Moving from IoT to ML and AI: Expanding the Top Line
Many firms are leading the race to digital nirvana. Lots of them started with IoT and made a transition. Now, as AI has become more inferential, the focus is shifting from robotics to strategy. This talk will cover some of the ways this has changed the firms and altered their business models. In finance, one firm has turned itself into the “Amazon of Finance.” In pharma, new urgency has been focused on data analytics, shortening the time to value, and creating new standards. In other retailing industries, systems have moved from sensor networks to performing analytics at the edge. This talk reviews many of these efforts and describes how they are changing business models and competition. It also examines how they are likely to affect jobs.
Senior Fellow at Economic Strategy Institute
Robert Cohen is an economist who has analyzed how the emergence of cloud computing and the Internet of Things has affected firms’ use of technology and its impact on the economy. He has been actively
involved in IoT related events such as the IoT Slam conferences, Cloud Expo and related Big Data conferences. He directs the Economic Strategy Institute’s project on the economic impact of machine learning and AI. The project has won a Cisco university grant as well as support from the Ewing Marion Kauffman Foundation, the Berggruen Foundation, Brocade and the OECD. Dr. Cohen has served on the
Steering Committee of the Global Grid Forum and has written extensively on enterprise use of IoT. Firms such as Intel, IBM, Corning, Sun, and Juniper Networks have funded his work. Dr. Cohen co-founded the
New York part of the academic Internet, NYSERNet, and is a founding member of the Internet Society. He holds a BA from Swarthmore College and an MA and PhD from the New School for Social Research.
He is the author or co-author of five books. He has been an advisor to a number of startup firms including Election.com, Decathlon, The Virtual Corporation, Iotium, Projectavision (acquired by Texas Instruments),
End-User, Government, Enterprise
AI, ML, economic impact of AI, mobile infrastructure, cloud computng,
CxO, VP / Director, Middle Management, Business Line Management
Retail, Manufacturing, Banking, Financial Services, Insurance, Industrials, Government / Public Sector, Pharmaceutical / BioTech, Automotive
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