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DataOps Newsletter Volume 23 - November 2025

DataOps Labs

Nov 15, 2025

Learn

Join us at re:Invent 2025:

Online Events:

Meetup: Serverless Media Processing with AWS CDK

Meetup: Serverless E-commerce Order Processing System (Python)

Building Context-Aware AI Agents in Bedrock AgentCore Memory

Innovate

🧠 Market Trends Analysis & Context Engineering for Multi-Agent Workflows

This repository contains comprehensive materials for two advanced AI agent presentations focusing on context engineering, AgentCore Memory, and multi-agent workflow orchestration with production-ready implementations.

Repository: Market_Trends_Agent_Working.ipynb

Elevate

Podcast Title: Autonomous Enterprise and the Agentic Workflow Paradigm
By: Ayyanar Jeyakrishnan

Join me as we explore : A fundamental shift is underway in enterprise operations, moving from rigid, predefined automation to adaptive, goal-driven execution. While Large Language Models (LLMs) possess significant reasoning capabilities, they falter when faced with complex, multi-step tasks, primarily due to challenges in managing state changes and long-term planning. The solution is the Agentic Workflow, a paradigm that embeds procedural knowledge—often structured as Hierarchical Task Networks (HTNs)—to create autonomous digital workers capable of planning, acting, and verifying tasks with high reliability.

This approach dramatically improves LLM performance on complex tasks by explicitly managing dependencies and logical consistency. Agentic workflows can be deployed across a spectrum, from fully autonomous systems that self-evolve, like Evolver, to Human-in-the-Loop (HITL) models for safety-critical applications, such as the ArachNet system used in research. The successful enterprise-scale adoption of this paradigm hinges on a robust infrastructure, conceptually represented by technologies like AWS Strands for dynamic workflow orchestration and Amazon Bedrock AgentCore for a secure, scalable, and fully-featured autonomous runtime. These foundational layers provide the observability, security, and integration capabilities necessary to deploy production-grade, self-optimizing agents that can solve the most complex operational challenges.

Disclaimer “AI Generated Podcast” but content curated by me

Thanks for TRESIDUS for sponsoring this blog