Learn - Share - Innovate - Elevate

DataOps Newsletter Volume 31 - July 2026

Learn

Blogs:

Love to share the Mock Exam for CCA-F.

https://claude-architect.dataopslabs.com/mock-exam

Upcoming Online Meetup:

• Production-Ready AI: Observability, Scaling, and Best Practices in AgentCore

• Supercharging Agents with Built-in Tools: Browser in Action

Share

Build with Bageerathan - Claw and agent harness in Microsoft Foundry

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Innovate

• Procedures, not documents, should be the source of truth. LiveKB reframes enterprise knowledge management by treating procedures as living, versioned assets rather than relying on disconnected training videos, SOPs, and SME knowledge. This closes the knowledge gap in procedure-driven operations across industries such as BFSI, healthcare, insurance, and manufacturing.

• Agentic AI must be built on production-grade foundations. The solution goes beyond RAG and chatbots by introducing a 5-layer architecture with multimodal ingestion, per-domain knowledge bases, Strands Agents deployed on Bedrock AgentCore Runtime, and continuous change synchronization. Model selection is intentionally the last step—governance, evaluation, observability, and retrieval boundaries come first.

• Knowledge should evolve automatically when procedures change. The Change Alert Pipeline enables procedure updates to propagate through the system rapidly, ensuring employees always receive answers aligned with the latest approved procedures. Every answer remains explainable, version-aware, and auditable, making the platform suitable for regulated enterprise environments.

• LiveKB is as much a compliance platform as it is an AI platform. By maintaining immutable procedure lineage, cited responses, evaluation frameworks, and session-level auditability, the architecture addresses both operational efficiency and regulatory requirements. It transforms enterprise knowledge management from periodic retraining exercises into a continuously learning and governed system.

For the complete series:

• LiveKB Part 1 – Your Procedures Are Lying to Your People

• LiveKB Part 2 – Production Architecture with Strands Agents, Bedrock, and AgentCore on AWS

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Elevate

Podcast Details - Ontology Evolution Loop: Building Auditable AI Beyond Prompt Engineering

Every human correction in an AI document extraction pipeline carries valuable domain expertise—but what if we’re storing that knowledge in the least durable artifact we own: the prompt?

Discover the Ontology Evolution Loop—a governed, human-in-the-loop architecture where corrections evolve the domain ontology, automatically regenerating extractors, prompts, and validators while maintaining a permanent audit trail. The discussion also dives into BFSI, Healthcare, and Legal use cases, the limitations of ontology-based systems, and why durable AI requires more than just better prompts.

By: Ayyanar Jeyakrishnan

Disclaimer “AI Generated Podcast” but content curated by me

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Thanks for TRESIDUS for sponsoring this blog