AI and Machine Learning Use Cases for Your Organization

Artificial intelligence and machine learning are entering the mainstream. From efforts to beat masters at strategy games like chess and Go, to the projects that aim to build self-driving cars, these technologies are here to stay and advancing at a faster clip than ever before, both in terms of their capabilities and in terms of cultural awareness.

That's why we are putting the focus on AI and machine learning in our upcoming AllAnalytics Academy. This series of five webinars, June 6, 7, 13, 14, and 15, will drill down into particular topic areas around these technologies to help you prepare yourself and your organization for the rise of artificial intelligence and machine learning.

The series begins on Tuesday, June 6, at 2 pm ET/11 am PT with a focus on use cases. It can be inspiring and encouraging to see the technologies you are investigating put to work in other organizations. When it comes to AI and machine learning, the possibilities are many and grow every day. Here are just a few of the potential use cases for AI and machine learning that we've seen over the last few years:

Cybersecurity. Cyberattacks today can cost companies millions of dollars in fines and settlements with consumers, and can even cost top executives their jobs. Remember the Target breach a few years ago? Machine learning may be able to help. Networks generate huge volumes of log data. Machine learning excels at recognizing patterns in huge volumes of data. Therefore, this technology is well suited to detect anomalies in those patterns as a way to detect attacks and threats.

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Credit fraud detection. The same sort of pattern and deviation technology can be applied to detecting fraud in financial settings. Machine learning can look for patterns and detect subtle changes to behavior. That's why you may get a phone call from your credit card company alerting you of a potential security problem before you even see those charges from a trip you didn't take on your card statement.

Diagnosing health issues. Healthcare organizations are testing the ability of machine learning systems and AI to identify cancer and other life-threatening conditions in medical imaging such as mammograms. The idea is that these technologies can look at many more such scans than human doctors can to diagnose problems sooner so they can be treated sooner.

Alex Vayner, Capgemini

Alex Vayner, Capgemini

Creating personalized marketing. Marketers have been adopting advanced analytics technologies at a rapid rate, which is why you may see the same advertisements follow you at every web site you visit. This type of technology enables marketers to craft and send the most effective message to you.

Recommendation engines. From Amazon to Netflix, companies are paying attention to the things you like so that they can recommend more similar things to you.

These are just a few of many many use cases for machine learning and AI.

Capgemini's Alex Vayner will take you through some of the possibilities for your organization to explore, such as cognitive computing, digital assistants, robots, advanced predictive analytics, and recommendation engines. These use cases and others, employed across both business and consumer realms, are at the forefront of the coming AI and machine learning wave. We invite you to register for our first Academy session to learn more.

Jessica Davis, Senior Editor, Enterprise Apps, Informationweek

Jessica Davis has spent a career covering the intersection of business and technology at titles including IDG's Infoworld, Ziff Davis Enterprise's eWeek and Channel Insider, and Penton Technology's MSPmentor. She's passionate about the practical use of business intelligence, predictive analytics, and big data for smarter business and a better world. In her spare time she enjoys playing Minecraft and other video games with her sons. She's also a student and performer of improvisational comedy. Follow her on Twitter: @jessicadavis.

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Re: cases
  • 6/30/2017 11:46:25 PM

I wonder how many companies will take the slow lane and find they've missed the big push. That probably won't be the case considering the amount of data created every day. We shall see!

Re: cases
  • 6/8/2017 7:48:13 AM

The applications for AI and machine learning seemly will be endless. It's just a matter of getting to cost effectiveness and reliability of the particular use it would seem. And maybe picking the "low hanging fruit" to begin the journey whether that might be detecting fraud, health care, or self driving vehicles. It shall be interesting to see where the industry heads.

  • 6/7/2017 10:32:44 AM

The use cases would be most illuminating. We all have quite a lot to learn about machine learning and its applications.