Databricks’ Post

AI agents are on the rise. Building a secure and compliant foundation is essential. “Governance, access control, and data quality actually become more important in the age of AI agents,” says Naveen Rao, VP of AI at Databricks. “The tools to determine what services have access to what data become the method for ensuring that AI systems behave in compliance with the rules of data privacy.” Ensuring secure, compliant, and quality data access is essential as AI agents take on a larger role in your data ecosystem. VentureBeat on architecting a data stack for AI agents: https://dbricks.co/3Z6nqIH

The new paradigm: Architecting the data stack for AI agents

The new paradigm: Architecting the data stack for AI agents

https://venturebeat.com

As AI agents become increasingly integral to our data ecosystems, establishing robust governance frameworks is non-negotiable. Ensuring that we have precise access controls and high-quality data not only enhances compliance but also fosters trust in AI systems. This proactive approach will be pivotal in mitigating risks and unlocking the full potential of AI innovation. #AIGovernance #DataPrivacy

John Emmert

CRO, Howso |Databricks, Microsoft, AWS, Snowflake, IBM Partner

3d

This is exactly what Howso, a validated partner of Databricks does. Howso is the reasoning layer that makes Agentic AI be able to make informed and causal driven decisions directly within the Databricks ecosystem.

Martyn Rose

Director at Strategies International Consultants

3d

People still have a use 😂

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Paul Young

Experience Senior Financial Planning, Analysis and Reporting SME seeking P/T or F/T job.

3d

Alignment with a proper use case

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