I think Anthropic and OpenAI have found product-market fit
Analysis of Anthropic and OpenAI achieving product-market fit with rising enterprise API costs and profitable quarters.
Analysis of Anthropic and OpenAI achieving product-market fit with rising enterprise API costs and profitable quarters.
Analysis of why most companies struggle with AI adoption due to unclear goals and lack of organizational readiness.
Explores why Enterprise AI is an engineering challenge, not the end of software engineering, emphasizing system integration and control.
Analysis of weak vs. strong enterprise AI rollouts, highlighting the importance of solid guidance and practical examples over vague mandates.
A daily tech reading list covering AI, Google Gemini updates, open source trends, agentic engineering, and enterprise AI challenges.
Explains how to import and run LangGraph agents within IBM's watsonx Orchestrate platform for building multi-agent AI systems.
Prompt engineering is evolving from a niche skill to a core capability, similar to spreadsheet proficiency, as AI adoption grows across industries.
Microsoft consolidates AI agent development with Microsoft Foundry, integrating GPT-5.2, governed data access, and centralized operations for enterprise use.
Will Larson discusses the three key pillars for successful AI adoption in companies: domain context, AI tooling experience, and IT infrastructure.
Introduces Agent-Matrix, an open-source OS for managing autonomous AI agents as living systems, aiming to eliminate maintenance.
Weekly summary of AI industry trends covering enterprise adoption, chip manufacturing, regulation, robotics, and major company announcements.
An analysis of the M365 Agents SDK, its role as a successor to Teams Toolkit, and its potential for building AI-first agents across Microsoft 365 surfaces.
Explains a neuro-symbolic system using a theorem prover to prevent GenAI hallucinations in enterprise actions, ensuring logical constraints are met.
Final part of a series on building enterprise-grade AI chat applications, covering data customization, UI, security, evaluation, scaling, load testing, and monitoring.
Explores the architecture and demo of an Enterprise Chat AI solution using Azure OpenAI and AI Search, part of a technical series.