Explores how AI agents are changing app usage, making traditional UIs less essential as users prefer direct outcomes over navigating interfaces.
Explains why AI vendor contracts are part of system architecture, detailing 12 critical clauses CIOs need for agentic AI scale.
Meta releases Muse Glimmer, a 30B open-weights model under Apache 2.0, optimized for agentic tasks, tool use, and multi-step reasoning.
This article discusses the need for a CEO-CIO compact to manage agentic AI risks, spending, and business outcomes, proposing a dual-key operating model.
Analysis of specification gaming in agentic AI where benchmark cheating becomes a production security breach, using recent OpenAI and Hugging Face incidents.
Explains why prompt libraries are insufficient for agentic AI and how to translate prompt intent into enforceable execution policies.
Analysis of Dremio's Lakehouse AI report on shifting enterprise priorities from cost migration to agent-ready data platforms.
Analysis of AWS Summit Japan 2026 focusing on Agentic AI, data platforms, and the operational infrastructure needed for reliable AI in production.
Daily tech reading list covering AI agents, Go 1.26, burnout, code vs specs, and IT unemployment trends.
Analysis of agentic AI standards in 2026, including MCP, A2A, WebMCP, OSI, and the emerging protocol stack for agents.
Overview of the OWASP Top 10 security risks for agentic AI applications, including attack vectors and mitigations.
Recap of AWS Public Sector Summit 2026 presentation on agentic AI with Amazon Bedrock and Kiro for modernizing software development.
Migrating a C# application to the Microsoft Agent Framework (MAF) for agentic AI and multi-agent workflows.
Explores how lakehouses serve as an operating layer for agentic AI, focusing on governed data access, cost controls, and production reliability.
Recap of presenting at AWS New York Summit 2026 on agentic AI and spec-driven development for modernizing SDLC.
AWS Transform custom uses agentic AI for large-scale software modernization, offering five new managed definitions to reduce tech debt.
Case study on building production-ready agentic AI systems for pharmaceutical drug development using RAG and Text-to-SQL.
Learn how to use Agentic AI to build your own frontend component library, avoiding the pitfalls of generic third-party libraries.
Explains the four-layer architecture of an agentic lakehouse for reliable AI agent data access.
Explores how agentic AI auto-heals and protects enterprise data pipelines by replacing static alerts with autonomous monitoring and recovery.
