If you’re like most of the world, you’re on an aggressive race to implement machine learning applications and on a path to get to deep learning. If you can give better service at a lower cost, you will be the winners in 2030. But infrastructure is a key challenge to getting there. What does the technology infrastructure look like over the next decade as you move from Petabytes to Exabytes? How are you budgeting for more colossal data growth over the next decade? How do your data scientists share data today and will it scale for 5-10 years? Do you have the appropriate security, governance, back-up and archiving processes in place? This session will address these issues and discuss strategies for customers as they ramp up their AI journey with a long term view.
Dave leads alliances for the IBM Storage Business Unit with a focus on solution building and sales enablement while helping customers to solve data challenges at scale. Prior to this role, Dave was the Global Sales Executive for IBM Spectrum Scale. Dave has spent his career leading business development and sales and marketing teams in emerging technologies like workstations, technical computing, Linux, cloud, and parallel file systems. Dave resides in Houston, Texas where he moved while working for Hewlett Packard leading HPC and Linux Business Development teams. He joined IBM via the acquisition of Platform Computing, where he was leading global alliances for OEMs and ISVs. Dave is a graduate of Queen's Engineering in Economics, Electrical Engineering, and their Executive MBA program.