Learn more about IBM Watsonx here. Keeping your AI applications waiting for data is not a technical problem; AI agents can help deliver the right data. This episode of the Tech Field Day podcast features Stephanie Valarezo from IBM, who discusses Agentic data enablement with Karen Lopez, Jim Czuprynski, and Alastair Cooke. Organizations face many critical challenges in providing high-quality, secure, and well-governed data at scale for AI, especially agentic AI applications. Beyond simply possessing data, the challenges include managing vast, disparate data sources across hybrid environments, ensuring rapid access, and building trust through robust data governance. IBM's Watsonx is presented as a comprehensive data foundation with pillars in AI, Data, and Governance, offering composable products for data integration, quality, cataloging, and the creation of automated data products. Autonomous agents for repetitive data tasks will allow data professionals to concentrate on higher-value activities such as architecture, policy design, and security. Ultimately, enabling organizations to build scalable, automated, and well-governed data ecosystems for their AI initiatives. IBM Representative: Stephanie Valarezo, Program Director, Product at IBM Panelists: Karen Lopez, Senior Project Manager and Architect, InfoAdvisors Jim Czuprynski, Chief Storyteller at Zero Defect Computing Hosts: Tom Hollingsworth, Event Lead for Tech Field Day Alastair Cooke, Event Lead at Tech Field Day Stephen Foskett, President and Organizer of Tech Field Day Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website. Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
