I had the pleasure of presenting “Scalable Multi-Agent AI with AutoGen” at Boston Code Camp 38, and wow—what a crowd! The room was full, the energy was high, and the questions and conversations just kept flowing. In fact, the interactions were so engaging that I couldn’t even complete my demo! That’s always a great problem […]
Building .NET AI Applications with Google AI: Leveraging Vertex AI & Gemini
At the recent Nashua Cloud .NET User Group meetup, I had the pleasure of presenting on how developers can integrate Google’s AI technologies into their .NET applications. The presentation focused on two key tools in the Google AI ecosystem: Vertex AI and Gemini AI. Vertex AI is a unified platform that simplifies building, deploying, and […]
Unlocking Analytics with Copilot in Microsoft Fabric: Presentation at Nashua Cloud .NET
I recently had the privilege of presenting on Microsoft Fabric at the Nashua Cloud .NET User Group. The session explored the comprehensive analytics capabilities of this unified SaaS platform, emphasizing its AI-driven features, seamless integration, and support for real-time intelligence. If you missed it, the full presentation is available on YouTube. Key Highlights from the […]
Boston Code Camp 37: AI-Powered Data Querying and Visualization
Empowering Data Interaction: A Recap of Boston Code Camp 37 At the recently concluded Boston Code Camp 37, I had the pleasure of presenting “AI-Powered Data Querying and Visualization with KQL and SQL,” an extension of my talk delivered at the Nashua Cloud .NET User Group. My focus was on building innovative solutions to simplify […]
Building the Future: .NET Aspire for Cloud-Ready, Distributed Applications
I recently had the pleasure of presenting on .NET Aspire at the Nashua Cloud .NET User Group, For those who couldn’t attend, here’s a recap of the event, along with links to the recorded presentation and slides. During the presentation, we explored the core aspects of .NET Aspire, focusing on its ability to streamline the […]
Exploring AI-Driven Data Querying and Visualization with KQL and SQL
I recently had the pleasure of presenting at the Nashua Cloud .NET User Group, where I shared insights on AI-Driven Dynamic Data Querying and Visualization with KQL and SQL. The session explored how to harness AI to transform natural language prompts into powerful data queries using tools like GPT-4, Semantic Kernel, and Azure OpenAI. This […]
Transforming Data Queries with AI: A Step Towards Actionable Insights
The ability to swiftly interact with data using natural language has become invaluable in the fast-evolving landscape of data analytics and artificial intelligence. Recently, I shared an article on LinkedIn that explores the concept of transforming user prompts into actionable data queries with the help of AI-powered tools. The AI Query Visualizer: Simplifying Data Interactions […]
Advanced Application Protection with Azure WAF
Recently, I presented “Advanced Application Protection with Azure Web Application Firewall (WAF)” at the Nashua Cloud .NET User Group. In this session, Udai explains how Azure WAF is a powerful solution for protecting web applications against common vulnerabilities like SQL injection, cross-site scripting (XSS), and DDoS attacks. Azure WAF provides customizable rules, automated threat intelligence feeds, and […]
Getting started with Azure AI Studio at Nashua Cloud .NET User Group
Recently, I presented “Getting Started with Azure AI Studio” at the Nashua Cloud .NET User Group. In this session, we explored how to leverage Azure AI Studio for building custom AI copilots and generative AI applications. The session was filled with great energy, and it was exciting to see so many engaged questions from the participants! Azure […]
BCC36: Building AI-Driven Apps Using Semantic Kernel
Today, I am thankful for the chance to present at Boston Code Camp 36 (#BCC36) on Building AI-driven applications using Semantic Kernel. The turnout and engagement of the attendees were both highly impressive and gratifying. Talk Description This presentation delves into building AI-driven applications using the Semantic Kernel SDK, an open-source tool for integrating and […]