Sumit Gupta is a Vice President in the IBM Cognitive systems business, responsible for offering (product) and business management for High Performance Computing (HPC), AI, and Machine and Deep Learning. With over 20 years of experience, Sumit is a recognized industry expert in the fields of HPC, deep learning, and data analytics. Sumit conceived and leads the development of IBM’s PowerAI deep learning software offering.
Sumit joined IBM in 2015 from NVIDIA, where he was the General Manager for the Tesla GPU accelerator business. He was central in building this startup business within NVIDIA from zero to a several hundred million dollar business and in building its large developer ecosystem and deep learning strategy. Sumit is a product management, marketing, and business leader for enterprise systems and software products. He has previously held positions in marketing, business strategy, and engineering at Tensilica, Tallwood Venture Capital, Intel, S3, and IBM. Sumit has a Ph.D. in Computer Science from the University of California, Irvine, and a Bachelor of Technology in Electrical Engineering from the Indian Institute of Technology, Delhi. He has authored one book, one patent, several book chapters and more than 20 technical publications.
Deep learning-based AI for the Enterprise
From chat bots, to recommendation engines, to Google Voice and Apple Siri, AI has begun to permeate our lives. We will demystify what AI is, present the difference between machine learning and deep learning, why the huge interest now, show some fun use cases and demos, and then discuss use cases of how deep learning based AI methods can be used to garner insights from data for enterprises. We will also talk about what IBM is doing to make deep learning and machine learning more accessible and useful to a broader set of data scientists, and how to build out the right hardware infrastructure.