Join this webinar to learn how IBM watsonx.data intelligence uses generative AI to accelerate glossary creation from trusted business documentation. We'll also introduce new agentic AI capabilities that help curate existing glossaries, whether created manually, imported, or AI-generated. See how organizations can automatically enhance term descriptions, translate glossary content, and apply data privacy classifications of Personal Information (PI) / Sensitive Personal Information (SPI) at scale using parallel AI agents . Built-in review workflows ensure all proposed changes are captured as draft artifacts for validation before publication. Register now Key Takeaways: Accelerate glossary creation with generative AI Curate large glossaries using agentic AI Enhance descriptions, translations, and PI/SPI classifications Scale governance with parallel AI agents and review workflows Speakers: Michal Szylar, Product Manager, IBM watsonx.data intelligence Michael Loughran, Architect - IBM Data Platform, watsonx.data intelligence (Knowledge Accelerators) #DataManagementGlobal #DataVisualization #webinar #DataandAI
10/28/26 | 04:00 PM - 05:00 PM IT
Data quality AI agents: Diagnose, decide and act Wed, Oct 14, 2026 11:00 AM EDT (5:00 PM Europe/Rome) Add to calendar Data quality remains a major barrier to AI success. According to IDC, 89% of organizations report data quality challenges, while 52% say data quality is the most important factor in AI project success. AI agents can help teams address these data quality issues faster by identifying problems, diagnosing root causes and impact, and initiating the right remediation
Cloud Pak for Data is dedicated in part to perfecting this process, and ensuring businesses can continue to get the most out of AI. Learn more in Daniel Hernandez's interview with The Cube . “You’ve got data science to help you build AI; you’ve got DevOps to help you build the apps; you’ve got nothing to basically help you prepare data for AI. DataOps is the equivalent of DevOps but for delivering AI-ready data.” - Daniel Hernandez, IBM General Manager, IBM Data and AI #ai #artificial-intelligence #cloud-pak-for-data #DataOps #GlobalDataOps #Highlights #Highlights-home
#db2 #dba #developer #ai #data Matthias Funke "The CUBE" Interview - Think 2019 - HDM and AI Executive Director Hybrid Data Management Offering Management & Strategy at IBM Data + AI https://www.thecube.net/ibmthink2019/content/Videos/mwbxFA5YfmTaApizX #AI #DataManagementGlobal #HybridDataManagement
See the new IBM Business Automation Content Analyzer in action including the creation of a document class and its title, classification words and keys in an easy to use cloud service configured for business analysts and powered by AI. Out of the box REST APIs provide simple integration to Line of Business applications and reveal business insight locked in your documents!
https://www.ibmbigdatahub.com/blog/ai-database-upon-us Don't miss this Blog posted in the IBM Big Data & Analytics Hub: The AI database is upon us February 13, 2019 by Thomas Chu Director, Offering Management, Hybrid Data Management, IBM by Matthias Funke Director Hybrid Data Management, IBM Analytics Follow me on LinkedIn As organizations get better at managing and using a wider variety of data, the more they will adopt and make use of AI. IBM General Manager for Data and AI Rob Thomas has said organizations can’t have effective AI without sound IA (Information Architecture)
Whether that indicates AI-generated art or targeted advertisement , AI is a firm aspect of the digital field
The feature infuses artificial intelligence (AI) into the Db2 engine and enables AI queries for discovering valuable insights in your data