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About speaker
Dr. Tom Bradicich is Vice President, Hewlett Packard Fellow, and Global Head of Edge and IoT Labs & CoE, at Hewlett Packard Enterprise (HPE). He and his team develop and commercialize advanced connectivity, compute, and controls software, with a focus on AI, WiFi, 5G, and converged IT/Operational Technologies (OT). Tom directs the Edge & IoT Center of Excellence (CoE), leading company-wide strategies, venture/M&A assessments, and the HPE Channel-to-Edge Institute channel partner program.Recently Tom was HPE VP and General Manager, leading the global business unit, Servers, Edge & IoT Systems and Software, with P&L, worldwide sales, R&D, and customer experience ownership. In 2018, achieving revenue growth of over $250M, Tom’s business unit was the fastest growing in HPE. He directed the founding of HPE’s three global IoT Innovation Labs for partner and customer collaborations, and led HPE’s first corporate IoT strategy. His teams are noted for exceeding sales quotas, and delivering first-of-a-kind products that greatly enhance customer business outcomes.Tom serves on the Board of Directors of Aspen Technology, a publicly traded AI and OT software company.Beginning his career at IBM, Tom was an IBM Fellow, Vice President, Distinguished Engineer, and Server CTO. Prior to HPE, Tom was a Corporate Fellow and officer at National Instruments, an Operational Technolgies (OT) company.
View the profileAbout the talk
IoT and edge solutions continue to evolve with new use cases and advancements in many areas. For several years, while at National Instruments and now at Hewlett Packard Enterprise, Dr. Tom Bradicich led teams to pioneer several real world cases for the IoT and edge — with many customers deployments. He will share how his past experiences are shaping his current work developing first-of-a-kind solutions that converge OT (operational technologies) with IT, and, apply new as-a-Service technologies to the edge and IoT. The challenges to adoption, and supply side (vendor) and demand side (customer) benefits will be discussed. In his capacity chairing the IoT Community’s Converged Edge CoE, Dr. Tom will share a reference “converged edge” solution, which includes solution elements from several IoT Community member companies across the industry ecosystem.
00:05 Intro
03:53 First principles
05:07 3 main domains of insights
09:07 Two dynamics at play at the IoT edge
15:05 Convergence of OT and IT
19:00 Vendors
24:55 Edge as-a-service
30:15 Vendor considerations for edge as-a-service offerings vs. data center
33:14 Cloud-managed stack
36:40 Service operator
41:54 Efficiencies
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I couldn't be happier to to do this at this time because I know as we talked about in the world situation and anxiety and stress. We do have some hopefully have some forward-thinking. I want you to know that I personally in my personal life are thinking forward and also in my business life, which as you know, I work at Hewlett-Packard Enterprise car team is continuing to develop a talk about some of the solutions in the as a service and converged o t i t domain and we are I just want to share with you or not slipping on a schedule or
maintaining because as you know, we all have personal challenges, but I say that only to offer some encouragement and some hope and that this iot community in general will come out a stronger. I want you to Please. Here and let me share with you some some personal experiences. So just about everything that I'll share with you. I received from sources of customers and users in a lawsuit payouts in the pay you if you're a vendor in a supplier to actually Supply Information Technology, operational technology services
and integration in the iot Domaine a big part of the iot is the edge of both the edge and iot have achieved Celebrity Status today. I think you would agree and it is exciting having worked at IBM learned a lot about information technology and convergence because of my team and I pioneered the Enterprise blade a server which is a converged system. I have so many functions built into one box and the one to National instruments after that learned a lot about the edge and learned about the data at the edge where the edge is not the
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