

If you have those bases covered, it could make sense to start investing-but usually not in short-term allocations.

"College students have a long time horizon and I believe it is critical for them to use that to their advantage," says Nick Rostykus, a certified financial planner and private wealth advisor at WealthSource. "It's hard to stay invested when everyone else is trading on today's headline news, but that's when you are rewarded the most."

Long-term investing means you've come up with a solid investment plan and have selected diverse asset allocations. Have no idea what any of that means? Read this guide and then contact a financial advisor before you start dumping money into an index fund.

All investing comes with risk-if you're not comfortable with losing your entire investment, that's a good sign you're not quite ready yet to dip into the stock market.

Beware of School-Sponsored Bank Accounts

If your university has an on-campus bank, you might be considering signing up. But you might want to think twice before doing so. University-sponsored bank accounts have garnered attention in recent years due to their high fees.

In 2016, the Consumer Financial Protection Bureau (CFPB) found many of these institutions had features that "lead students to rack up hundreds of dollars in fees per year." One of the largest was overdraft fees, which is an additional payment charge that occurs when more money is spent than you have available in your account.

The analysis also found that these accounts offered few financial benefits for students-but produced big profits for the banks. There has been some improvement since then, but some banks are still preying on college students.

Instead, find a banking institution that's fee-free. The best student checking accounts (not associated with a school, but rather offered to students through a bank or credit union) often come with a low or no minimum-deposit amount. Some even offer cash back or the opportunity to earn interest on your balance.
Read more: Best Student Checking Accounts Of September 2021
This is the Beginning of Your Financial Journey-It's Not a Race

The above tips will make you look good on paper. But I think the biggest-kept secret about personal finance that a lot of people don't know is this: Building a solid financial life is a marathon, not a race.

That means you're not going to stay on budget every single month. You're not going to become a millionaire overnight (sorry). And you're going to have setbacks. A lot of setbacks.

The best thing you can do is continue to arm yourself with knowledge to adapt to any financial situation you come across. The strong foundation you build now will give you the stability you need to tackle your finances for the rest of your life.

# data[].attributes.attachment_link.title
How New College Students Can Set Themselves Up For Financial Success

# data[].attributes.attachment_link.description
If you're reading this, you're likely a new college student whose parents sent you this article. But before you roll your eyes and go back to scrolling on Instagram, consider this: What if you could do a few things now to make your financial life easier for the years to come?

# data[].attributes.body
Provides an introduction to AI and machine learning in finance, explaining key concepts and applications such as algorithmic trading, credit scoring, and risk management. It also offers advice for students on how to get started with AI in finance.

# data[].attributes.attachment_link.readable_text
I've talked to several CFOs recently about AI, and a prevailing theme has emerged from our conversations. We all know there is great interest in the promise of AI. Now it's time to put that promise into action, and finance leaders are searching for the best AI use cases to deliver near- and long-term value.

Leveraging AI In finance-move from theory to practice
getty

Last year, I encouraged CFOs to get curious about generative AI (GenAI) technologies. It is now time to shift that focus to higher-impact and practical GenAI (and other AI) use cases while rethinking widely held GenAI assumptions related to governance, tools and talent. And CFOs are starting to act.

My firm's latest global survey of CFOs and finance leaders shows that the two most prevalent uses of GenAI by finance groups involve 1) compliance and regulatory reporting, and 2) risk assessment and risk management. Our experience also shows that two other uses of GenAI-throughout the order-to-cash cycle and in expense management initiatives-are delivering lucrative returns over the long term.

Compliance and risk management use cases

There is a reason why GenAI is gaining some traction in compliance and risk management. Simply stated, the benefits of deploying AI tools to strengthen these activities are proving to be well worth the investment.

For example, finance groups are currently deploying GenAI tools to complete standard compliance forms and bolster fraud detection and protection. AI's ability to scrutinize vast data sets and then identify anomalies and predict trends gives finance groups, compliance teams, and data privacy and security groups an opportunity to get a jump on fraudulent activity. Predictive detection helps retailers reduce shrinkage and bolster loss prevention efforts. Insurers leverage AI to respond quickly to suspicious variations in claim patterns. CISOs can spot privacy breaches as they occur, and companies in cyclical industries use AI to detect and address peculiar purchasing patterns.

The value of these applications resides in the speed and precision of anomaly detection. For example, from a risk management and resilience perspective, consider the advantages of being able to respond to a data privacy lapse within hours as opposed to a month or two after the breach occurs and the damage has spread.

Two practical finance use cases to prioritize

In addition to compliance and risk management, AI's predictive capabilities can pinpoint valuable opportunities to grow revenue, enhance the customer experience (and customer value), improve profitability via cost optimization and enhance communications with the board and analysts. Here are just some of the activities we're seeing in the market that are driving improved performance and value.

1. Budgeting, forecasting and cash flow management

AI can improve a range of forecasting activities throughout the order-to-cash cycle to deliver major cash flow management improvements. Feeding preliminary sales data into an AI application enables it to analyze patterns to produce long-term revenue projections that finance and sales teams can use to adjust revenue assurance activities. On the demand side, finance groups and operations partners can leverage AI to alert trading partners about current and (likely future) fluctuations in sales volumes, enabling suppliers to adjust their production and ordering proactively. AI-driven sensitivity analyses can help finance assess interest rate changes, supply chain obstructions and other external wildcards that affect profitability, including the cost of goods sold.

In addition to those revenue and cost-predictive AI driven and developed data points, some of the more impressive uses of AI equip finance groups with a deeper understanding of customer behaviors-insights that help drive order-to-cash transformation and improve cash flow. By leveraging AI to understand payment behaviors (e.g., when and how customers pay), finance and accounting teams can adjust customer onboarding processes, collection efforts and other accounts receivable activities to increase cash flow. Such AI-driven analyses also shed new light on customer value (i.e., who qualifies as a truly valuable customer), which can lead to more profitable customer segmentation and retention activities. And companies can adjust their own payment timing accordingly to align inbound and outbound cash flows.

2. Expense management and cost optimization

When organizations leverage AI to scrutinize expenses, they have the opportunity to enhance third-party spending, sourcing management, IT rationalization and other targets of cost optimization. Do you want to reduce operating costs by 10%? AI-driven tools can run profitability analyses that diagnose which areas are best suited for cost reductions, such as those goods the enterprise is procuring six different ways at 10 different price points. The AI solution could even assist finance in presenting the data using appropriate visualization techniques.

Everyone agrees that data-informed decisions are often the best decisions and that insightful data can enable anticipatory behavior. What's key with AI models is that they can advance the analytics that can be used to facilitate decisions and preparedness. The limitless possibilities encourage experimentation by empowered individuals. For example, McKinsey suggests uploading publicly available earnings call transcripts from competitors and prompting the AI tool to list the five most-frequently-asked questions and to suggest responses. The company's and its competitors' financials could also be uploaded and the GenAI solution could be prompted to apply the perspective of an activist investor to address questions regarding aspects of the company's performance that would catch an activist's attention.

Try out ideas like these and the value of GenAI becomes clearer.

Other aspects of AI to reconsider

As CFOs evaluate where they can apply AI next to derive measurable and meaningful value, they should also take a fresh look at:

Tools: In today's well-funded AI and GenAI marketplace, seemingly countless vendors are selling new and enhanced tools and capabilities. But finance leaders should first consider their existing systems and applications. ERP vendors have added ample AI functionalities to their solutions over the past 18 months, as have sellers of stand-alone applications that exist within ERP ecosystems.

Governance: Many, if not most, organizations are still struggling to establish clear governance and guidelines for using AI. Defining appropriate governance for an AI solution is critical. Steps should include creating an AI advisory board; identifying potential use cases, the expected value delivered and potential risks; aligning the organization's existing governance framework, policies, standards and controls to the selected use cases; ensuring that the company's IP is protected; and educating users.

Return on investment: Addressing and monitoring the ROI on GenAI and AI use cases requires a nuanced approach. The short-term returns on these pilots may be negligible, yet longer-term payoffs can be substantial. While finance should certainly not "do AI for AI's sake," business cases should look beyond short-term gains to address how these investments support longer-term plans, objectives and performance. Other organizations have deployed AI and rushed to declare victory. A more prudent approach is to monitor the extent to which these efforts achieve defined business outcomes.

Finally, talent also requires a fresh perspective. Conventional wisdom holds that organizations have to invest in data scientists and GenAI experts in order to get into the AI game. That's often not the case when it comes to finance-driven AI initiatives. Your organization may have more AI expertise than you realize. By having the ability to adapt finance roles to add AI usage and upskill or reskill team members, you can generate positive morale and retention impacts for the finance team's personnel complement. And most of the use cases I've discussed here can be performed using the AI functionality in existing ERP systems, procurement platforms and accounting applications. As long as finance groups have access to cost optimization, risk management, forecasting and budgeting expertise, they can implement practical AI use cases and make noteworthy progress right now on their respective AI journeys.

# data[].attributes.attachment_link.title
Leveraging AI In Finance-Move From Theory To Practice

# data[].attributes.attachment_link.description
It is time to focus on higher-impact and practical AI use cases while rethinking widely held assumptions related to governance, tools and talent.

# data[].attributes.headline
Empowering the Next Generation: Harnessing AI to Transform Careers in Financial Services for Students

# data[].attributes.subject
Empowering the Next Generation: Harnessing AI to Transform Careers in Financial Services for Students

# data[].attributes.body
How AI algorithms detect and prevent fraudulent activities.

# data[].attributes.body
AI models used for assessing creditworthiness

# data[].attributes.body
AI tutors providing on-demand assistance and support

# data[].attributes.body
The integration of AI in the financial industry offers university students a plethora of opportunities to enhance their education and prepare for future careers. By leveraging AI technologies, students can improve their financial literacy, engage in advanced learning and research, gain practical experience in investment and financial planning, and explore diverse career opportunities in an AI-driven finance landscape.

# data[].attributes.body
Introduces students to AI technologies that can aid in their financial education

# data[].attributes.attachment_link.readable_text
In today's fast-paced digital world, financial literacy is more crucial than ever. Yet, many individuals still find themselves intimidated by financial jargon and complex concepts. Enter artificial intelligence (AI) - a powerful tool that can bridge the gap between confusion and clarity in personal finance. This article explores how AI can enhance financial literacy, empowering individuals to make informed financial decisions.

THE RISE OF AI IN PERSONAL FINANCE

AI has made significant strides in various fields, including personal finance. While AI's role in investment advice is still debatable due to the personalized nature of investing, its potential to aid financial education is undeniable. AI tools like ChatGPT can demystify complex financial terms and concepts, making them accessible to everyone.

UNDERSTANDING FINANCIAL CONCEPTS WITH AI

One of the primary barriers to financial literacy is the complex terminology. Terms like " compound interest " and "APR" can be overwhelming to those new to personal finance. AI tools can break down these concepts into simpler terms. For instance, you can ask an AI tool to "explain compound interest at a fifth-grade level," and it will provide an easy-to-understand explanation.

Here's how Microsoft's Copilot responded when I asked it to explain compound interest at a fifth-grade level:

Sure, let's make it simple and fun!

Imagine you have a magic piggy bank. At the end of each year, this piggy bank gives you extra money based on how much is already inside. The more money you have in the piggy bank, the more extra money you get. This is the basic idea of compound interest.

Let's say you start with $10 in your piggy bank. And let's say your piggy bank gives you 10% extra each year. So, at the end of the first year, you get $1 extra (because 10% of $10 is $1), so now you have $11.

Here's where the magic happens. In the second year, the piggy bank gives you 10% not just on your original $10, but on the full $11. So, you get $1.10 extra (because 10% of $11 is $1.10), and now you have $12.10.

Each year, the amount of extra money you get increases because it's based on the total amount in the piggy bank, which includes the extra money from previous years. That's why it's called "compound" interest - the interest is added to the total, and then you earn interest on that new total, and this process repeats year after year.

So, compound interest is like a snowball rolling down a hill. As it rolls, it picks up more snow and gets bigger and bigger. The longer it rolls, the bigger it gets! That's the power of compound interest. It can help your money grow faster over time. Isn't that cool? 😊

Complex concepts are made digestible through simple language and relatable analogies. For example, APR (Annual Percentage Rate) can be confusing, but AI can explain it as the cost of borrowing money on a yearly basis, including interest and fees, like the tax and tip on a dinner bill or the "rent" you pay on the loan. This approach removes the intimidation factor and fosters better understanding. Plus, you can always ask follow-up questions to continue your learning journey.

ENHANCE LEARNING WITH AI

Financial education often traditionally involves reading books, attending seminars, or watching videos. While these are effective, they may not address individual learning paces and styles. AI can complement these methods by providing personalized learning experiences. Users can interact with AI tools, ask questions, and receive instant, customized responses.

AI can also adapt to the user's knowledge level. If a user has a basic understanding of budgeting but struggles with more advanced topics like debt management, the AI can tailor its explanations to build on the user's existing knowledge. This personalized approach ensures that users are neither overwhelmed nor under-challenged.

OVERCOMING THE FEAR OF ASKING QUESTIONS

Many people hesitate to ask questions about finances for fear of sounding uneducated. This fear can hinder learning and lead to poor financial decisions. AI tools can eliminate this barrier by providing a judgment-free environment. You can ask AI any question, no matter how basic, and receive a clear, non-judgmental answer.

This feature is particularly beneficial in educational settings. Financial educators can integrate AI tools into their teaching methods, encouraging students to engage more freely without the fear of embarrassment. This interactive learning can significantly improve comprehension and retention of financial concepts.

PRACTICAL APPLICATIONS OF AI IN FINANCIAL LITERACY

Budgeting: AI tools can help users create and manage budgets. By inputting income and expenses, users can receive tailored advice on how to allocate funds effectively. For example, AI can suggest saving strategies or highlight unnecessary expenditures. This hands-on approach to budgeting can transform a daunting task into a manageable one.

Saving: Understanding different saving options is essential for financial growth. AI can explain the pros and cons of various saving vehicles, such as high-yield savings accounts, certificates of deposit (CDs), and money market accounts. This knowledge can empower users to make informed decisions aligned with their financial goals.

Debt Management: Managing debt is a significant aspect of personal finance. AI tools can provide strategies for paying off debt, consolidating loans, and improving credit scores. They can also offer insights into the long-term impact of debt on financial health. For example, AI can simulate different repayment scenarios, helping users understand how changes in their repayment strategy could affect their overall debt and interest payments.

See our rates

AI TOOLS FOR FINANCIAL LITERACY

Several AI tools can enhance financial literacy:

ChatGPT: This versatile tool can answer a wide range of financial questions. It makes up the underpinnings of Microsoft's Copilot. Users can ask for explanations of complex terms, advice on budgeting, or strategies for saving. Its ability to understand context and provide relevant answers makes it a valuable resource for anyone looking to improve their financial knowledge.

Cleo: A financial assistant that helps users manage their money, track spending, and save more. It provides insights into financial habits and suggests ways to improve them. Cleo's interactive and conversational approach makes financial management engaging and less intimidating.

Gemini: Google's AI chatbot, now rebranded under the Gemini name, offers robust personal finance management features. It can assist with budgeting, saving strategies, and understanding financial concepts through its conversational interface. Gemini's ability to process and analyze large amounts of data enables it to provide tailored financial advice and educational content.

ETHICAL CONSIDERATIONS AND LIMITATIONS

While AI is a powerful tool, it's essential to be aware of its limitations. AI should not replace professional financial advice, especially for complex decisions. Users should use AI as a supplementary resource and consult financial advisors for personalized guidance.

Moreover, data privacy is a significant concern. Users should ensure that the AI tools they use comply with data protection regulations and handle their information responsibly. It's crucial to read privacy policies and understand how your data will be used and stored.

AI tools also rely on the data they have been trained on, which means they might not always have the most up-to-date or comprehensive information. Users should cross-check important financial information and updates from reliable sources to ensure accuracy. AI tools can often "hallucinate," a term used to describe when they make up information but "think" it is correct. This is why it's useful to use AI as a jumping-off-point. Trust but verify, as they say!

CONCLUSION

AI has the potential to revolutionize financial literacy by making complex concepts accessible to everyone. By leveraging AI tools, individuals can enhance their understanding of personal finance, make informed decisions, and achieve financial well-being. As technology continues to evolve, the integration of AI in financial education will undoubtedly become more prevalent, empowering more people to take control of their financial futures.

ADDITIONAL READING

AI and Financial Literacy: How Technology Can Help You Understand Money Better - Financial Times

Does Generative AI Solve the Financial Literacy Problem? - Knowledge at Wharton

How One Nonprofit Is Turning to AI To Help Boost Women's Financial Literacy - CNBC.COM

# data[].attributes.attachment_link.title
Leveraging AI for Financial Literacy: A Comprehensive Guide - VSECU

# data[].attributes.attachment_link.description
In today's fast-paced digital world, financial literacy is more crucial than ever. Yet, many individuals still find themselves intimidated by ... Read more

# data[].attributes.body
Highlights various AI-powered tools that help students improve their financial literacy, including apps and platforms that offer personalized financial advice, budgeting help, and investment simulations.

# data[].attributes.attachment_link.provider_name
Technology Solutions That Drive Education

# data[].attributes.attachment_link.readable_text
Still, the AI craze has prompted understandable questions at universities among students, faculty members and administrators, all wondering whether generative AI tools like ChatGPT will spur a wave a plagiarism, lead to job loss or otherwise disrupt college life. The answer, unsatisfying as it may be, is that AI might do all of those things, but no one really knows how. And even if they did know how, things could change quickly.

The great thing about AI - and the problem with AI - is that it could impact literally everything, which makes it hard to know where to start.

What Should Higher Education Institutions Do About AI?

There has been a lot of thinking and talking about AI in higher education, but little has been done about it, and that's not necessarily a bad thing.

In some sectors, there are obvious applications for AI technology and even generative AI tools. In pharmacology and life sciences, for example, huge amounts of data can be analyzed to make important health-related recommendations and decisions. In the financial services world, crunching numbers more quickly and in a more insightful way than the competition is part of the job. And in retail, where AI chatbots are able to provide more helpful customer service and reduce fraud, their implementation is a no-brainer.

The thing to remember is that the people who fully understand what to do with AI are the outliers. Most of the rest of us, including in higher education, are still figuring this stuff out. Diving too soon into AI implementations could mean being the first to make a mistake, and with personal data at stake and major ethical questions still unresolved, there are few institutions willing to go first. Most are wisely keeping their ear to the ground and hoping to be a fast follower behind someone with less to lose.

That said, it would be a mistake to pretend as though the AI future is not on the horizon. Especially now, with the number of resources and amount of brainpower being devoted to AI, it's a matter of when, not if, college campuses are inundated with AI-powered tools helping with everything from student success to physical security and IT operations.

With that in mind, here are at least two areas where colleges and universities should be laying the groundwork now so they're ready when the future of AI arrives.
RELATED: AI is streamlining university contact center operations.
Pave the Road for Future AI Tools with Infrastructure Upgrades

Higher education institutions will need to have a certain AI footprint in the future, and for most, that footprint is going to require some computing upgrades. Universities doing research likely already need some type of high-performance, GPU-enabled computing, but that computing power may soon be necessary outside of that research.

In addition, current higher education networks are built for moving data in a pre-AI world, and that's not going to cut it going forward. Institutions will need more bandwidth and lower latency on their networks to make AI tools generate the outcomes they want, in a hurry. Network demands will be a barrier to AI implementation for institutions that don't act soon.

There will also be an unprecedented amount of data to manage. AI tools not only need a large pool of data to analyze, but also generate their own data that will need to be stored somewhere, likely in partnership with a cloud provider.

What scale of network and data center upgrades colleges and universities will require depends on the institution and a host of other considerations. At CDW, our Mastering Operational AI Transformation program can help guide institutions in mapping out their AI strategy. Regardless of the institution, assessing a university's networking and storage capabilities - and potential for growth and expansion - is a great first step.

This article is part of EdTech: Focus on Higher Education 's UniversITy blog series.

# data[].attributes.attachment_link.title
Getting Your Higher Education Infrastructure AI-Ready

# data[].attributes.attachment_link.description
Tools powered by artificial intelligence are already flooding the technology market. Here's how to make sure you're ready when those tools arrive.

# data[].attributes.body
This article covers the basics of AI in investment, including robo-advisors, algorithmic trading, and AI-driven market analysis. It provides insights for students on how these technologies are used and how they can gain skills in this area.

# data[].attributes.attachment_link.title
How to Use Artificial Intelligence in Your Investing in 2024

# data[].attributes.attachment_link.description
Get ahead of the curve and follow our guide to learn how to use artificial intelligence in your investing. Utilize automated technology to help your portfolio grow.

# data[].attributes.body
Focuses on how AI tools can assist college students with financial planning, including budgeting apps, expense trackers, and AI-driven financial advisors that offer personalized advice based on spending patterns and financial goals.

# data[].attributes.attachment_link.title
Navigating the Impact of AI on College Students' Future - ANC Consulting

# data[].attributes.attachment_link.description
The age of Artificial Intelligence (AI) is upon us, and with it comes challenges and opportunities for college students. While technology has the power to simplify certain tasks and offer new career prospects, there is also the looming threat of job displacement. This makes it essential for college students to stay informed about AI developments...

# data[].attributes.body
Explains how AI tools can help students conduct financial research more efficiently, from data analysis and visualization to natural language processing tools that help interpret financial reports and news.

# data[].attributes.body
AI apps offering tailored financial advice.

# data[].attributes.body
AI-based robo-advisors providing automated investment advice

# data[].attributes.headline
AI’s Impact on Financial Services Careers

# data[].attributes.subject
AI’s Impact on Financial Services Careers

# data[].attributes.body
Essential skills for a career in AI-driven finance.

# data[].attributes.body
AI-driven investment strategies and portfolio management

# data[].attributes.body
AI tools for identifying and managing financial risks

# data[].attributes.body
Use of AI simulations to teach financial concepts.

# data[].attributes.body
AI tools assisting students in managing their budgets.

# data[].attributes.body
Using AI for analyzing market trends and making predictions

# data[].attributes.body
Various career paths impacted by AI in finance.

# data[].attributes.body
Tools to track and analyze spending habits.

# data[].attributes.body
AI advisors offering personalized financial guidance

# data[].attributes.body
AI for processing and understanding financial reports and news

# data[].attributes.body
AI tools for analyzing financial data.

# data[].attributes.body
AI-powered tools and platforms provide personalized financial advice, budgeting assistance, and investment simulations, helping students develop essential financial skills

# data[].attributes.body
AI applications in education, such as personalized learning platforms, virtual tutors, and simulation-based training, offer customized and interactive learning experiences

# data[].attributes.headline
Practical Investment and Financial Planning

# data[].attributes.subject
Practical Investment and Financial Planning

# data[].attributes.body
AI-powered financial planning apps and expense trackers help students manage their personal finances effectively, setting them up for financial success

# data[].attributes.headline
Career Opportunities in AI-Driven Finance

# data[].attributes.subject
Career Opportunities in AI-Driven Finance

# data[].attributes.body
The financial industry's increasing reliance on AI creates numerous career opportunities in areas like algorithmic trading, credit scoring, risk management, and AI ethics

# data[].attributes.body
Use university's career services, libraries, and academic advisors to access resources and guidance on integrating AI into your finance studies and career planning