A curated roundup of the latest AI discussions from AInDotNet, LinkedIn, and Medium. Explore multiple takes on each topic and dive deeper into the core concepts.
AI chatbots in Microsoft environments
- How AI Chatbots Are Transforming Department Workflows in Microsoft Environments — Core discussion published on AInDotNet.com.
- Enterprise Workflow Automation: Unlocking the True Power of AI Chatbots in Microsoft Teams — Focuses on: Enterprise Workflow Automation Using AI Chatbots in Microsoft Teams.
- Breaking Silos: How Microsoft AI Chatbots Bridge Apps, Teams, and Data — Explores: Cross-Platform Conversational AI Integration with Microsoft Chatbots.
For a broader overview of this topic, see our in-depth resource: Chatbots.
Symbol Grounding Problem
- Do AI Systems Truly Understand Language? — Core discussion published on AInDotNet.com.
- What AI Still Doesn’t Understand: The Symbol Grounding Problem in Business Assistants — Focuses on: Symbol Grounding and the Limits of Language Understanding in AI Assistants.
- The Illusion of Understanding: Why Generative AI Sounds Smart but Isn’t Grounded — Explores: Cognitive Illusions in Generative AI and the Symbol Grounding Gap.
For a broader overview of this topic, see our in-depth resource: AI Assistants
AI Goal Misalignment
- Why Smart AI Still Gets It Wrong | Goal Misalignment and Objective Drift — Core discussion published on AInDotNet.com.
- When AI Misfires: How to Prevent Goal Misalignment in the Enterprise — Focuses on: Avoiding AI Misfires: How to Prevent Goal Misalignment.
- Designing AI with Intent: How to Align Objectives and Outcomes — Explores: Designing Aligned AI Systems with Clear Objectives.
For a broader overview of this topic, see our in-depth resource: AI Assistants
Cybersecurity as Warfare
- Cybersecurity Is the New Warfare: AI and Infrastructure Resilience — Core discussion published on AInDotNet.com.
- AI Infrastructure Under Fire: How to Fortify Against Emerging Threats — Focuses on: Protecting AI Infrastructure from Cyber Warfare.
- Cyber Resilience for AI: Defending Intelligent Systems from Digital Conflict — Explores: Cyber Resilience for AI Systems in an Age of Infrastructure Conflict.
For a broader overview of this topic, see our in-depth resource: AI Compliance Security
Enterprise Developers
- AI Cost Optimization Strategies for Enterprise Developers — Core discussion published on AInDotNet.com.
- How Enterprise Developers Can Cut AI Infrastructure Costs Without Sacrificing Performance — Focuses on: Reducing AI Infrastructure Costs Without Sacrificing Performance.
- Smart Scaling: How Enterprise Teams Can Balance AI Costs and Future Growth — Explores: Balancing AI Cost Efficiency and Scalability in Enterprise Systems.
For a broader overview of this topic, see our in-depth resource: AI Project Risk Cost
Power Platform AI
- Power Platform for AI: What to Use and When (and When Not To) — Core discussion published on AInDotNet.com.
- Low-Code vs. Pro-Code: When Power Platform Isn’t Enough for Enterprise AI — Focuses on: When Low-Code AI Hits Its Limits: Knowing When to Go Beyond Power Platform.
- Where Power Platform Shines (and Fails) in Scaling AI Across Departments — Explores: Evaluating Power Platform for Scalable AI Workflows Across Departments.
For a broader overview of this topic, see our in-depth resource: Solutions Microsoft AI Development
Microsoft Copilot AI
- Microsoft Copilot: Learn It, Then Build Your Own Inside .NET — Core discussion published on AInDotNet.com.
- From Copilot to Custom AI: How .NET Developers Can Build Their Own Assistants — Focuses on: Building Custom Copilot-Style AI Assistants with .NET and Open Tools.
- Extending Microsoft Copilot: How to Add Domain-Specific Intelligence Using .NET — Explores: Extending Microsoft Copilot with Domain-Specific Intelligence Using .NET.
For a broader overview of this topic, see our in-depth resource: AI Getting Started