Powering the next generation of AI

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Ubiquitous Computing has created an explosion of data beyond human processing abilities. AI technologies are the only viable option to transform this data into information. More computing power is required to power AI as more data is generated. Next generation AI will soon be looking at planetary-scale computing systems in order to further fuel AI’s computational needs. We will be looking at some of the technologies such as neuromorphic or quantum computing that will unlock the next level in performance that is not possible with current computing systems.

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 was the global solutions manager for Machine Learning, Quantum Computing and High Performance Computing (HPC), Autonomous Vehicles and Autonomous Computing at AWS. His team was responsible to develop solutions in all areas of HPC and quantum computing. They also developed large-scale machine learning apps, with a portfolio that surpassed $1.5B . Arun established and grew global teams for Autonomous Computing, Quantum Computing Go to Market and solutions at AWS. The businesses grew 2-3x.

Arun’s primary research areas are Bayesian methods and global optimization, probabilistic deep-learning for large-scale applications, and distributed computing. He enjoys modeling large-scale systems and working in massively parallel computing. Arun was the founder and leader of the AI products team in GE’s Oil & Gas division. He also grew the digital products company successfully. His team developed deep learning-augmented hybrid analysis for all segments in the oil & Gas industry. Arun was responsible for the development of the Digital Twin platform at GE’s Global Research Center. This platform allows thousands of engineers to create advanced models quickly and efficiently. His team developed the industry standard for industrial damage modeling using asset-specific cumulative damage modeling techniques.

He is a Six Sigma Master Black Belt and has developed advanced techniques and tools to efficiently model large-scale systems such as jet engine fleets and gas turbines in powerplants. This also allows for faster design times of 3-4X. Arun is a prolific researcher with a Ph.D. in Aerospace Engineering from Purdue University with 19 granted patents (54 filed), and 50 international publications that have been cited more than 1000 times with an h-index of 13. Arun is also a recipient the GE Hull Award, which recognizes technologists who have made a significant technical contribution.

Elizabeth Bramson-Boudreau

Elizabeth Bramson-Boudreau, CEO and Publisher, MIT Technology Review

Elizabeth Bramson-Boudreau is the CEO and publisher of MIT Technology Review, the Massachusetts Institute of Technology’s independent media company.

Since Elizabeth took the helm 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, multi-platform media brand with a global audience and a sustainable business. Under her leadership, MIT Technology Review was praised for its editorial authority, best-in-class events and innovative use of independent, original research support for advertisers and readers.

Elizabeth has a 20-year background in building and running teams at world-leading media companies. She is keen to find new ways to market media content to appeal to both B2B and discerning consumers.

Elizabeth was a senior executive at The Economist Group. Her leadership spanned across business lines and covered mergers and acquisitions, editorial and product modernization, sales, marketing, and events. She was a consultant to technology companies on international expansion and market entry earlier in her career. Elizabeth has an executive MBA from London Business School, a MSc from London School of Economics and a bachelor’s from Swarthmore College.

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