Thanks to strong technology like Microsoft AI tools, it is easier than ever to build AI that follows rules and still works well. This includes smart ways of how to apply AI to existing .NET applications, so old systems get a boost without a mess. Also, managing the cost of AI projects is key, so […]
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Why AI Pilots Die (and How to Escape the Pilot Graveyard)
Disclaimer: This article provides independent analysis and commentary on the 2025 McKinsey AI Report. McKinsey & Company does not endorse, sponsor, or affiliate with AInDotNet. AI pilots are everywhere right now.Chatbots. Copilots. Agent prototypes. Workflow automations. Executives love them.Teams build them quickly.Vendors use them to promise transformation. And then… nothing happens. The pilot never reaches […]
Why I Started AInDotNet — And How the McKinsey 2025 AI Report Highlights the Exact Problems I Set Out to Solve
Disclaimer: This article contains independent analysis and commentary on the publicly available 2025 McKinsey AI Report. McKinsey & Company does not endorse, sponsor, or have any affiliation with AInDotNet or the viewpoints expressed here. Introduction When McKinsey released its 2025 AI report, I read it with a mix of déjà vu and quiet confirmation. Not […]
How Microsoft AI Tools Power Digital Transformation in 2026?
AI at work only creates real value when it’s embedded in daily systems, trusted by security, and driven by quality data, not just prompts. In 2026, Microsoft’s direction reflects that reality: AI shifts from helper to operator. Copilots become domain agents, Azure becomes the AI application server, and low‑code becomes the connective tissue for building, […]
Weekly AI News Roundup – Trends & Insights for 11/16/2025
Intelligent Document Processing (IDP) Recent coverage this week explores how organizations are modernizing document workflows using AI, human-in-the-loop validation, and strong guardrail patterns. These perspectives highlight the balance between automation and oversight — and how real production systems maintain accuracy at scale. For a broader overview of applied IDP and automation, see:Intelligent Document Processing & […]
AInDotNet Media Kit – Keith Baldwin
AInDotNet Media Kit – Keith Baldwin About Keith Baldwin Keith Baldwin is the author of the AI Simplified series and AI Conversations Made Simple.He’s a Microsoft-certified .NET developer and AI systems architect who helps professionals understand and apply AI using Microsoft technologies — including Azure AI, Semantic Kernel, ML.NET, and Power Platform. Through his platform, […]
Transforming Enterprise AI with Microsoft Tools & Expert Tips
You sit in a busy meeting room, emails pile up in Outlook, and spreadsheets in Excel demand your full focus. AI steps in to spot hidden patterns, write reports fast, or guess what clients want next. This setup turns into a real advantage for teams. Your company already runs on tools like Office 365, Teams […]
How to Boost Team Productivity with Microsoft & AI Tools?
It is always a desire of every team to achieve more within a short period of time, but identifying the appropriate tools that would enable that to be achieved can sometimes be difficult. Office, Teams, Dynamics, and Azure are some of the Microsoft products already implemented in many businesses and government offices on a daily […]
Intelligent Document Processing in Action: Lessons from DoorDash’s AI-Powered Menu System
Introduction Intelligent Document Processing (IDP) is one of the most practical and impactful applications of artificial intelligence today. It’s the backbone of countless enterprise workflows — from processing invoices and contracts to digitizing healthcare records, government applications, and compliance documents. Yet despite the hype around large language models (LLMs), anyone who has tried to automate […]
Ultimate Guide on What is Semantic Kernel in Microsoft AI?
Great AI blends into real software and gets actual work done. Semantic Kernel is Microsoft’s open-source way to make that happen. It connects large language models to real code, plugins, and services, so teams can turn prompts into actions inside C#, Python, or Java apps. It is simple to start, flexible to extend, and ready […]
Building AI Innovation Teams That Actually Deliver
Why AI Innovation Teams Fail—and How to Fix It Enterprises often launch ambitious AI initiatives only to see them stall, underperform, or fade into “proof-of-concept purgatory.” The reason isn’t always the technology—it’s the team structure and culture behind it. Building AI innovation teams that actually deliver requires more than hiring a few data scientists. It’s […]
AI Cost Optimization for Enterprise Developers: Strategies, Expert Advice & ROI
Efficiency is that silent helper in every project. In AI, keeping costs low is not just about saving money – it means building better, simpler, and safer solutions for everyone. AI brings both hope and worry to big companies and their developer teams. New ideas like smart automation, easy-to-use assistants, and quick predictions are exciting. […]
How to Integrate Azure OpenAI into Your Legacy .NET App
Introduction: Breathing New Life into Legacy Apps If you’ve been running .NET applications for years, chances are they’re business-critical, deeply embedded, and hard to replace. At the same time, leaders across industries are asking: “How do we add AI capabilities without rewriting everything from scratch?” The answer: Azure OpenAI + .NET integration. With Azure OpenAI, […]
Weekly AI News Roundup – Trends & Insights for 8/9/2025
AI industry hype correction In a shifting AI landscape, the industry appears to be moving past its most inflated expectations. This discussion looks at where real value is emerging and where marketing promises have fallen short. For a broader overview of this topic, see our in-depth resource: AI Projects Too Expensive or Risky? Affordable Alternatives. […]
AI Ethics, Compliance, and Security: A Practical Guide for Modern Enterprises
🚨 Introduction: Why AI Ethics and Compliance Matter in 2025 In 2025, businesses aren’t just asking what AI can do—they’re asking if it should.From biased models to data breaches, AI ethics and compliance are now essential to successful AI deployment. Whether you’re building customer-facing assistants or internal forecasting tools, you must protect privacy, ensure fairness, […]