At IBM's recent Think 2019, enterprises embarking upon their AI journey were squarely focused on sessions and labs focused on how to get data ready for successful AI deployments. We sent our newest, freshest team member Thomas LaMonte loose at Think during his second week at IBM to get his first
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.
The focus on customer needs for greater choice and flexibility is a constant at the IBM Think 2019 conference. Nowhere is this more evident than in IBM Hybrid Data Management, which supports data of any type, source and structure, be it on-premises or in the cloud.
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
The European Union recently implemented its General Data Protection Regulation (EU) 2016/679 (GDPR). This new regulation has created a challenge for many organizations in terms of how to maintain compliance with the new data protection and privacy laws while continuing to use data for analytics.
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