For enterprises and organizations deploying AI applications in production, AI Safety is no longer optional. And by AI Safety we don't mean some abstract "AI risk", but the practical policies, controls, and engineering that keep systems secure, compliant, and trustworthy. In this post, we recap our latest Trends in AI webinar, highlight the main concerns around AI enterprise deployments, and outline pragmatic steps to safely and securely bring AI apps to production.

Zeta Alpha can accelerate discovery and research. Accurately searching through historical lab reports - and even automating writing them - seems like a strong starting point, especially since it’s not a chore that scientists enjoy.

In this post, we outline key challenges in Enterprise RAG, move beyond the basics towards agentic systems, and explore how automatic optimization can adapt these systems to domain-specific needs.

AI agents are only as useful as the tools they can securely and reliably access. The Model Context Protocol (MCP) standardizes how agents...

How do you stay ahead in a world where AI evolves faster than your news feed can keep up? This past month has been a whirlwind, from...

Retrieval-Augmented Generation (RAG) systems have gained strong traction because of their ability to ground generated answers in knowledge sources, boosting their accuracy and reliability. However, evaluating them remains tricky, especially when there's no clear ground truth data to compare against.

If you only consider the text in your enterprise documents for your Retrieval Augmented Generation (RAG) system, you lose a vast amount...

Zeta Alpha's "Trends in AI" series recently featured Michael Kolk, Managing Partner at Arthur D. Little and head of their Global...