#Data Governance
50 articles with this tag

Snowflake's Lakehouse Aims for Data Agency
Snowflake unveils its Interoperable Lakehouse, promising unified data access, governance, and AI readiness by acting on data in place.
Databricks Adds Query Context
Databricks Query Tags add vital context to data warehouse operations, enabling better cost attribution and workload monitoring for teams and applications.

Snowflake's AI Push for the Agentic Enterprise
Snowflake unveils new features to power agentic enterprise AI, focusing on governed data, AI security, and high-performance compute for production deployments.

Snowflake Taps Context for AI Trust
Snowflake's new Horizon Context feature aims to unify business logic for AI and BI, addressing trust issues caused by scattered data definitions.

Snowflake Bolsters AI Security
Snowflake enhances its platform with new AI security features, including agent identity management and prompt injection protection, to secure enterprise data in the age of autonomous AI.

Snowflake's Metadata Hub: Unifying Data Silos
Snowflake's Metadata Hub aggregates data metadata across diverse systems, enabling unified control and analysis without data migration.
Databricks Touts Unity Catalog for Iceberg
Databricks enhances Unity Catalog for Apache Iceberg, offering GA for Managed, v3, and Foreign Iceberg with focus on interoperability, governance, and AI-driven optimization.
Enterprise AI Agents: The Scale-Up Playbook
Enterprise leaders are finding success in scaling AI agents by embedding governance, orchestrating complex workflows, and empowering their workforce.

Cloudflare's AI Data Agent
Cloudflare unveils Town Lake, a unified data platform, and Skipper, its AI agent for natural language data querying, enhancing internal data access and governance.
Databricks Unifies Operational Data
Databricks' new Lakebase Change Data Feed simplifies operational data integration into the Lakehouse, enabling direct streaming and unified governance.

Accenture's AI 'Superhighway'
Accenture proposes an 'intelligent superhighway' of governed data and codified workflows to unlock AI's enterprise value, moving beyond scattered pilots to systemic integration.
Databricks BI Stack: Faster Queries, Lower Costs
Databricks unveils its BI serving stack, integrating physical data optimization with a governed semantic layer for enhanced performance and reduced costs.
Telcos' AI Paradox: Data Debt Stalls Progress
Telcos face an AI paradox: high adoption intent but stalled production due to fragmented data. A unified semantic layer is the key to overcoming 'data debt'.
Databricks Adds OpenTelemetry Tracing
Databricks integrates OpenTelemetry tracing directly into Unity Catalog, offering governed, cost-effective observability for AI agents and simplifying telemetry pipelines.
World Bank Leverages Databricks for Poverty Fight
World Bank Group uses Databricks to unify data, enabling faster insights and accelerating global poverty reduction efforts.
Databricks curbs AI agent dangers
Databricks Unity Catalog introduces granular control and logging for AI agents, preventing unauthorized actions and providing a complete audit trail.
AI Security Infrastructure Becomes CMO Concern
Databricks' Lakewatch signals a critical convergence: AI, security, and data infrastructure decisions are now paramount for CMOs to enable trustworthy AI at scale.
Databricks Unifies Data Governance
Databricks integrates operational databases into Unity Catalog, simplifying governance, auditing, and cost attribution for all data workloads.

AI's Financial Risk: The Semantic Layer Problem
Financial firms grapple with AI risk stemming from complex semantic layers, demanding greater data integrity and model explainability for safe deployment.
Data Quality: The AI Strategy
NYU Langone Health demonstrates how prioritizing data quality at the source is the cornerstone of any successful AI strategy, driving real-world value in healthcare.
Databricks Unifies Clinical Data
Databricks' new open-source Site Feasibility Workbench brings clinical trial intelligence onto its Lakehouse, tackling data silos and improving auditability.
Databricks Unity Catalog Automates Data Security
Databricks Unity Catalog achieves general availability for ABAC policies, governed tags, and data classification, automating sensitive data protection.
Healthcare AI's Trust Deficit
Achieving trustworthy AI in healthcare demands a robust data foundation, prioritizing transparency, human oversight, and built-in governance over mere algorithmic advancements.
Databricks Unifies Lakehouse with Catalog Commits
Databricks launches Catalog Commits, enhancing its lakehouse with unified governance, improved interoperability, and multi-table transaction support.

SAP, Snowflake Streamline AI with Zero-Copy Data
SAP and Snowflake launch zero-copy integration, enabling enterprises to unify critical business data for advanced AI applications without duplication.
HR's AI Overload Solution
HR is drowning in capacity gaps. A phased AI adoption strategy, powered by Databricks and MathCo, offers a path to transformation.
Databricks Adds Real-Time Data to AI Agents
Databricks' MCP Marketplace now equips AI agents with live external data, enabling more sophisticated, real-time decision-making.

Snowflake: Data Foundation Fuels AI in Healthcare
Snowflake highlights how robust data foundations are crucial for unlocking AI's potential in healthcare and public sectors, enabling accuracy, governance, and operational improvements.
SAP Data Gets Smarter in Databricks
Databricks integrates SAP semantic metadata, transforming cryptic SAP data into an AI-ready, context-rich asset within Unity Catalog.
Databricks, BigQuery Unite Data Catalogs
Databricks and Google Cloud enable bidirectional catalog federation, allowing BigQuery and Unity Catalog users to access shared data without duplication.
AI Agents Need a New Foundation
AI agents are ready, but most enterprise architectures aren't. Databricks argues for a foundational shift to transactional data infrastructure for true AI value.
Public Sector AI Fraud Fight Gets Real
Public sector agencies are adopting AI to combat rising fraud, but require integrated data, governance, and workflows for effective implementation.

AI Agents Lack Identity, Risking Enterprise Trust
Enterprises are struggling with the AI agent identity problem, a critical gap in governance and accountability that hinders trust and adoption.
Databricks Genie Evolves for Broader Access
Databricks Genie's next generation breaks free from Genie Spaces, connecting to external data sources and offering mobile apps for unified business user access.
Agentic AI Needs Smarter Guardrails
LangGuard's agentic workflow governance engine, powered by Databricks Lakebase, provides critical runtime control for enterprise AI deployments.
Databricks Activates Documents with AI Agents
Databricks introduces a multi-agent workflow using AI/BI Genie and Agent Bricks to automate document data extraction and activation.
Databricks: Powering the Modern CFO
Databricks aims to transform financial services CFOs from reactive operators to proactive strategists by unifying data, AI, and governance.
Healthcare AI's Data Jigsaw Puzzle
Healthcare AI's leap to production requires overcoming data silos with a governed lakehouse architecture and fusion strategies that handle missing modalities.
Databricks Excel Add-in Simplifies Data Access
Databricks launches an Excel Add-in, allowing business users governed access to lakehouse data without SQL, simplifying analysis and ensuring data consistency.
Banks' AI Roadblock: Data, Not Code
Banks' AI ambitions are hindered by fragmented data and weak governance, not a lack of AI tech. A robust data platform is the true key to unlocking scalable AI.
dbt on Databricks: Open Platform Advantage
Databricks is enhancing dbt workflows with its unified lakehouse, offering open foundations, integrated governance, and optimized performance to accelerate data transformation.
Databricks Unlocks Unstructured Data
Databricks enhances its platform with Document Intelligence and Lakeflow, enabling businesses to unlock and process vast amounts of unstructured enterprise data.
Databricks Connects to Google Sheets
Databricks introduces a Google Sheets connector, bringing real-time, governed Lakehouse data directly into spreadsheets for enhanced business analysis.
Databricks AI Gateway Tames Tool Access
Databricks AI Gateway streamlines agent connections to external tools like GitHub and Atlassian, simplifying authentication and enhancing governance.
Databricks Tames Agentic AI
Databricks enhances its AI Gateway to provide unified governance, visibility, and guardrails for complex agentic AI workflows.
AI in Finance: Execution is Key
By 2026, the financial services industry's competitive edge will be defined by AI execution, not just adoption, with unified platforms being key.
Databricks Launches Agent Bricks Platform
Databricks launches Agent Bricks, an enterprise agent platform designed for secure, governed deployment of AI agents on business data.
Zalando Unifies Data with Databricks
Zalando leverages Databricks Unity Catalog and Metric Views to create a unified data foundation, enabling consistent metrics and AI-powered natural language analytics.
Iceberg v3 Ushers In New Data Era
Apache Iceberg v3 advances data interoperability, with Snowflake integrating new capabilities to break down silos and empower AI.
Databricks Unifies Data Workflows
Databricks introduces a unified platform to eliminate data silos and enhance collaboration across financial institutions using AI and governed analytics.