Matthias Funke and Thomas Chu lead the team shaping IBM's strategy for hybrid data management. They join host Al Martin for a deep dive into trends around data management across cloud environments — from private, to public, to multicloud.
This week on Making Data Simple, we invited Patrick Campbell, CEO and co-founder of Profitwell. Prior to ProfitWell, Patrick lead Strategic Initiatives for Boston based Gemvara and was an economist at Google as well as the U.S. intelligence community.
Today at Think 2019, IBM announced a new vision for the future of AI and digital transformation. Along the way, we made a number of announcements and updates that could profoundly impact how enterprises will use analytics and AI to shape the future of their business. In all, it was definitely a big
During the IBM flagship Think conference in San Francisco today, businesses looking to accelerate their transformation with the IBM AI Watson were treated to news that they’ll be able to build, deploy and run AI models and applications across any cloud, giving them the freedom to apply Watson
A faster journey to AI for the enterprise? What’s the secret? In this interview with Dinesh Nirmal, IBM vice president of analytics development, he shares the highlights of his upcoming Think session: “Modernizing Your Data Estates for an AI and Multicloud World.” On Wednesday, 13 February, he and
Michael Willette, assistant vice president and technical fellow at USAA, comes on Making Data Simple to discuss database methods in the finance industry. Michael has an extensive, technical background as an architect and senior programmer. He shares his journey, current view on the market, emerging
Adam Weinstein is CEO and Co-Founder of Cursor. He previously worked at LinkedIn as a senior manager of business development and founded enGreet, a print-on-demand greeting card company that merged crowd-sourcing with social expressions. In this episode, he describes his data analytics company and
Every company has its own set of problems that it attempts to solve. In our case, we needed a more efficient and accurate way to identify the relationships between businesses on which we maintain data.