The rapid integration of artificial intelligence into on a regular basis business and private usage has triggered a myriad of AI use cases because of aspects, similar to the explosion of knowledge and growth of cloud computing.
In consequence, AI’s versatility allows it to be applied across various industries, similar to healthcare, finance, manufacturing, legal, transportation and education, based on Sudheesh Subhash (pictured, right), vice chairman 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 evaluation. From a finance perspective, fraud deduction, sentiment evaluation and portfolio management. In manufacturing, mostly computer revision use cases and constructing predictive maintenance. There’s a variety of interest from legal use cases, mostly around legal research, contract management lifecycle and whatnot. The last one is around education, for private tutoring, automated grading assistance and optimization of their admission process and whatnot, so it 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 repair at Deutsche Bahn AG, spoke with Praveen Jain (left), senior vice chairman and general manager of AI clusters and cloud ready data center at Juniper Networks Inc., on 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 satisfy specific needs. In consequence, most AI use cases are geared toward enhancing security, customization and personalization, based on Kotha.
“At PayPal, we’ve been using AI/ML for some time now,” he said. “It powers our risk and fraud protection. One of the best ways for me to clarify the use cases and the way they fit within the profile, it is a security and data strategy at the middle of all the pieces we do. Incident response and incident handling, how you’ll be able to reduce mean time to recovery. We recently introduced a PayPal assist chatbot.”
The transportation industry isn’t being left behind relating to jumping on the AI bandwagon. It’s because this cutting-edge technology is being deployed to maximise traffic management and fully automate the driving of trains, based on Heine.
“We use AI for capability traffic management optimization, so recalculating the easiest way that a train can go together with all restrictions, for instance, weather incidents or different kinds of necessities of a track,” he said. “Not every train can go to the special tracks, for this use case we use reinforcement learning to search out latest ways. Our important vision is to have a completely automated driving train that detects the environment by themselves and reacts in the correct way.”
Here’s the entire video interview, a part of SiliconANGLE’s and theCUBE Research’s coverage of the Seize the AI Moment event:
Here’s the entire 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
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