01. 9:50 - 15:32: The State of .NET + AI: A New Era of Intelligent Applications 02. 23:04 - 33:08: RAG: Transforming Customer Support with Retrieval-Augmented Generation 03. 33:15 - 36:12: From Modern to Intelligent: The Evolution of Applications 04. 50:00 - 59:00: Empowering Developers with Semantic Kernel 05. 44:00 - 47:01: Ethical AI: Grounding and Responsibility in AI Responses 06. 47:02 - 50:03: Real-World Applications: AI in Action 07. 1:02:00 - 1:15:00: Interactive AI-Powered Web Apps with Blazor and .NET 08. 1:15:00 - 1:30:00: OpenAI and Azure OpenAI: A .NET SDK Convergence Story 09. 1:45:00 - 2:05:00: Agents: Automating Business Workflows with .NET and AI 10. 2:10:00 - 2:30:00: RAG on Your Data with .NET, AI, and Azure SQL 11. 2:35:00 - 2:50:00: Building Generative AI Apps with Azure Cosmos DB 12. 3:00:00 - 3:15:00: Milvus Vector Database: Integrating Semantic Search Capabilities with .NET and Azure 13. 3:20:00 - 3:35:00: Observing AI Applications from Dev to Production with .NET Aspire 14. 3:40:00 - 3:55:00: Infusing AI into Windows Apps with Windows Copilot Runtime and .NET 15. 4:00:00 - 4:20:00: Build Your Own Copilot with Teams AI Library and .NET 16. 4:25:00 - 4:40:00: RAG with AI Search and .NET 17. 4:45:00 - 5:10:00: AI-Powered Analytics with .NET and Power BI 18. 5:15:00 - 5:35:00: Securing AI-Driven Applications with .NET 19. 5:40:00 - 6:00:00: Using AI to Enhance User Experience in .NET Applications 20. 6:05:00 - 6:25:00: AI in Edge Computing with .NET and Azure IoT 21. 6:30:00 - 6:50:00: Scaling AI Applications with Kubernetes and .NET 22. 6:55:00 - 7:15:00: AI-Driven Testing and Quality Assurance in .NET 23. 7:20:00 - 7:45:00: Future of AI in .NET: Trends and Predictions
Small samples are usually better, most people don't need such a vast app and it doesn't apply to their use cases and is massively too complex so useless for most people. You need small samples and big samples.
Actually the purpose of pretending not to know is, that he takes the spectators role that doesn't know and therefore asks this question. It's just to allow a more entertaining experience and avoid to deliver a monologue...
15:39 Keynote - State of .NET + AI - Scott Hanselman, Maria Naggaga 51:00 Get started incorporating AI into your .NET applications and services - Stephen Toub 1:18:22 Better Together: .NET Aspire and Semantic Kernel - Steve Sanderson, Matthew Bolanos 1:53:37 Build interactive AI-powered web apps with Blazor and .NET - Daniel Roth 2:30:00 From Local Development to the Cloud: Navigating the World of AI Models in .NET - Bruno Capuano 3:01:01 OpenAI and Azure OpenAI: A .NET SDK Convergence Story - Matthew Soucoup, Roger Pincombe 3:42:12 Agents: Patterns and Practices for Automating Business Workflows - Kosta Petan, XiaoYun Zhang 4:11:35 RAG on your data with .NET, AI and Azure SQL - Davide Mauri 4:37:51 Building Generative AI apps with your data in Azure Cosmos DB - James Codella, PhD 5:11:41 Milvus Vector Database: Integrating Semantic Search Capabilities with .NET and Azure: Timothy Spann 5:40:34 Lessons Learned from applying Generative AI to apps with .NET and Azure - Vin Kamat, H&R Block 6:11:25 Add generative AI capabilities to your .NET Web app for Azure App Service - Gaurav Seth 6:46:57 Observing AI applications from Dev to Production with .NET Aspire - Anthony Shaw 7:21:45 Infuse AI in your Windows apps with Windows Copilot Runtime and .NET - Nikola Metulev 7:51:16 Build your own copilot with Teams AI library and .NET - Ayça Baş, John Miller ??:??:?? RAG with AI Search and .NET - Matt Gotteiner
01. 9:50 - 15:32: The State of .NET + AI: A New Era of Intelligent Applications
02. 23:04 - 33:08: RAG: Transforming Customer Support with Retrieval-Augmented Generation
03. 33:15 - 36:12: From Modern to Intelligent: The Evolution of Applications
04. 50:00 - 59:00: Empowering Developers with Semantic Kernel
05. 44:00 - 47:01: Ethical AI: Grounding and Responsibility in AI Responses
06. 47:02 - 50:03: Real-World Applications: AI in Action
07. 1:02:00 - 1:15:00: Interactive AI-Powered Web Apps with Blazor and .NET
08. 1:15:00 - 1:30:00: OpenAI and Azure OpenAI: A .NET SDK Convergence Story
09. 1:45:00 - 2:05:00: Agents: Automating Business Workflows with .NET and AI
10. 2:10:00 - 2:30:00: RAG on Your Data with .NET, AI, and Azure SQL
11. 2:35:00 - 2:50:00: Building Generative AI Apps with Azure Cosmos DB
12. 3:00:00 - 3:15:00: Milvus Vector Database: Integrating Semantic Search Capabilities with .NET and Azure
13. 3:20:00 - 3:35:00: Observing AI Applications from Dev to Production with .NET Aspire
14. 3:40:00 - 3:55:00: Infusing AI into Windows Apps with Windows Copilot Runtime and .NET
15. 4:00:00 - 4:20:00: Build Your Own Copilot with Teams AI Library and .NET
16. 4:25:00 - 4:40:00: RAG with AI Search and .NET
17. 4:45:00 - 5:10:00: AI-Powered Analytics with .NET and Power BI
18. 5:15:00 - 5:35:00: Securing AI-Driven Applications with .NET
19. 5:40:00 - 6:00:00: Using AI to Enhance User Experience in .NET Applications
20. 6:05:00 - 6:25:00: AI in Edge Computing with .NET and Azure IoT
21. 6:30:00 - 6:50:00: Scaling AI Applications with Kubernetes and .NET
22. 6:55:00 - 7:15:00: AI-Driven Testing and Quality Assurance in .NET
23. 7:20:00 - 7:45:00: Future of AI in .NET: Trends and Predictions
This should be pinned
The timestamp for "Interactive AI-Powered Web Apps with Blazor and .NET" is wrong, so I'm assuming all of these are wrong.
Starts at 9:46
An index would be nice :)
As a developer this information is very helpful.
Thank you for such a good contribution
Is any Timelines available?
Would you please divide into smaller videos for each talk
All the individual sessions are in this playlist: aka.ms/dotnetFocusAI/OnDemand
@JonGalloway's comment should be pinned.
@@JonGalloway Thank you so much
its 100% not clear if in the first demo you're going out to an Azure service or its doing it itself within the app
Did everyone get onto this stream purely on merit?
hi, thank you guys for your work. Where can I find the source code of all presentations?
Small samples are usually better, most people don't need such a vast app and it doesn't apply to their use cases and is massively too complex so useless for most people.
You need small samples and big samples.
The fact scott wrote this script and got her to present it like she did 😂 Then pretends he doesn't know what RAG means.
This is like kid's TV.
Actually the purpose of pretending not to know is, that he takes the spectators role that doesn't know and therefore asks this question. It's just to allow a more entertaining experience and avoid to deliver a monologue...
hmmmm
Chapters: (see first sub comment)
15:39 Keynote - State of .NET + AI - Scott Hanselman, Maria Naggaga
51:00 Get started incorporating AI into your .NET applications and services - Stephen Toub
1:18:22 Better Together: .NET Aspire and Semantic Kernel - Steve Sanderson, Matthew Bolanos
1:53:37 Build interactive AI-powered web apps with Blazor and .NET - Daniel Roth
2:30:00 From Local Development to the Cloud: Navigating the World of AI Models in .NET - Bruno Capuano
3:01:01 OpenAI and Azure OpenAI: A .NET SDK Convergence Story - Matthew Soucoup, Roger Pincombe
3:42:12 Agents: Patterns and Practices for Automating Business Workflows - Kosta Petan, XiaoYun Zhang
4:11:35 RAG on your data with .NET, AI and Azure SQL - Davide Mauri
4:37:51 Building Generative AI apps with your data in Azure Cosmos DB - James Codella, PhD
5:11:41 Milvus Vector Database: Integrating Semantic Search Capabilities with .NET and Azure: Timothy Spann
5:40:34 Lessons Learned from applying Generative AI to apps with .NET and Azure - Vin Kamat, H&R Block
6:11:25 Add generative AI capabilities to your .NET Web app for Azure App Service - Gaurav Seth
6:46:57 Observing AI applications from Dev to Production with .NET Aspire - Anthony Shaw
7:21:45 Infuse AI in your Windows apps with Windows Copilot Runtime and .NET - Nikola Metulev
7:51:16 Build your own copilot with Teams AI library and .NET - Ayça Baş, John Miller
??:??:?? RAG with AI Search and .NET - Matt Gotteiner