Narrow AI and the Incremental Optimization of Business

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Narrow AI and the Incremental Optimization of Business

December 10, 2020 Podcast Archives 0

December 10, 2020, at 3 PM ET

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Host:

Eric Kavanagh
CEO at The Bloor Group 

Eric has nearly 30 years of experience as a career journalist with a keen focus on enterprise technologies. He designs and moderates a variety of New Media programs, including The Briefing Room, DM Radio and Espresso Series, as well as GARP’s Leadership and Research Webcasts. His mission is to help people leverage the power of software, methodologies and politics in order to get things done.

Guests:

Larsh Johnson
Chief Technology Officer at Stem, Inc.

As Chief Technology Officer, Larsh Johnson leads hardware and software engineering to meet the unique needs of Stem’s C&I, utility and energy market customers. Prior to joining Stem, Larsh was Chief Technology Officer at Siemens Digital Grid, where he led technology development teams on products spanning from consumer metering, demand response and analytics to control center software and grid automation. He joined Siemens via the acquisition of eMeter, a Bay Area software company of which he was a co-founder and responsible for innovation and development of meter data management, analytics and advanced smart grid applications. Prior to eMeter, he co-founded CellNet Data Systems, a pioneer in wireless networks for smart metering and distribution automation and now a unit of Landis+Gyr, a Toshiba company. Larsh was a founding member of the Department of Energy’s Gridwise Architecture Council (GWAC) and remains a member emeritus. He earned his B.S. and an M.S. in mechanical engineering from Stanford University.

Robin Grosset
Chief Technology Officer at MindBridge Ai

Robin has a track record as an entrepreneur having worked in and founded successful software startups. This resulted in him joining IBM in 2008 through an acquisition where he was appointed IBM Distinguished Engineer. He has over 20 years commercial experience in the field of Business Analytics.

Rajiv Shah

Rajiv Shah

Rajiv Shah is a data scientist a DataRobot, where his primary focus is on helping customers achieve success with AI. He has published research papers, spoken at conferences, and received patents in many domains including sports analytics, deep learning, and interpretability.  Before DataRobot, Rajiv was a part of data science teams at Caterpillar and State Farm and received a Ph.D. from the University of Illinois at Urbana Champaign.