Overcoming the limitations when using AI
In this .NET Conf 2025 session, Michael Washington explores practical methods for overcoming the limitations of artificial intelligence in real-world implementations, using examples from open-source projects.
Overcoming the Limitations When Using AI
Speaker: Michael Washington
Event: .NET Conf 2025
Artificial intelligence (AI) offers many possibilities but is inherently imprecise, which can create obstacles during integration into real-world applications. In this session, Michael Washington discusses the main practical challenges encountered when working with AI and shares proven strategies and techniques to address them.
Key Topics
- AI's Inherent Imprecision: Understanding the unpredictable nature of AI and the risks it presents for application developers.
- Mitigation Strategies: Approaches and best practices to decrease the impact of AI's inconsistencies.
- Proven Techniques: Real–world implementation advice drawn from working projects.
- Open-Source Applications:
These examples illustrate effective patterns and practical engineering used to harness AI's strengths in production scenarios.
Learn More
- Watch additional .NET Conf 2025 sessions: .NET Conf Playlist
Takeaways
- AI reliability challenges are common but can be managed with thoughtful strategies.
- Open source projects like AIStoryBuildeers.com and BlazorData.net provide helpful implementation guidance.
Presentation by Michael Washington, highlighting essential insights on deploying AI reliably within real-world software.