#Data Governance
50 articles with this tag

FDA's AI Platform Hits 85% Staff Use
The FDA's enterprise AI platform, ELSA, achieved 85% staff adoption in two months by breaking down data silos and enabling custom AI agent creation.

Databricks Lakehouse: The AI Context Layer
Databricks' Data Hub creates a governed AI context layer by unifying R&D data, prioritizing context coverage as a quality metric for both human and AI users.

Snowflake's CoCo aims for enterprise AI trust
Snowflake unveils CoCo, a new platform aimed at enhancing trust and governance for enterprise AI deployments.

Databricks Lakehouse: Unified Data AI Platform
Databricks' Lakehouse Architecture unifies data warehousing and data lakes for analytics and AI, emphasizing governance and open sharing.

Cushman & Wakefield's AI Foundation
Cushman & Wakefield built a scalable enterprise AI core by embedding tech in business units, fostering trust, and using Databricks to cut idea-to-outcome times.

Iceberg REST: Snowflake vs. Databricks
Snowflake criticizes Databricks Unity Catalog's limited Iceberg interoperability, highlighting Snowflake Horizon's full bidirectional REST support and secure credential vending.

AI Agents Must Live Where Your Data Does
Enterprises are facing significant challenges with external AI agents, driving a shift towards 'data-native' approaches where AI workloads run within the data platform.

Genie One App Goes Mobile
Databricks brings its AI data assistant, Genie One, to iOS and Android, allowing business users to access insights and take action on the go.

Agentic AI: Retail Finance's New Margin Guardian
Agentic AI is revolutionizing retail finance, enabling teams to protect omni-channel margins through dynamic data insights and proactive decision-making.

Databricks Unifies Lakehouse with Managed Tables
Databricks enhances its Unity Catalog managed tables, enabling external engines for read/write access and boosting performance via Predictive Optimization.

The AI 'Reverse Information Paradox'
Satya Nadella highlights the 'Reverse Information Paradox AI', where firms risk proprietary knowledge to use AI, demanding new trust boundaries.

Agentic Marketing's Data Foundation
Agentic marketing's future relies on a modern data foundation, with companies like Acxiom achieving significant performance gains and workflow acceleration.

Databricks Streamlines ML Feature Management
Databricks unveils Feature Views, a managed framework simplifying ML feature definition, serving, and governance for training and real-time inference.

Databricks Genie: Ask, Build, Compose
Databricks' 5th Genie Hackathon reveals how Genie Agents, Genie Code, and agent composition are transforming data interaction and application development.

Snowflake's AI Cost Controls
Snowflake is embedding AI into its cost management tools, offering granular visibility and new governance features like per-user quotas to control burgeoning AI spend.

Imperial College London Boosts Dementia Care with Data Platform
Imperial College London's dementia research team leverages a modern Databricks data platform to integrate IoT, clinical, and research data, accelerating care insights and improving patient outcomes.

Databricks & OpenAI: Enterprise AI Gets Real
Databricks and OpenAI are making enterprise agentic AI a reality by integrating advanced models with robust data governance and infrastructure.

Dataiku Cobuild Boosts AI on Snowflake
Dataiku Cobuild on Snowflake allows enterprises to scale AI development directly within their secure Snowflake data environment, translating business needs into governed AI solutions.
Databricks RLS Explained
Databricks row-level security filters data at the database level, enhancing multi-tenant SaaS, compliance, and data segregation.

AI Agents Need Context to Sell
AI agents in marketing require rich, governed context to be effective beyond basic automation, driving a need for unified data foundations.

Snowflake's Agentic Control Plane
Snowflake and Accenture unveil an agentic control plane designed to transform enterprise data into governed, actionable AI-driven decisions at scale.

AI Agents in Healthcare Need Guardrails
AI agents are transforming healthcare, but leaders must ask critical questions about data, governance, and control before widespread adoption.
Databricks Tames AI App Building
Databricks enhances its app development platform with new governance, AI-assisted building, and cost-effective serverless runtimes.
Databricks Evolves Data Sharing for AI
Databricks unveils OpenSharing, an evolution of Delta Sharing, enabling secure cross-cloud sharing of data, AI models, and agents.
Databricks Marketplace Apps Launch
Databricks Marketplace now allows users to discover, deploy, and run third-party data and AI applications directly within their secure workspaces.

Snowflake's AI Guardrails
Snowflake unveils an updated Well-Architected Framework to help organizations build and scale robust AI and data workloads, integrating native capabilities and AI-driven automation.
Azure Databricks embraces agentic era
Databricks unveils major Azure updates, integrating AI agents into productivity tools, real-time data processing, and a new CDP for the agentic era.

Own Your AI Future: Beyond Risk
Accenture's report highlights how Sovereign AI shifts focus from managing AI risk to driving competitive advantage through local innovation and resilient ecosystems.
Document AI: Turning Paperwork into Data
Document AI transforms unstructured documents into structured data using AI, with generative AI adding new capabilities but requiring careful validation.
Databricks Data Federation Arrives
Databricks Lakehouse Federation lets users query data wherever it lives, unifying access and governance across disparate sources without migration.
Databricks Taps Wall Street Vet
Databricks leverages Wall Street expertise with its unified data platform to help financial services overcome data silos and scale AI.
Mercedes-Benz Korea's AI Agents
Mercedes-Benz Korea leverages Databricks to build AI agents with a unified semantic layer, ensuring trusted data insights for BI and AI applications.
Databricks Speeds ERGO Hestia Pricing
ERGO Hestia enhances real-time pricing by integrating data and AI models on Databricks Lakehouse, boosting speed and governance.

Financial Services AI: ROI & Governance
Financial services firms are now seeing measurable ROI from generative AI, with a strong focus on proprietary data and the emerging potential of agentic AI, but governance remains key.
AWS, Databricks Push AI at Summit
AWS and Databricks highlighted their deepening partnership at the Data + AI Summit 2026, showcasing advancements in generative AI and secure data access.
Databricks Opens Up On-Prem Storage
Databricks unveils a new storage ecosystem using OpenSharing to connect its AI platform directly to on-premises data, eliminating migration needs.
Databricks Streamlines AML Compliance
Databricks unveils a unified AI-powered platform to revolutionize AML compliance, promising faster investigations and reduced false positives for financial institutions.

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'.