SPOTLIGHT. Waiting for Data Is Not a Technical Problem Presented by IBM

About this episode

Stephanie Valarezo from IBM discusses the challenges and solutions in data enablement for AI applications.

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…

People in this episode

Hosts: Alastair Cooke, Tom Hollingsworth

Guest: Stephanie Valarezo

Topics covered

• AI applications
• data governance
• data integration
• agentic AI
• data ecosystems
• data quality

Keywords

• AI
• data governance
• IBM Watsonx
• data integration
• agentic data
• data quality
• autonomous agents

Mentioned in this episode

Organizations: IBM, InfoAdvisors, Zero Defect Computing

Products: IBM Watsonx

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