What purposes are you most excited for AI to be used for?

How artificial intelligence is transforming the world

Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the ...

Work Smarter, Not Harder: 10 Benefits of AI in Your Workplace

As AI continues to minimize time spent on drudgery and routine tasks, employees will be empowered to do more of the work they find exciting and ...

Artificial Intelligence (AI) — Top 3 Pros and Cons - ProCon.org

AI can make everyday life more convenient and enjoyable, improving our health and standard of living. Why sit in a traffic jam when a map app can navigate you ...

Leidos and the University of Edinburgh partner to drive AI and data ...

Charles Newhouse, chief technology officer for Leidos UK & Europe, said, “We are excited to partner with the University of Edinburgh, a leading ...

How AI is Used in Education & 10 Ways You Can Too - ClassPoint

Auto grading is one of the most exciting ways that AI is transforming workload and productivity for teachers. Grading can be a time ...

31 Ways You Can Use AI Today (2024 Guide)

Text and Content Uses for AI in Business and Productivity. Writing and Natural Language tasks are some of the easiest to start with as you learn how to use AI.

HireVue's AI face-scanning algorithm increasingly decides whether ...

A face-scanning algorithm increasingly decides whether you deserve the job. HireVue claims it uses artificial intelligence to decide who's best ...

AI in Life Sciences: Top 5 Use Cases in 2024 - Netguru

One of the lesser publicized, yet very promising areas of AI in life sciences, is the ability to test out potential drug and medical compound ...

AI Examples, Applications & Use Cases - IBM

The IBM team is even using generative AI to create synthetic data to build more robust and trustworthy AI models and to stand in for real-world ...

Automating Data Extraction with AI - PwC

Artificial intelligence (AI) offers ways to perform these complex, integrated tasks far more efficiently. These solutions are seamless and ...

History of artificial intelligence - Wikipedia

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or ...

Generative AI for Enterprises | Deloitte US

The chatbot use case opened the door for thinking more broadly about how Generative AI can be used for tasks, ranging from writing copy to generating 3D ...

8 Reasons Why Python is Good for AI and ML - Django Stars

These examples show that AI and ML are used process loads of data to offer better user experinece, more personal and accurate one. In this ...

How People Are Really Using GenAI - Harvard Business Review

It's telling that the most common use case is idea generation. We naturally think of content (text, images, synthetic data) as the output to ...

How AI and digital help us innovate faster and smarter | Unilever

By optimising our design and manufacturing processes through virtual simulations, automated workflows and data-led decision making, we're ...

What Jobs Will AI Replace? | Built In

AI trading technologies can also predict market trends while remaining more accurate than human workers. These two factors combined with the fact that AI lowers ...

11 Best AI Advertising Examples of 2024 - DataFeedWatch

Use quality data so AI can offer an unbiased voice of reason. Test ... most beneficial bid depending on the ROI goal you chose. This ...

28 Best Quotes About Artificial Intelligence | Bernard Marr

So instead of artificial intelligence, I think we'll augment our intelligence.” —Ginni Rometty. “I'm more frightened than interested by artificial intelligence ...

AI is dreaming up drugs that no one has ever seen. Now we've got to ...

Today, on average, it takes more than 10 years and billions of dollars to develop a new drug. The vision is to use AI to make drug discovery ...

The Top 6 Use Cases for GenAI - Pecan AI

For example, generative AI can generate synthetic data that augments existing datasets, enabling more accurate and diverse predictions.