The Rise of Context Engines - Why Data Management is the New AI Frontier
Techstrong TV Interviews
•
18m
In this Techstrong AI Leadership interview, Simba Khadder, Context Engine Lead for Redis, warns that while the reasoning capabilities of Large Language Models (LLMs) are doubling every few months, the real winners will be the organizations that can feed these agents the right data at the right time through a dedicated "context engine". By moving beyond traditional Retrieval-Augmented Generation (RAG) to build stateful, semantic surfaces, enterprises can finally unlock the true value of their structured and unstructured data while avoiding the catastrophic risks of giving non-deterministic AI direct access to their core systems of record.
Up Next in Techstrong TV Interviews
-
Why Your Supply Chain is the Next Enc...
For years, we’ve heard that quantum computing is always "five to ten years away," but as apexanalytics’ Akhilesh Agarwal joins us today, it’s clear that the "Harvest Now, Decrypt Later" threat has turned that timeline into an immediate boardroom crisis. apexanalytics is currently protecting over ...
-
Securing the Agentic Era with Snyk’s ...
We’ve moved past the era of just putting "walls around the code," and as Snyk’s Chief Innovation Officer Manoj Nair joins us from Lisbon, it’s clear that securing the AI-driven enterprise requires a fundamental shift from gatekeeping to building a pervasive security fabric. With the release of Sn...
-
Guarding the "Wild West" of Agent-Dri...
We’ve spent decades trying to train humans to write secure code and failing, but as Endor Labs Founder and CEO Varun Badhwar joins us today, it’s clear that we finally have an opportunity to get the agents to do it right. With AI coding assistants now producing 61% functionally correct code—but o...