AI use cases:Transforming industries and customer experience

The rapid integration of artificial intelligence into everyday business and personal usage has triggered a myriad of AI use cases thanks to factors, such as the explosion of data and growth of cloud computing. 

As a result, AI’s versatility allows it to be applied across various industries, such as healthcare, finance, manufacturing, legal, transportation and education, according to Sudheesh Subhash (pictured, right), vice president of innovation and emerging technology at ePlus Inc.

“AI has been very rapid for the past 12 months,” Subhash said. “From a healthcare perspective, it’s mostly medical imaging analysis. From a finance perspective, fraud deduction, sentiment analysis and portfolio management. In manufacturing, mostly computer revision use cases and building predictive maintenance. There is a lot of interest from legal use cases, mostly around legal research, contract management lifecycle and whatnot. The last one is around education, for personal tutoring, automated grading assistance and optimization of their admission process and whatnot, so this is a broad spectrum.” 

Subhash, Saikrishna Kotha (center), senior director of head of infrastructure platforms at PayPal Holdings Inc., and Alexander Heine, head of IT and data platforms and service at Deutsche Bahn AG, spoke with Praveen Jain (left), senior vice president and general manager of AI clusters and cloud ready data center at Juniper Networks Inc., at the Seize the AI Moment event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the exponential growth of AI use cases. (* Disclosure below.)

AI use cases as a stepping stone toward customer centricity

For enhanced client satisfaction, enterprises are taking the AI route to meet specific needs. As a result, most AI use cases are geared toward enhancing security, customization and personalization, according to Kotha.

“At PayPal, we’ve been using AI/ML for a while now,” he said. “It powers our risk and fraud protection. The best way for me to explain the use cases and how they fit in the profile, this is a security and data strategy at the center of everything we do. Incident response and incident handling, how you can reduce mean time to recovery. We recently introduced a PayPal assist chatbot.”

The transportation industry is not being left behind when it comes to jumping on the AI bandwagon. This is because this cutting-edge technology is being deployed to maximize traffic management and fully automate the driving of trains, according to Heine. 

“We use AI for capacity traffic management optimization, so recalculating the best way that a train can go with all restrictions, for example, weather incidents or different kinds of requirements of a track,” he said. “Not every train can go to the special tracks, for this use case we use reinforcement learning to find new ways. Our main vision is to have a fully automated driving train that detects the environment by themselves and reacts in the right way.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the Seize the AI Moment event: 

Here’s the complete event video playlist:

https://www.youtube.com/watch?v=videoseries

(* Disclosure: TheCUBE is a paid media partner for the Seize the AI Moment event. Neither Juniper Networks Inc., the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE