High-impact deep learning applications from machine translation to self-driving cars are capturing the world’s attention, and enterprises have begun to deploy deep learning to unlock new opportunities and achieve competitive and strategic advantage. The potential impact of these initiatives in the next few years has the potential to redefine industries and establish new winners and losers.
However, the challenges enterprises face in implementing deep learning in a practical and strategic manner are significant. Tools, frameworks, access to high-value data, and practical approaches to deployment and integration with existing systems and applications are just some of the considerations. Ron Bodkin explores tools, open source technology, frameworks, and strategies to cost-effectively achieve strategic results with deep learning in the enterprise.
Ron Bodkin is the vice president and general manager for artificial intelligence at Teradata, where he is responsible for leading a cross-functional team spanning product development, strategic offerings, and analytics consulting to identify and commercialize value that AI technologies. Previously, Ron was CTO of services and architecture at Teradata; the founding CEO of Think Big Analytics (acquired by Teradata in 2014), which provides end-to-end support for enterprise big data, including data science, data engineering, advisory and managed services, and frameworks such as Kylo for enterprise data lakes; vice president of engineering at Quantcast, where he led the data science and engineer teams that pioneered the use of Hadoop and NoSQL for batch and real-time decision making; founder of New Aspects, which provided enterprise consulting for aspect-oriented programming; and cofounder and CTO of B2B applications provider C-Bridge, where he managed a team of 900 people and led the company to a successful IPO. Ron holds a BS in math and computer science with honors from McGill University and a master’s degree in computer science from MIT, where he was also pursuing a PhD. He left the program after his idea for C-Bridge placed in the finals of MIT’s $50K Entrepreneurship Contest.
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