Ubiquitous computing has caused an avalanche of data that goes beyond human processing capabilities. AI technologies have emerged as the only viable way to turn this data into information. As more computing produces more data, more computing power is needed to power AI. Next-generation AI will soon be looking for computer systems on a planetary scale to further power the computational requirements of AI. We will examine some of the technologies, such as neuromorphic and quantum computing, that will unlock the next step in performance that is intractable with today’s computer systems.
About the speaker
Arun Subramaniyan, Vice President, Cloud & AI, Strategy & Execution, Intel Corporation
Arun Subramaniyan joined Intel to lead the Cloud & AI strategy team. Arun joined Intel from AWS, where he led the global team of solutions for machine learning, quantum computing, high-performance computing (HPC), autonomous vehicles, and autonomous computing at AWS. . His team was responsible for developing solutions in all areas of HPC, quantum computing, and large-scale machine learning applications, covering a portfolio of $ 1.5 million or more. Arun founded and grew the global equipment for marketing and standalone computing and quantum computing solutions at AWS and grew the business 2-3 times.
Arun’s main areas of research are Bayesian methods, global optimization, probabilistic deep learning for large-scale applications, and distributed computing. He enjoys working at the intersection of parallel mass computing and large-scale system modeling. Prior to AWS, Arun founded and led AI’s product team in GE’s oil and gas division and successfully grew the digital products business. He and his team developed augmented learning hybrid analytics for all segments of the oil and gas industry. Arun led the development of the Digital Twin Platform for GE at GE’s Global Research Center. The platform continues to enable several thousand engineers to build advanced models efficiently. Asset-specific accumulated damage modeling techniques that he and his team pioneered set the standard for industrial damage modeling.
As a Six Sigma Master Black Belt, he developed advanced techniques and tools to efficiently model large-scale systems such as jet engine fleets, gas turbines in power plants, and 3-4X accelerated design times. Arun is a prolific researcher with a PhD. in Purdue University Aerospace Engineering with 19 patents granted (54 filed) and more than 50 international publications that have been cited more than 1000 times with an h index of 13. He has also received the GE Hull Award, which recognizes technologists for its exceptional technical impact.
Elizabeth Bramson-Boudreau, CEO and Editor, MIT Technology Review
Elizabeth Bramson-Boudreau is the managing director and editor of MIT Technology Review, the independent media firm of the Massachusetts Institute of Technology.
Since Elizabeth took over as head of MIT Technology Review in mid-2017, the business has undergone a massive transformation from its previous position as a respected but niche print magazine to a widely read cross-platform media brand with a global audience and a sustainable business. . Under his leadership, MIT Technology Review has been praised for its editorial authority, best-in-class events, and new use of independent, original research to support both advertisers and readers.
Elizabeth has 20 years of experience in creating and managing teams in world-leading media companies. It maintains a strong focus on new ways to market multimedia content to attract demanding and demanding consumers as well as the B2B audience.
Prior to joining the MIT Technology Review, Elizabeth held a senior executive position at The Economist Group, where her leadership extended across different lines of business and included mergers and acquisitions; editorial and product creation and modernization; sales; marketing; and events. Early in her career, she worked as a consultant advising technology companies on market entry and international expansion.
Elizabeth holds an executive MBA from London Business School, a master’s degree from London School of Economics and a bachelor’s degree from Swarthmore College.