Data governance
Catalogs, lineage, quality, contracts and the management discipline that makes data AI-ready
Latest stories See all →
- How to Describe Data Quality Without Overselling Your Archive
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- How to Add Semantic Search to Enterprise Knowledge with Pinecone and Jinba
- How to Build a LlamaIndex Vector Store With TiDB
- October 2026 — OpenMetadata Community News
- September 2026 — OpenMetadata Community News
- AI, Data Quality, and Hybrid/Decentralized Trials: Top Topics from Clinical Data Innovation Forum
- BigID Alternatives for DSPM and AI Data Security
- How to make scientific data archives AI-ready
- How lakeFS Works: Isolation and Governance for AI Data
- The Ultimate Guide to Data Hygiene and Data Cleansing
- Context Layer vs Data Catalog, Knowledge Graph, and RAG
- Who Owns Data Governance in an Organization?
- Data governance for AI
- How long does AP software implementation take?AP software implementation timelines run 2 to 12 weeks, shaped by vendor data quality, ERP setup, and entity count. Cleaner prep means a faster go-live.Oct 29
- DataHub Context Returns November 4 to Share Production Blueprints for AI Accuracy and Trust
- “Which Customers Were Affected?” Can Your Data Security Program Answer?
- What is an Enterprise Knowledge Graph? Use Cases in Agentic AI | Superblocks
- Data sovereignty doesn’t stop at production
- Building the Application Layer for AWS Unified Data Strategy | Superblocks
- How Data Masking and DSPM Protect Sensitive Data From AI
- Model Registry & Lineage: The Control Plane for Shipping Models
- Data Cleaning and Pre-Processing 2026 : Unified Mentor
- How to Improve Data Policy Compliance Across Teams
Videos
- Operationalizing Microsoft 365 Copilot: Compliance, security, and scale
- US Privacy Summit 2026 Recap: What Regulators Said About Enforcement | This Week in Data Privacy
- AI Governance, Data Governance & Responsible AI: Building Trust at Scale
- Simplify your corporate Know Your Customer (KYC) compliance
- Why Your AI Agents Are Guessing, And How Dojo Fixed It With Aiven DataHub
- What’s new and coming in Redgate Monitor: AI, CIS compliance and cloud migration
- Shipping AI Into 5 Major Banks Without a 12-Month Compliance Wait — Al Chen, Cisco
- Testing AI Systems in Production: Data Quality, Drift, and Model Evaluation
- What is a Data Steward? Data Owner Vs. Data Steward Explained
- Garbage In, Liability Out: Data Quality, Governance, and AI You Can Trust
- Vanta and LangSmith: Assessing Compliance Evidence Like an Auditor
- Cloud Native Live: Compliance at Scale with Kyverno - Razorpay and Nirmata
Podcasts
Recent episodes
- Inside the Performance Constraints of Modern AI Workflows - with Cameron Bahar of Everpure
- Separating AI Hype From Reality with Capgemini’s Danielle Crop
- Giving Enterprise AI Agents the Business Context They Need With SAP
- 18. How Shared Data Strengthened MTSS and Student Support at Urbana School District 116
- #384 Is the Cloud Over? | Sergio Gago, CTO at Cloudera
- Building self-service Dags with GitHub Actions at Lyft
- 532. Data Readiness: AI's Hidden Foundation
- The Data Diva E311 - Rupal Dadu Patel and Debbie Reynolds
- What Happens When Al Agents Can Spend Your Money?
- What Happens When Al Agents Can Spend Your Money?
- What Happens When Al Agents Can Spend Your Money?
- Making Enterprise Data Ready for AI With The Modern Data Company