TheCUBE’s coverage of the IBM Analyst Forum 2024 highlighted key insights into IBM’s strategies and innovations in the realm of generative AI, data management, and enterprise collaboration. Executives from IBM discussed the importance of simplifying complex data processes, the role of partnerships in achieving digital transformation, and how AI is pivotal for future business success.

Sriram Raghavan, IBM

Dave Vellante hosts Sriram Raghavan, VP, Research AI at IBM Research for an interview to provide context on how the IBM’s Granite announcements validate their GTM strategy and commitment to IBM clients across their AI journey.

Bruno Aziza, IBM

John Furrier hosts an interview with Bruno Aziza, VP of Product Management, Data and AI ay IBM to discuss IBM’s updated strategy on Business Intelligence and Business Analytics and upcoming announcements to provide context on how those announcements validate IBM’s GTM strategy and commitment to their clients.

Isabel Gomez Vidal, Dun & Bradstreet

David Linthicum Principal Analyst for theCUBE Research, hosts an interview with Isabel Gomez Vidal, CRO at Dun & Bradstreet to explore their successful application and licensed service of AI with Ask Procurement, a virtual assistant powered by Watsonx, that streamlines procurement practices.

Nick Otto, IBM & Manu Parbhakar, AWS

John Furrier hosts a conversation with IBM’s Nick Otto, GM and Head of Global Strategic Partnerships and AWS’ Manu Parbhakar, GM for Business Application Partnerships. The conversation will deliver an update on how IBM and AWS are partnering to support enterprises with their GenAI strategy.

Hillery Hunter, IBM

David Linthicum, Principal Analyst for theCUBE Research hosts an interview with Hillery Hunter, CTO, IBM Infrastructure and GM, Innovation to discuss and elevate IBM’s POV regarding the benefits of carefully considering AI workflows and overall management of inference costs, vs data, vs management costs. Choosing the right model and where you do your inferencing can have a significant impact to overall success and cost of an AI project.