Top Ten Business Relevant Use Cases for AI and Machine Learning

Many business are AI curious but are far from ready to start a project. Most get stuck finding use cases relevant to their business. As a co-founder of KUNGFU.ai, an AI consultancy, I come across many. Though these AI and Machine Learning use cases are industry specific, the application can scale across industry. Here are the top ten most interesting that can make an impact for many types of businesses immediately.

Ten.

Companies like Salesforce and Hubspot are trying predictive lead scoring so we spend time on targets who are ready to buy:

https://www.wordstream.com/blog/ws/2017/07/28/machine-learning-applications

Nine.

Banks are stepping up and offering lines of credit by predicting emergency events that leave you strapped for cash.

https://www.mckinsey.com/industries/high-tech/our-insights/an-executives-guide-to-machine-learning

Eight.

Paypal is using machine learning to observe suspicious activity and prevent fraud.

https://www.infoworld.com/article/2907877/machine-learning/how-paypal-reduces-fraud-with-machine-learning.html

Seven.

Sick of going to the store and leaving empty handed because they ran out something? Me neither because we all shop online to avoid this. Well step back into the light! Now we can predict inventory and transposition demands to ensure that’s no longer an issue.

http://blog.triskelogi.com/using-artificial-intelligence-to-predict-and-forecast-distribution-and-transportation-demands

Six.

Disruptive tech company, Caavo, uses machine vision to see what’s on your TV screen and execute correct commands. APIs you’ve been put on notice.

https://www.theverge.com/2017/2/15/14620510/caavo-tv-streaming-box-machine-vision-ai-gamechanger

Five.

Talent Management is using Natural Language Processing to predict which resumes will lead to successful employees with a high degree of accuracy.

https://www.mckinsey.com/industries/high-tech/our-insights/an-executives-guide-to-machine-learning

Four.

GE is a great example how many industries are using machine learning and IoT sensors to service machines before they fail.

https://medium.com/source-institute/inspired-by-google-ge-is-learning-about-jet-engines-through-ai-3113b0b55247

Three.

Insurance companies are using AI to predict which customers driving behavior will lead to accidents to adjust premiums.

https://medium.com/source-institute/inspired-by-google-ge-is-learning-about-jet-engines-through-ai-3113b0b55247

Two.

Stitch Fix augments design consultants with machine learning to better curate clothing recommendations.

https://services.hbsp.harvard.edu/services/proxy/content/71648441/71680473/f233fddff886fcc5f84928fde1a32546

One.

Universities are using student data and machine learning to anticipate which students need emergency financial assistance to reduce the dropout rate.

https://er.educause.edu/articles/2017/12/machine-learning-and-higher-education