Archives: AI News

Automating repetitive knowledge work with AI This week’s updates explore automating repetitive knowledge work with AI from several perspectives. We start with the primary analysis: Automating Repetitive Knowledge Work with AI. For a broader overview of this topic, see our in‑depth resource: Intelligent Document Processing & AI-Powered RPA. Misaligned KPIs in AI projects This week’s updates explore misaligned KPIs in […]

AI innovation teams A practical look at standing up AI innovation teams that deliver measurable outcomes—not just pilots. AI Devops How to weave AI workloads into mature .NET DevOps practices while preserving reliability and speed. Microsoft AI A deep dive into Microsoft’s Semantic Kernel and how it orchestrates prompts, tools, and memory for production-grade assistants. […]

GDPR AI C# developers This week’s roundup highlights practical takes around GDPR AI C# developers—from the core write‑up to complementary long‑tail angles on LinkedIn and Medium. For a broader overview of this topic, see our in‑depth resource: AI Compliance and Security: How to Build Trustworthy AI Using Existing Processes. AI Cost Optimization for Enterprise Developers This week’s […]

Azure OpenAI .NET integration This topic explores How to Integrate Azure OpenAI into Your Legacy .NET App in practice, with angles on Optimizing Prompt Engineering in .NET Apps Using Azure OpenAI for Legacy Systems, and Building Secure and Scalable .NET Applications with Azure OpenAI: Best Practices for Enterprise Integration. AI for .NET SaaS This topic explores AI for .NET […]

AI prototype case study This week’s roundup highlights practical takes on AI prototype case study—what’s working now and where teams are finding real value. Start with the main piece, “How a Prototype Helped a Government Department Save $1.2M,” then explore the other two. For a broader overview of this topic, see our in-depth resource: AI Projects Too […]

What developers wish executives understood about AI This theme explores facets of what developers wish executives understood about ai, anchored by “What Developers Wish Executives Understood About AI Projects” with LinkedIn’s angle on bridging the gap between executives and developers in AI projects and Medium’s look at executive misconceptions about AI project timelines. For a broader overview of this […]

A curated roundup of fresh articles and deep dives from our ecosystem. Use it to explore practical AI applications across the Microsoft/.NET stack and adjacent domains. Enterprise AI This week’s primary read is Personal AI vs. Enterprise AI: Why YouTube Experts Miss the Bigger Picture, framing the core theme. On LinkedIn, we extend the conversation with […]

Build AI in-house Highlights across architecture, team practices, and Microsoft’s AI tooling—curated for leaders running .NET environments. Best employees for AI Highlights across architecture, team practices, and Microsoft’s AI tooling—curated for leaders running .NET environments. Best AI tools for businesses Highlights across architecture, team practices, and Microsoft’s AI tooling—curated for leaders running .NET environments. How […]

Simplicity in Software Engineering A look into simplicity in software engineering from different angles — strategy, execution, and leadership. For a broader overview of this topic, see our in-depth resource: No AI Experts? No Problem. Advanced AI Techniques A look into advanced ai techniques from different angles — strategy, execution, and leadership. For a broader overview […]

Prototyping AI in .NET AI model for human decision making AI C# Programming Onnx for .net developers

GPT-4o safety risks Latest coverage: Is ChatGPT a Monster? How to Objectively Analyze AI Fear-Mongering Claims sets the stage. Next, we extend the theme with a look at How Businesses Can Distinguish Real GPT-4o Risks from Media-Driven Fear. Finally, we explore a complementary angle around Practical Frameworks for Evaluating GPT-4o Safety in Business Applications. Monolith vs Microservices Latest coverage: Goldilocks […]

Executive AI Glossary A focused set of resources to align teams on language and expectations—useful for executive briefings and onboarding cross-functional stakeholders. For a broader overview of this topic, see our in-depth resource: AI Conversations Made Simple: 70 Key AI Terms and Questions Every Professional Should Know. AI Customer Pain Points A practical look at […]

A succinct roundup of this week’s .NET‑centric AI topics. Each section links to the primary article on AInDotNet.com, with companion write‑ups on LinkedIn and Medium to help search engines discover and connect the whole set. AI project management This week’s coverage on AI project management includes a practical main article plus two long‑tail explorations from LinkedIn and […]

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 Use Case Atlas Understanding where to apply AI is often more important than understanding how. This week’s content explores how businesses can navigate and prioritize their AI opportunities with precision. For a broader overview of this topic, see our in-depth resource: AI Case Studies by Industry Transform Your Business with AI and C# Bringing […]