�ݺ�ߣshows by User: UdaiappaRamachandran

�ݺ�ߣshows by User: UdaiappaRamachandran / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: UdaiappaRamachandran / Thu, 12 Dec 2024 03:48:34 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: UdaiappaRamachandran Microsoft Fabric by Udaiappa Ramachandran.pptx /slideshow/microsoft-fabric-by-udaiappa-ramachandran-pptx/274005148 microsoftfabric-241212034834-07232907
This presentation, delivered by Udaiappa Ramachandran (Udai), CTO/CSO at Akumina Inc. and a Microsoft MVP, introduces Microsoft Fabric, a unified analytics platform. Key highlights include its integration capabilities, governance features, AI-driven insights, and intuitive tools within Microsoft 365. It explores modules like Data Factory, Data Engineering, Data Science, and Real-Time Intelligence, emphasizing their roles in transforming data workflows. The presentation also demonstrates the functionality of Copilot in Microsoft Fabric, showcasing its capacity for streamlined data processing and actionable insights. References include Microsoft documentation and training resources.]]>
This presentation, delivered by Udaiappa Ramachandran (Udai), CTO/CSO at Akumina Inc. and a Microsoft MVP, introduces Microsoft Fabric, a unified analytics platform. Key highlights include its integration capabilities, governance features, AI-driven insights, and intuitive tools within Microsoft 365. It explores modules like Data Factory, Data Engineering, Data Science, and Real-Time Intelligence, emphasizing their roles in transforming data workflows. The presentation also demonstrates the functionality of Copilot in Microsoft Fabric, showcasing its capacity for streamlined data processing and actionable insights. References include Microsoft documentation and training resources.]]> Thu, 12 Dec 2024 03:48:34 GMT /slideshow/microsoft-fabric-by-udaiappa-ramachandran-pptx/274005148 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) Microsoft Fabric by Udaiappa Ramachandran.pptx UdaiappaRamachandran This presentation, delivered by Udaiappa Ramachandran (Udai), CTO/CSO at Akumina Inc. and a Microsoft MVP, introduces Microsoft Fabric, a unified analytics platform. Key highlights include its integration capabilities, governance features, AI-driven insights, and intuitive tools within Microsoft 365. It explores modules like Data Factory, Data Engineering, Data Science, and Real-Time Intelligence, emphasizing their roles in transforming data workflows. The presentation also demonstrates the functionality of Copilot in Microsoft Fabric, showcasing its capacity for streamlined data processing and actionable insights. References include Microsoft documentation and training resources. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/microsoftfabric-241212034834-07232907-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation, delivered by Udaiappa Ramachandran (Udai), CTO/CSO at Akumina Inc. and a Microsoft MVP, introduces Microsoft Fabric, a unified analytics platform. Key highlights include its integration capabilities, governance features, AI-driven insights, and intuitive tools within Microsoft 365. It explores modules like Data Factory, Data Engineering, Data Science, and Real-Time Intelligence, emphasizing their roles in transforming data workflows. The presentation also demonstrates the functionality of Copilot in Microsoft Fabric, showcasing its capacity for streamlined data processing and actionable insights. References include Microsoft documentation and training resources.

Microsoft Fabric by Udaiappa Ramachandran.pptx from Udaiappa Ramachandran

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0 .NET Aspire Presentation by Udaiappa Ramachandran /slideshow/net-aspire-presentation-by-udaiappa-ramachandran/273445380 random-241119215526-3e942019
Explore the world of .NET Aspire with insights from Udaiappa Ramachandran (Udai), CTO/CSO at Akumina Inc. and Microsoft MVP. This presentation covers the fundamentals of .NET Aspire, including its core building blocks: Service Defaults, Orchestration, Service Discovery, Integrations, Deployment, and Dashboard functionalities. Learn how to set up distributed applications, leverage tools like Azure Dev CLI and AWS CDK for deployment, and implement observability, resiliency, and health checks in your .NET applications. Dive into code snippets, orchestration examples, and integration techniques tailored for modern cloud-native applications. Discover deployment strategies and standalone dashboard setup instructions to streamline your development workflow. Perfect for developers, architects, and technology enthusiasts eager to harness the power of .NET Aspire in their projects. Visit https://udai.io for more insights. Stay connected: https://www.linkedin.com/in/udair/]]>
Explore the world of .NET Aspire with insights from Udaiappa Ramachandran (Udai), CTO/CSO at Akumina Inc. and Microsoft MVP. This presentation covers the fundamentals of .NET Aspire, including its core building blocks: Service Defaults, Orchestration, Service Discovery, Integrations, Deployment, and Dashboard functionalities. Learn how to set up distributed applications, leverage tools like Azure Dev CLI and AWS CDK for deployment, and implement observability, resiliency, and health checks in your .NET applications. Dive into code snippets, orchestration examples, and integration techniques tailored for modern cloud-native applications. Discover deployment strategies and standalone dashboard setup instructions to streamline your development workflow. Perfect for developers, architects, and technology enthusiasts eager to harness the power of .NET Aspire in their projects. Visit https://udai.io for more insights. Stay connected: https://www.linkedin.com/in/udair/]]> Tue, 19 Nov 2024 21:55:26 GMT /slideshow/net-aspire-presentation-by-udaiappa-ramachandran/273445380 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) .NET Aspire Presentation by Udaiappa Ramachandran UdaiappaRamachandran Explore the world of .NET Aspire with insights from Udaiappa Ramachandran (Udai), CTO/CSO at Akumina Inc. and Microsoft MVP. This presentation covers the fundamentals of .NET Aspire, including its core building blocks: Service Defaults, Orchestration, Service Discovery, Integrations, Deployment, and Dashboard functionalities. Learn how to set up distributed applications, leverage tools like Azure Dev CLI and AWS CDK for deployment, and implement observability, resiliency, and health checks in your .NET applications. Dive into code snippets, orchestration examples, and integration techniques tailored for modern cloud-native applications. Discover deployment strategies and standalone dashboard setup instructions to streamline your development workflow. Perfect for developers, architects, and technology enthusiasts eager to harness the power of .NET Aspire in their projects. Visit https://udai.io for more insights. Stay connected: https://www.linkedin.com/in/udair/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/random-241119215526-3e942019-thumbnail.jpg?width=120&height=120&fit=bounds" /> Explore the world of .NET Aspire with insights from Udaiappa Ramachandran (Udai), CTO/CSO at Akumina Inc. and Microsoft MVP. This presentation covers the fundamentals of .NET Aspire, including its core building blocks: Service Defaults, Orchestration, Service Discovery, Integrations, Deployment, and Dashboard functionalities. Learn how to set up distributed applications, leverage tools like Azure Dev CLI and AWS CDK for deployment, and implement observability, resiliency, and health checks in your .NET applications. Dive into code snippets, orchestration examples, and integration techniques tailored for modern cloud-native applications. Discover deployment strategies and standalone dashboard setup instructions to streamline your development workflow. Perfect for developers, architects, and technology enthusiasts eager to harness the power of .NET Aspire in their projects. Visit https://udai.io for more insights. Stay connected: https://www.linkedin.com/in/udair/

.NET Aspire Presentation by Udaiappa Ramachandran from Udaiappa Ramachandran

]]> 69 0 https://cdn.slidesharecdn.com/ss_thumbnails/random-241119215526-3e942019-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 AI-Driven Dynamic Data Querying and Visualization with KQL and SQL /slideshow/ai-driven-dynamic-data-querying-and-visualization-with-kql-and-sql/272963511 ai-kqlandsql-241102170707-d17c3513
In this presentation, Udaiappa Ramachandran (Udai), CTO/CSO at Akumina and Microsoft Azure MVP, showcases the AI Query Visualizer—an innovative tool that transforms natural language prompts into KQL (Kusto Query Language) or SQL queries. Designed to simplify complex data interactions, this tool allows users to effortlessly query data from platforms like Log Analytics and CosmosDB. Key topics include an overview of the AI Query Visualizer, which bridges the gap between natural language and technical queries, along with core features like KQL and SQL integration, contextual query generation using Microsoft’s Semantic Kernel, and voice input through Azure Speech Service. The presentation also highlights real-world applications for data analysis, business intelligence, and automated reporting, making it valuable for technical and non-technical audiences interested in data-driven insights. Powered by Azure OpenAI and Blazor, this tool exemplifies how AI can make data querying more accessible and efficient.]]>
In this presentation, Udaiappa Ramachandran (Udai), CTO/CSO at Akumina and Microsoft Azure MVP, showcases the AI Query Visualizer—an innovative tool that transforms natural language prompts into KQL (Kusto Query Language) or SQL queries. Designed to simplify complex data interactions, this tool allows users to effortlessly query data from platforms like Log Analytics and CosmosDB. Key topics include an overview of the AI Query Visualizer, which bridges the gap between natural language and technical queries, along with core features like KQL and SQL integration, contextual query generation using Microsoft’s Semantic Kernel, and voice input through Azure Speech Service. The presentation also highlights real-world applications for data analysis, business intelligence, and automated reporting, making it valuable for technical and non-technical audiences interested in data-driven insights. Powered by Azure OpenAI and Blazor, this tool exemplifies how AI can make data querying more accessible and efficient.]]> Sat, 02 Nov 2024 17:07:07 GMT /slideshow/ai-driven-dynamic-data-querying-and-visualization-with-kql-and-sql/272963511 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) AI-Driven Dynamic Data Querying and Visualization with KQL and SQL UdaiappaRamachandran In this presentation, Udaiappa Ramachandran (Udai), CTO/CSO at Akumina and Microsoft Azure MVP, showcases the AI Query Visualizer—an innovative tool that transforms natural language prompts into KQL (Kusto Query Language) or SQL queries. Designed to simplify complex data interactions, this tool allows users to effortlessly query data from platforms like Log Analytics and CosmosDB. Key topics include an overview of the AI Query Visualizer, which bridges the gap between natural language and technical queries, along with core features like KQL and SQL integration, contextual query generation using Microsoft’s Semantic Kernel, and voice input through Azure Speech Service. The presentation also highlights real-world applications for data analysis, business intelligence, and automated reporting, making it valuable for technical and non-technical audiences interested in data-driven insights. Powered by Azure OpenAI and Blazor, this tool exemplifies how AI can make data querying more accessible and efficient. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ai-kqlandsql-241102170707-d17c3513-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this presentation, Udaiappa Ramachandran (Udai), CTO/CSO at Akumina and Microsoft Azure MVP, showcases the AI Query Visualizer—an innovative tool that transforms natural language prompts into KQL (Kusto Query Language) or SQL queries. Designed to simplify complex data interactions, this tool allows users to effortlessly query data from platforms like Log Analytics and CosmosDB. Key topics include an overview of the AI Query Visualizer, which bridges the gap between natural language and technical queries, along with core features like KQL and SQL integration, contextual query generation using Microsoft’s Semantic Kernel, and voice input through Azure Speech Service. The presentation also highlights real-world applications for data analysis, business intelligence, and automated reporting, making it valuable for technical and non-technical audiences interested in data-driven insights. Powered by Azure OpenAI and Blazor, this tool exemplifies how AI can make data querying more accessible and efficient.

AI-Driven Dynamic Data Querying and Visualization with KQL and SQL from Udaiappa Ramachandran

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0 Advanced Application Protection with Azure WAF /slideshow/advanced-application-protection-with-azure-waf/272963416 azure-waf-torprotection-241102165916-eb81a65b
Advanced Application Protection with Azure WAF" provides a comprehensive overview of how Azure Web Application Firewall (WAF) secures web applications against modern threats, including SQL injection, cross-site scripting, and DDoS attacks. This presentation covers the WAF's deployment modes, customization options with managed and custom rules, integration capabilities with other Azure services, and special considerations for managing TOR traffic. Ideal for those looking to enhance their application security with scalable, cloud-based defenses.]]>
Advanced Application Protection with Azure WAF" provides a comprehensive overview of how Azure Web Application Firewall (WAF) secures web applications against modern threats, including SQL injection, cross-site scripting, and DDoS attacks. This presentation covers the WAF's deployment modes, customization options with managed and custom rules, integration capabilities with other Azure services, and special considerations for managing TOR traffic. Ideal for those looking to enhance their application security with scalable, cloud-based defenses.]]> Sat, 02 Nov 2024 16:59:16 GMT /slideshow/advanced-application-protection-with-azure-waf/272963416 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) Advanced Application Protection with Azure WAF UdaiappaRamachandran Advanced Application Protection with Azure WAF" provides a comprehensive overview of how Azure Web Application Firewall (WAF) secures web applications against modern threats, including SQL injection, cross-site scripting, and DDoS attacks. This presentation covers the WAF's deployment modes, customization options with managed and custom rules, integration capabilities with other Azure services, and special considerations for managing TOR traffic. Ideal for those looking to enhance their application security with scalable, cloud-based defenses. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/azure-waf-torprotection-241102165916-eb81a65b-thumbnail.jpg?width=120&height=120&fit=bounds" /> Advanced Application Protection with Azure WAF" provides a comprehensive overview of how Azure Web Application Firewall (WAF) secures web applications against modern threats, including SQL injection, cross-site scripting, and DDoS attacks. This presentation covers the WAF's deployment modes, customization options with managed and custom rules, integration capabilities with other Azure services, and special considerations for managing TOR traffic. Ideal for those looking to enhance their application security with scalable, cloud-based defenses.

Advanced Application Protection with Azure WAF from Udaiappa Ramachandran

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0 RAG Patterns and Vector Search in Generative AI /slideshow/rag-patterns-and-vector-search-in-generative-ai/266974430 ragpatternsandvectorsearchingenerativeai-240326152622-d550d821
Explore the cutting-edge of AI and search technology with Udaiappa Ramachandran (Udai), CTO/CSO of Akumina Inc. and Microsoft Azure MVP, in his presentation 'RAG Patterns and Vector Search in Generative AI'. This comprehensive overview covers the essentials of Keyword and Vector Search, highlighting their strengths and limitations. Udai brilliantly introduces Hybrid Search, combining the best of both worlds for enhanced accuracy and relevance. Real-world applications in companies like Amazon, Google, and Netflix illustrate the practical implications of these technologies. The presentation also delves into the mechanics of cosine similarity and explores various vector databases, providing a well-rounded understanding of current AI search technologies. Ideal for professionals and enthusiasts in the AI and search technology fields, this presentation offers a glimpse into the future of intelligent search solutions.]]>
Explore the cutting-edge of AI and search technology with Udaiappa Ramachandran (Udai), CTO/CSO of Akumina Inc. and Microsoft Azure MVP, in his presentation 'RAG Patterns and Vector Search in Generative AI'. This comprehensive overview covers the essentials of Keyword and Vector Search, highlighting their strengths and limitations. Udai brilliantly introduces Hybrid Search, combining the best of both worlds for enhanced accuracy and relevance. Real-world applications in companies like Amazon, Google, and Netflix illustrate the practical implications of these technologies. The presentation also delves into the mechanics of cosine similarity and explores various vector databases, providing a well-rounded understanding of current AI search technologies. Ideal for professionals and enthusiasts in the AI and search technology fields, this presentation offers a glimpse into the future of intelligent search solutions.]]> Tue, 26 Mar 2024 15:26:22 GMT /slideshow/rag-patterns-and-vector-search-in-generative-ai/266974430 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) RAG Patterns and Vector Search in Generative AI UdaiappaRamachandran Explore the cutting-edge of AI and search technology with Udaiappa Ramachandran (Udai), CTO/CSO of Akumina Inc. and Microsoft Azure MVP, in his presentation 'RAG Patterns and Vector Search in Generative AI'. This comprehensive overview covers the essentials of Keyword and Vector Search, highlighting their strengths and limitations. Udai brilliantly introduces Hybrid Search, combining the best of both worlds for enhanced accuracy and relevance. Real-world applications in companies like Amazon, Google, and Netflix illustrate the practical implications of these technologies. The presentation also delves into the mechanics of cosine similarity and explores various vector databases, providing a well-rounded understanding of current AI search technologies. Ideal for professionals and enthusiasts in the AI and search technology fields, this presentation offers a glimpse into the future of intelligent search solutions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ragpatternsandvectorsearchingenerativeai-240326152622-d550d821-thumbnail.jpg?width=120&height=120&fit=bounds" /> Explore the cutting-edge of AI and search technology with Udaiappa Ramachandran (Udai), CTO/CSO of Akumina Inc. and Microsoft Azure MVP, in his presentation 'RAG Patterns and Vector Search in Generative AI'. This comprehensive overview covers the essentials of Keyword and Vector Search, highlighting their strengths and limitations. Udai brilliantly introduces Hybrid Search, combining the best of both worlds for enhanced accuracy and relevance. Real-world applications in companies like Amazon, Google, and Netflix illustrate the practical implications of these technologies. The presentation also delves into the mechanics of cosine similarity and explores various vector databases, providing a well-rounded understanding of current AI search technologies. Ideal for professionals and enthusiasts in the AI and search technology fields, this presentation offers a glimpse into the future of intelligent search solutions.

RAG Patterns and Vector Search in Generative AI from Udaiappa Ramachandran

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0 Level up your security using Intune.pptx /slideshow/level-up-your-security-using-intunepptx/266949511 levelupyoursecurityusingintune-240325033215-7926377c
In "Level Up Your Security Using Intune," Udaiappa Ramachandran, an expert in cloud technologies, presents a detailed guide on using Microsoft Intune for enhancing mobile application and device security. The presentation covers two main integration strategies: the Intune SDK, which provides fine-grained control, customization, and long-term maintainability, and the Intune App Wrapper, suitable for legacy apps and rapid prototyping with some feature limitations. Udaiappa's talk, aimed at modern developers, emphasizes the importance of robust mobile security and showcases Intune's capabilities in managing both corporate-owned devices and BYOD scenarios, underlining its critical role in contemporary digital security management.]]>
In "Level Up Your Security Using Intune," Udaiappa Ramachandran, an expert in cloud technologies, presents a detailed guide on using Microsoft Intune for enhancing mobile application and device security. The presentation covers two main integration strategies: the Intune SDK, which provides fine-grained control, customization, and long-term maintainability, and the Intune App Wrapper, suitable for legacy apps and rapid prototyping with some feature limitations. Udaiappa's talk, aimed at modern developers, emphasizes the importance of robust mobile security and showcases Intune's capabilities in managing both corporate-owned devices and BYOD scenarios, underlining its critical role in contemporary digital security management.]]> Mon, 25 Mar 2024 03:32:14 GMT /slideshow/level-up-your-security-using-intunepptx/266949511 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) Level up your security using Intune.pptx UdaiappaRamachandran In "Level Up Your Security Using Intune," Udaiappa Ramachandran, an expert in cloud technologies, presents a detailed guide on using Microsoft Intune for enhancing mobile application and device security. The presentation covers two main integration strategies: the Intune SDK, which provides fine-grained control, customization, and long-term maintainability, and the Intune App Wrapper, suitable for legacy apps and rapid prototyping with some feature limitations. Udaiappa's talk, aimed at modern developers, emphasizes the importance of robust mobile security and showcases Intune's capabilities in managing both corporate-owned devices and BYOD scenarios, underlining its critical role in contemporary digital security management. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/levelupyoursecurityusingintune-240325033215-7926377c-thumbnail.jpg?width=120&height=120&fit=bounds" /> In "Level Up Your Security Using Intune," Udaiappa Ramachandran, an expert in cloud technologies, presents a detailed guide on using Microsoft Intune for enhancing mobile application and device security. The presentation covers two main integration strategies: the Intune SDK, which provides fine-grained control, customization, and long-term maintainability, and the Intune App Wrapper, suitable for legacy apps and rapid prototyping with some feature limitations. Udaiappa's talk, aimed at modern developers, emphasizes the importance of robust mobile security and showcases Intune's capabilities in managing both corporate-owned devices and BYOD scenarios, underlining its critical role in contemporary digital security management.

Level up your security using Intune.pptx from Udaiappa Ramachandran

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0 Building AI-Driven Apps Using Semantic Kernel.pptx /slideshow/building-aidriven-apps-using-semantic-kernelpptx/266949383 buildingai-drivenappsusingsemantickernel-240325032119-e8692a68
Semantic Kernel, an open-source SDK, streamlines the integration and orchestration of AI models, supporting a diverse range of languages like C#, Python, and Java. It offers a suite of tools for AI application development, including specialized plugins for extending functionalities and planners for automating complex workflows and improving efficiency. A key feature of Semantic Kernel is its focus on memory and context management, enhancing AI agent performance and understanding. The copilot feature stands out for its real-time user interaction capabilities and its seamless integration with existing systems. Aimed at facilitating the development of sophisticated AI-driven applications, Semantic Kernel provides comprehensive support for task automation, model integration, and responsible AI practices, backed by extensive documentation and community support on Microsoft's platforms and GitHub repositories.]]>
Semantic Kernel, an open-source SDK, streamlines the integration and orchestration of AI models, supporting a diverse range of languages like C#, Python, and Java. It offers a suite of tools for AI application development, including specialized plugins for extending functionalities and planners for automating complex workflows and improving efficiency. A key feature of Semantic Kernel is its focus on memory and context management, enhancing AI agent performance and understanding. The copilot feature stands out for its real-time user interaction capabilities and its seamless integration with existing systems. Aimed at facilitating the development of sophisticated AI-driven applications, Semantic Kernel provides comprehensive support for task automation, model integration, and responsible AI practices, backed by extensive documentation and community support on Microsoft's platforms and GitHub repositories.]]> Mon, 25 Mar 2024 03:21:19 GMT /slideshow/building-aidriven-apps-using-semantic-kernelpptx/266949383 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) Building AI-Driven Apps Using Semantic Kernel.pptx UdaiappaRamachandran Semantic Kernel, an open-source SDK, streamlines the integration and orchestration of AI models, supporting a diverse range of languages like C#, Python, and Java. It offers a suite of tools for AI application development, including specialized plugins for extending functionalities and planners for automating complex workflows and improving efficiency. A key feature of Semantic Kernel is its focus on memory and context management, enhancing AI agent performance and understanding. The copilot feature stands out for its real-time user interaction capabilities and its seamless integration with existing systems. Aimed at facilitating the development of sophisticated AI-driven applications, Semantic Kernel provides comprehensive support for task automation, model integration, and responsible AI practices, backed by extensive documentation and community support on Microsoft's platforms and GitHub repositories. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/buildingai-drivenappsusingsemantickernel-240325032119-e8692a68-thumbnail.jpg?width=120&height=120&fit=bounds" /> Semantic Kernel, an open-source SDK, streamlines the integration and orchestration of AI models, supporting a diverse range of languages like C#, Python, and Java. It offers a suite of tools for AI application development, including specialized plugins for extending functionalities and planners for automating complex workflows and improving efficiency. A key feature of Semantic Kernel is its focus on memory and context management, enhancing AI agent performance and understanding. The copilot feature stands out for its real-time user interaction capabilities and its seamless integration with existing systems. Aimed at facilitating the development of sophisticated AI-driven applications, Semantic Kernel provides comprehensive support for task automation, model integration, and responsible AI practices, backed by extensive documentation and community support on Microsoft's platforms and GitHub repositories.

Building AI-Driven Apps Using Semantic Kernel.pptx from Udaiappa Ramachandran

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0 AI-Plugins-Planners-Persona-SemanticKernel.pptx /slideshow/aipluginsplannerspersonasemantickernelpptx/266505122 ai-plugins-semantickernel-240226212056-71ba13e9
The presentation "Semantic Kernel" covers the Semantic Kernel, an open-source Software Development Kit (SDK) for AI model integration and agent development. It discusses key concepts like plugins, planners, personas, and co-pilots in AI applications, emphasizing their roles in task automation and AI orchestration. The presentation highlights features such as prompt engineering, AI memory management, and embedding storage for enhanced AI performance. It also outlines steps for building AI agents using Semantic Kernel, integrating AI models, and managing memory and context. Additionally, the importance of real-time assistance and user feedback in enhancing AI interactions is discussed, along with supported languages for the Semantic Kernel SDK.]]>
The presentation "Semantic Kernel" covers the Semantic Kernel, an open-source Software Development Kit (SDK) for AI model integration and agent development. It discusses key concepts like plugins, planners, personas, and co-pilots in AI applications, emphasizing their roles in task automation and AI orchestration. The presentation highlights features such as prompt engineering, AI memory management, and embedding storage for enhanced AI performance. It also outlines steps for building AI agents using Semantic Kernel, integrating AI models, and managing memory and context. Additionally, the importance of real-time assistance and user feedback in enhancing AI interactions is discussed, along with supported languages for the Semantic Kernel SDK.]]> Mon, 26 Feb 2024 21:20:56 GMT /slideshow/aipluginsplannerspersonasemantickernelpptx/266505122 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) AI-Plugins-Planners-Persona-SemanticKernel.pptx UdaiappaRamachandran The presentation "Semantic Kernel" covers the Semantic Kernel, an open-source Software Development Kit (SDK) for AI model integration and agent development. It discusses key concepts like plugins, planners, personas, and co-pilots in AI applications, emphasizing their roles in task automation and AI orchestration. The presentation highlights features such as prompt engineering, AI memory management, and embedding storage for enhanced AI performance. It also outlines steps for building AI agents using Semantic Kernel, integrating AI models, and managing memory and context. Additionally, the importance of real-time assistance and user feedback in enhancing AI interactions is discussed, along with supported languages for the Semantic Kernel SDK. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ai-plugins-semantickernel-240226212056-71ba13e9-thumbnail.jpg?width=120&height=120&fit=bounds" /> The presentation "Semantic Kernel" covers the Semantic Kernel, an open-source Software Development Kit (SDK) for AI model integration and agent development. It discusses key concepts like plugins, planners, personas, and co-pilots in AI applications, emphasizing their roles in task automation and AI orchestration. The presentation highlights features such as prompt engineering, AI memory management, and embedding storage for enhanced AI performance. It also outlines steps for building AI agents using Semantic Kernel, integrating AI models, and managing memory and context. Additionally, the importance of real-time assistance and user feedback in enhancing AI interactions is discussed, along with supported languages for the Semantic Kernel SDK.

AI-Plugins-Planners-Persona-SemanticKernel.pptx from Udaiappa Ramachandran

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0 DOTNET8.pptx /slideshow/dotnet8pptx/265016368 random-231230035303-d530930e
.NET 8 is poised to deliver significant advancements with features such as Primary Constructors for cleaner code, enhanced Garbage Collection for better memory management, and optimized JSON Serialization for efficient data handling. Performance is further bolstered by Fast Search, Dynamic Profile Guided Optimization (PGO), and Native AOT for faster runtime and startup. Time Abstraction offers refined time operations, while improved Cryptography and Compression with ZipFile support enhance security and data management. Immutable data structures are introduced with FrozenSet, and RegEx Code Generation promises more efficient pattern matching. Additionally, Redis Output Caching could enhance distributed caching mechanisms, Background Worker enhancements may improve asynchronous task execution, and Semantic Kernel suggests more intelligent code analysis capabilities. Collectively, these features aim to streamline development workflows and boost application performance in the .NET 8 framework.]]>
.NET 8 is poised to deliver significant advancements with features such as Primary Constructors for cleaner code, enhanced Garbage Collection for better memory management, and optimized JSON Serialization for efficient data handling. Performance is further bolstered by Fast Search, Dynamic Profile Guided Optimization (PGO), and Native AOT for faster runtime and startup. Time Abstraction offers refined time operations, while improved Cryptography and Compression with ZipFile support enhance security and data management. Immutable data structures are introduced with FrozenSet, and RegEx Code Generation promises more efficient pattern matching. Additionally, Redis Output Caching could enhance distributed caching mechanisms, Background Worker enhancements may improve asynchronous task execution, and Semantic Kernel suggests more intelligent code analysis capabilities. Collectively, these features aim to streamline development workflows and boost application performance in the .NET 8 framework.]]> Sat, 30 Dec 2023 03:53:03 GMT /slideshow/dotnet8pptx/265016368 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) DOTNET8.pptx UdaiappaRamachandran .NET 8 is poised to deliver significant advancements with features such as Primary Constructors for cleaner code, enhanced Garbage Collection for better memory management, and optimized JSON Serialization for efficient data handling. Performance is further bolstered by Fast Search, Dynamic Profile Guided Optimization (PGO), and Native AOT for faster runtime and startup. Time Abstraction offers refined time operations, while improved Cryptography and Compression with ZipFile support enhance security and data management. Immutable data structures are introduced with FrozenSet, and RegEx Code Generation promises more efficient pattern matching. Additionally, Redis Output Caching could enhance distributed caching mechanisms, Background Worker enhancements may improve asynchronous task execution, and Semantic Kernel suggests more intelligent code analysis capabilities. Collectively, these features aim to streamline development workflows and boost application performance in the .NET 8 framework. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/random-231230035303-d530930e-thumbnail.jpg?width=120&height=120&fit=bounds" /> .NET 8 is poised to deliver significant advancements with features such as Primary Constructors for cleaner code, enhanced Garbage Collection for better memory management, and optimized JSON Serialization for efficient data handling. Performance is further bolstered by Fast Search, Dynamic Profile Guided Optimization (PGO), and Native AOT for faster runtime and startup. Time Abstraction offers refined time operations, while improved Cryptography and Compression with ZipFile support enhance security and data management. Immutable data structures are introduced with FrozenSet, and RegEx Code Generation promises more efficient pattern matching. Additionally, Redis Output Caching could enhance distributed caching mechanisms, Background Worker enhancements may improve asynchronous task execution, and Semantic Kernel suggests more intelligent code analysis capabilities. Collectively, these features aim to streamline development workflows and boost application performance in the .NET 8 framework.

DOTNET8.pptx from Udaiappa Ramachandran

]]> 129 0 https://cdn.slidesharecdn.com/ss_thumbnails/random-231230035303-d530930e-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 AzureSynapse.pptx /slideshow/azuresynapsepptx/265016330 azuresynapse-231230034926-05137645
In the PowerPoint presentation about Azure Synapse, we begin by introducing Azure Synapse as an integrated analytics service, emphasizing its role in unifying big data and data warehousing. Key features such as unlimited information processing, querying of both relational and non-relational data, and integration with AI and BI capabilities are highlighted. The presentation delves into the architecture of Azure Synapse, illustrating how it interconnects with Azure Data Lake, Power BI, and Azure Machine Learning. We explore its robust data integration capabilities, including Azure Synapse Pipelines for efficient ETL processes. The discussion then moves to its prowess in analytics and big data processing, supporting various languages like T-SQL, Python, and Scala. The integration of Azure Synapse with AI and machine learning is underscored, showcasing its application in predictive analytics. Security features form a crucial part of the talk, emphasizing data protection and compliance aspects. Real-world use cases demonstrate Azure Synapse's practical applications in business settings. A comparative analysis with other data platforms highlights Synapse's unique benefits. The presentation concludes with guidance on getting started with Azure Synapse, followed by a summary, inviting audience questions and providing contact information for further engagement.]]>
In the PowerPoint presentation about Azure Synapse, we begin by introducing Azure Synapse as an integrated analytics service, emphasizing its role in unifying big data and data warehousing. Key features such as unlimited information processing, querying of both relational and non-relational data, and integration with AI and BI capabilities are highlighted. The presentation delves into the architecture of Azure Synapse, illustrating how it interconnects with Azure Data Lake, Power BI, and Azure Machine Learning. We explore its robust data integration capabilities, including Azure Synapse Pipelines for efficient ETL processes. The discussion then moves to its prowess in analytics and big data processing, supporting various languages like T-SQL, Python, and Scala. The integration of Azure Synapse with AI and machine learning is underscored, showcasing its application in predictive analytics. Security features form a crucial part of the talk, emphasizing data protection and compliance aspects. Real-world use cases demonstrate Azure Synapse's practical applications in business settings. A comparative analysis with other data platforms highlights Synapse's unique benefits. The presentation concludes with guidance on getting started with Azure Synapse, followed by a summary, inviting audience questions and providing contact information for further engagement.]]> Sat, 30 Dec 2023 03:49:26 GMT /slideshow/azuresynapsepptx/265016330 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) AzureSynapse.pptx UdaiappaRamachandran In the PowerPoint presentation about Azure Synapse, we begin by introducing Azure Synapse as an integrated analytics service, emphasizing its role in unifying big data and data warehousing. Key features such as unlimited information processing, querying of both relational and non-relational data, and integration with AI and BI capabilities are highlighted. The presentation delves into the architecture of Azure Synapse, illustrating how it interconnects with Azure Data Lake, Power BI, and Azure Machine Learning. We explore its robust data integration capabilities, including Azure Synapse Pipelines for efficient ETL processes. The discussion then moves to its prowess in analytics and big data processing, supporting various languages like T-SQL, Python, and Scala. The integration of Azure Synapse with AI and machine learning is underscored, showcasing its application in predictive analytics. Security features form a crucial part of the talk, emphasizing data protection and compliance aspects. Real-world use cases demonstrate Azure Synapse's practical applications in business settings. A comparative analysis with other data platforms highlights Synapse's unique benefits. The presentation concludes with guidance on getting started with Azure Synapse, followed by a summary, inviting audience questions and providing contact information for further engagement. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/azuresynapse-231230034926-05137645-thumbnail.jpg?width=120&height=120&fit=bounds" /> In the PowerPoint presentation about Azure Synapse, we begin by introducing Azure Synapse as an integrated analytics service, emphasizing its role in unifying big data and data warehousing. Key features such as unlimited information processing, querying of both relational and non-relational data, and integration with AI and BI capabilities are highlighted. The presentation delves into the architecture of Azure Synapse, illustrating how it interconnects with Azure Data Lake, Power BI, and Azure Machine Learning. We explore its robust data integration capabilities, including Azure Synapse Pipelines for efficient ETL processes. The discussion then moves to its prowess in analytics and big data processing, supporting various languages like T-SQL, Python, and Scala. The integration of Azure Synapse with AI and machine learning is underscored, showcasing its application in predictive analytics. Security features form a crucial part of the talk, emphasizing data protection and compliance aspects. Real-world use cases demonstrate Azure Synapse's practical applications in business settings. A comparative analysis with other data platforms highlights Synapse's unique benefits. The presentation concludes with guidance on getting started with Azure Synapse, followed by a summary, inviting audience questions and providing contact information for further engagement.

AzureSynapse.pptx from Udaiappa Ramachandran

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0 Vector Search using OpenAI in Azure Cognitive Search.pptx /slideshow/vector-search-using-openai-in-azure-cognitive-searchpptx/263646312 vectorsearchusingopenaiinazurecognitivesearch-231120030411-da8ab0b1
Discover the power of Vector Search using OpenAI in Azure Cognitive Search through a comprehensive .NET application tutorial. This presentation will delve into the intricacies of integrating Azure OpenAI with your .NET applications, focusing specifically on the creation and utilization of vector embeddings. Learn how to effectively harness the capabilities of Azure OpenAI for generating precise vector embeddings, which are crucial for enhancing search functionalities in your applications. We will explore the concept of Hybrid search, demonstrating how it combines traditional keyword search with the advanced vector search to provide more relevant and context-aware results. This session is designed to equip developers with the knowledge and skills needed to implement state-of-the-art search capabilities in their .NET applications, leveraging the cutting-edge AI and machine learning technologies provided by Azure OpenAI.]]>
Discover the power of Vector Search using OpenAI in Azure Cognitive Search through a comprehensive .NET application tutorial. This presentation will delve into the intricacies of integrating Azure OpenAI with your .NET applications, focusing specifically on the creation and utilization of vector embeddings. Learn how to effectively harness the capabilities of Azure OpenAI for generating precise vector embeddings, which are crucial for enhancing search functionalities in your applications. We will explore the concept of Hybrid search, demonstrating how it combines traditional keyword search with the advanced vector search to provide more relevant and context-aware results. This session is designed to equip developers with the knowledge and skills needed to implement state-of-the-art search capabilities in their .NET applications, leveraging the cutting-edge AI and machine learning technologies provided by Azure OpenAI.]]> Mon, 20 Nov 2023 03:04:11 GMT /slideshow/vector-search-using-openai-in-azure-cognitive-searchpptx/263646312 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) Vector Search using OpenAI in Azure Cognitive Search.pptx UdaiappaRamachandran Discover the power of Vector Search using OpenAI in Azure Cognitive Search through a comprehensive .NET application tutorial. This presentation will delve into the intricacies of integrating Azure OpenAI with your .NET applications, focusing specifically on the creation and utilization of vector embeddings. Learn how to effectively harness the capabilities of Azure OpenAI for generating precise vector embeddings, which are crucial for enhancing search functionalities in your applications. We will explore the concept of Hybrid search, demonstrating how it combines traditional keyword search with the advanced vector search to provide more relevant and context-aware results. This session is designed to equip developers with the knowledge and skills needed to implement state-of-the-art search capabilities in their .NET applications, leveraging the cutting-edge AI and machine learning technologies provided by Azure OpenAI. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/vectorsearchusingopenaiinazurecognitivesearch-231120030411-da8ab0b1-thumbnail.jpg?width=120&height=120&fit=bounds" /> Discover the power of Vector Search using OpenAI in Azure Cognitive Search through a comprehensive .NET application tutorial. This presentation will delve into the intricacies of integrating Azure OpenAI with your .NET applications, focusing specifically on the creation and utilization of vector embeddings. Learn how to effectively harness the capabilities of Azure OpenAI for generating precise vector embeddings, which are crucial for enhancing search functionalities in your applications. We will explore the concept of Hybrid search, demonstrating how it combines traditional keyword search with the advanced vector search to provide more relevant and context-aware results. This session is designed to equip developers with the knowledge and skills needed to implement state-of-the-art search capabilities in their .NET applications, leveraging the cutting-edge AI and machine learning technologies provided by Azure OpenAI.

Vector Search using OpenAI in Azure Cognitive Search.pptx from Udaiappa Ramachandran

]]> 261 0 https://cdn.slidesharecdn.com/ss_thumbnails/vectorsearchusingopenaiinazurecognitivesearch-231120030411-da8ab0b1-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 SecureAzureServicesUsingADAuthentication.pptx /UdaiappaRamachandran/secureazureservicesusingadauthenticationpptx secureazureservicesusingadauthentication-230920184934-c1493722
Key less access to Azure Services using AD Authentication using Managed Identity, User Managed Identity or Service Principal. Some samples include Cosmos DB, Azure Storage, Application Insight, Key Vault, etc.,]]>
Key less access to Azure Services using AD Authentication using Managed Identity, User Managed Identity or Service Principal. Some samples include Cosmos DB, Azure Storage, Application Insight, Key Vault, etc.,]]> Wed, 20 Sep 2023 18:49:34 GMT /UdaiappaRamachandran/secureazureservicesusingadauthenticationpptx UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) SecureAzureServicesUsingADAuthentication.pptx UdaiappaRamachandran Key less access to Azure Services using AD Authentication using Managed Identity, User Managed Identity or Service Principal. Some samples include Cosmos DB, Azure Storage, Application Insight, Key Vault, etc., <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/secureazureservicesusingadauthentication-230920184934-c1493722-thumbnail.jpg?width=120&height=120&fit=bounds" /> Key less access to Azure Services using AD Authentication using Managed Identity, User Managed Identity or Service Principal. Some samples include Cosmos DB, Azure Storage, Application Insight, Key Vault, etc.,

SecureAzureServicesUsingADAuthentication.pptx from Udaiappa Ramachandran

]]> 68 0 https://cdn.slidesharecdn.com/ss_thumbnails/secureazureservicesusingadauthentication-230920184934-c1493722-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 AzureOpenAI.pptx /slideshow/azureopenaipptx/258157236 azureopenai-230531130046-d4427980
Azure OpenAI Service provides REST API access to OpenAI's powerful language models, including the GPT-3, GPT-4, DALL-E, Codex, and Embeddings model series. These models can be easily adapted to any specific task, including but not limited to content generation, summarization, semantic search, translation, transformation, and code generation. Microsoft offers the accessibility of the service through REST APIs, Python or C# SDK, or the Azure OpenAI Studio.]]>
Azure OpenAI Service provides REST API access to OpenAI's powerful language models, including the GPT-3, GPT-4, DALL-E, Codex, and Embeddings model series. These models can be easily adapted to any specific task, including but not limited to content generation, summarization, semantic search, translation, transformation, and code generation. Microsoft offers the accessibility of the service through REST APIs, Python or C# SDK, or the Azure OpenAI Studio.]]> Wed, 31 May 2023 13:00:46 GMT /slideshow/azureopenaipptx/258157236 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) AzureOpenAI.pptx UdaiappaRamachandran Azure OpenAI Service provides REST API access to OpenAI's powerful language models, including the GPT-3, GPT-4, DALL-E, Codex, and Embeddings model series. These models can be easily adapted to any specific task, including but not limited to content generation, summarization, semantic search, translation, transformation, and code generation. Microsoft offers the accessibility of the service through REST APIs, Python or C# SDK, or the Azure OpenAI Studio. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/azureopenai-230531130046-d4427980-thumbnail.jpg?width=120&height=120&fit=bounds" /> Azure OpenAI Service provides REST API access to OpenAI's powerful language models, including the GPT-3, GPT-4, DALL-E, Codex, and Embeddings model series. These models can be easily adapted to any specific task, including but not limited to content generation, summarization, semantic search, translation, transformation, and code generation. Microsoft offers the accessibility of the service through REST APIs, Python or C# SDK, or the Azure OpenAI Studio.

AzureOpenAI.pptx from Udaiappa Ramachandran

]]> 2148 0 https://cdn.slidesharecdn.com/ss_thumbnails/azureopenai-230531130046-d4427980-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 OpenAI-Copilot-ChatGPT.pptx /slideshow/openaicopilotchatgptpptx/257180623 openai-copilot-chatgpt-230405195249-b673ef5b
ChatGPT (Chat Generative pre-defined transformer) is OpenAI's application that performs human like interactions. GitHub Copilot uses the OpenAI Codex to suggest code and entire functions in real-time, right from your editor. Deck contains more details about ChatGPT, AI, AGI, CoPilot, OpenAI API, and use case scenarios. ]]>
ChatGPT (Chat Generative pre-defined transformer) is OpenAI's application that performs human like interactions. GitHub Copilot uses the OpenAI Codex to suggest code and entire functions in real-time, right from your editor. Deck contains more details about ChatGPT, AI, AGI, CoPilot, OpenAI API, and use case scenarios. ]]> Wed, 05 Apr 2023 19:52:48 GMT /slideshow/openaicopilotchatgptpptx/257180623 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) OpenAI-Copilot-ChatGPT.pptx UdaiappaRamachandran ChatGPT (Chat Generative pre-defined transformer) is OpenAI's application that performs human like interactions. GitHub Copilot uses the OpenAI Codex to suggest code and entire functions in real-time, right from your editor. Deck contains more details about ChatGPT, AI, AGI, CoPilot, OpenAI API, and use case scenarios. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/openai-copilot-chatgpt-230405195249-b673ef5b-thumbnail.jpg?width=120&height=120&fit=bounds" /> ChatGPT (Chat Generative pre-defined transformer) is OpenAI's application that performs human like interactions. GitHub Copilot uses the OpenAI Codex to suggest code and entire functions in real-time, right from your editor. Deck contains more details about ChatGPT, AI, AGI, CoPilot, OpenAI API, and use case scenarios.

OpenAI-Copilot-ChatGPT.pptx from Udaiappa Ramachandran

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0 DiagnoseAndSolveproblems.pptx /slideshow/diagnoseandsolveproblemspptx/256578021 diagnoseandsolveproblems-230317001147-e6b6c3bc
Azure App Services Diagnose and Solve problems Health check Application Performance Flapping in autoscale Resiliency score report Pending requests in Queue Crash monitoring]]>
Azure App Services Diagnose and Solve problems Health check Application Performance Flapping in autoscale Resiliency score report Pending requests in Queue Crash monitoring]]> Fri, 17 Mar 2023 00:11:47 GMT /slideshow/diagnoseandsolveproblemspptx/256578021 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) DiagnoseAndSolveproblems.pptx UdaiappaRamachandran Azure App Services Diagnose and Solve problems Health check Application Performance Flapping in autoscale Resiliency score report Pending requests in Queue Crash monitoring <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/diagnoseandsolveproblems-230317001147-e6b6c3bc-thumbnail.jpg?width=120&height=120&fit=bounds" /> Azure App Services Diagnose and Solve problems Health check Application Performance Flapping in autoscale Resiliency score report Pending requests in Queue Crash monitoring

DiagnoseAndSolveproblems.pptx from Udaiappa Ramachandran

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0 MAUI.pptx /slideshow/mauipptx/256244831 maui-230306041816-bd7608ff
.NET Multi-platform App UI helps to build native, cross-platform desktop and mobile apps all in one framework.]]>
.NET Multi-platform App UI helps to build native, cross-platform desktop and mobile apps all in one framework.]]> Mon, 06 Mar 2023 04:18:16 GMT /slideshow/mauipptx/256244831 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) MAUI.pptx UdaiappaRamachandran .NET Multi-platform App UI helps to build native, cross-platform desktop and mobile apps all in one framework. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maui-230306041816-bd7608ff-thumbnail.jpg?width=120&height=120&fit=bounds" /> .NET Multi-platform App UI helps to build native, cross-platform desktop and mobile apps all in one framework.

MAUI.pptx from Udaiappa Ramachandran

]]> 197 0 https://cdn.slidesharecdn.com/ss_thumbnails/maui-230306041816-bd7608ff-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 CosmosDB.pptx /slideshow/cosmosdbpptx/256244743 cosmosdb-230306041149-ad2243e3
Fast, distributed NoSQL and relational database at any scale. This contains many features including Partition and Indexes, Data movement, Change Feed Integration (Azure Functions and Search), Consistency Models, Replication and Multi-write, etc.,]]>
Fast, distributed NoSQL and relational database at any scale. This contains many features including Partition and Indexes, Data movement, Change Feed Integration (Azure Functions and Search), Consistency Models, Replication and Multi-write, etc.,]]> Mon, 06 Mar 2023 04:11:49 GMT /slideshow/cosmosdbpptx/256244743 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) CosmosDB.pptx UdaiappaRamachandran Fast, distributed NoSQL and relational database at any scale. This contains many features including Partition and Indexes, Data movement, Change Feed Integration (Azure Functions and Search), Consistency Models, Replication and Multi-write, etc., <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cosmosdb-230306041149-ad2243e3-thumbnail.jpg?width=120&height=120&fit=bounds" /> Fast, distributed NoSQL and relational database at any scale. This contains many features including Partition and Indexes, Data movement, Change Feed Integration (Azure Functions and Search), Consistency Models, Replication and Multi-write, etc.,

CosmosDB.pptx from Udaiappa Ramachandran

]]> 36 0 https://cdn.slidesharecdn.com/ss_thumbnails/cosmosdb-230306041149-ad2243e3-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 .NET7.pptx /slideshow/net7pptx/256244583 random-230306040223-924cc342
.NET 7 is the latest version of .NET that was released in Nov 2022. .NET 7 ecosystem offers simplifications on development, high performance, and ultimate productivity.]]>
.NET 7 is the latest version of .NET that was released in Nov 2022. .NET 7 ecosystem offers simplifications on development, high performance, and ultimate productivity.]]> Mon, 06 Mar 2023 04:02:23 GMT /slideshow/net7pptx/256244583 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) .NET7.pptx UdaiappaRamachandran .NET 7 is the latest version of .NET that was released in Nov 2022. .NET 7 ecosystem offers simplifications on development, high performance, and ultimate productivity. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/random-230306040223-924cc342-thumbnail.jpg?width=120&height=120&fit=bounds" /> .NET 7 is the latest version of .NET that was released in Nov 2022. .NET 7 ecosystem offers simplifications on development, high performance, and ultimate productivity.

.NET7.pptx from Udaiappa Ramachandran

]]> 70 0 https://cdn.slidesharecdn.com/ss_thumbnails/random-230306040223-924cc342-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 AzureDevOps /slideshow/azuredevops-251824566/251824566 azuredevops-220520200441-7c0bd103
Azure DevOps provides developer services for allowing teams to plan work, collaborate on code development, and build and deploy applications. Azure DevOps supports a collaborative culture and set of processes that bring together developers, project managers, and contributors to develop software. It allows organizations to create and improve products at a faster pace than they can with traditional software development approaches.]]>
Azure DevOps provides developer services for allowing teams to plan work, collaborate on code development, and build and deploy applications. Azure DevOps supports a collaborative culture and set of processes that bring together developers, project managers, and contributors to develop software. It allows organizations to create and improve products at a faster pace than they can with traditional software development approaches.]]> Fri, 20 May 2022 20:04:41 GMT /slideshow/azuredevops-251824566/251824566 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) AzureDevOps UdaiappaRamachandran Azure DevOps provides developer services for allowing teams to plan work, collaborate on code development, and build and deploy applications. Azure DevOps supports a collaborative culture and set of processes that bring together developers, project managers, and contributors to develop software. It allows organizations to create and improve products at a faster pace than they can with traditional software development approaches. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/azuredevops-220520200441-7c0bd103-thumbnail.jpg?width=120&height=120&fit=bounds" /> Azure DevOps provides developer services for allowing teams to plan work, collaborate on code development, and build and deploy applications. Azure DevOps supports a collaborative culture and set of processes that bring together developers, project managers, and contributors to develop software. It allows organizations to create and improve products at a faster pace than they can with traditional software development approaches.

AzureDevOps from Udaiappa Ramachandran

]]> 263 0 https://cdn.slidesharecdn.com/ss_thumbnails/azuredevops-220520200441-7c0bd103-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 AzureCostManagementAndBilling /slideshow/azurecostmanagementandbilling/251824321 azurecost-220520190613-a656e437
Azure Billing features are used to review your invoiced costs and manage access to billing information. In larger organizations, procurement and finance teams usually conduct billing tasks. Billing is the process of invoicing customers for goods or services and managing the commercial relationship. Cost Management shows the organizational cost and usage patterns with advanced analytics. Azure Portal let you manage both Billings and cost management for all your accounts.]]>
Azure Billing features are used to review your invoiced costs and manage access to billing information. In larger organizations, procurement and finance teams usually conduct billing tasks. Billing is the process of invoicing customers for goods or services and managing the commercial relationship. Cost Management shows the organizational cost and usage patterns with advanced analytics. Azure Portal let you manage both Billings and cost management for all your accounts.]]> Fri, 20 May 2022 19:06:13 GMT /slideshow/azurecostmanagementandbilling/251824321 UdaiappaRamachandran@slideshare.net(UdaiappaRamachandran) AzureCostManagementAndBilling UdaiappaRamachandran Azure Billing features are used to review your invoiced costs and manage access to billing information. In larger organizations, procurement and finance teams usually conduct billing tasks. Billing is the process of invoicing customers for goods or services and managing the commercial relationship. Cost Management shows the organizational cost and usage patterns with advanced analytics. Azure Portal let you manage both Billings and cost management for all your accounts. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/azurecost-220520190613-a656e437-thumbnail.jpg?width=120&height=120&fit=bounds" /> Azure Billing features are used to review your invoiced costs and manage access to billing information. In larger organizations, procurement and finance teams usually conduct billing tasks. Billing is the process of invoicing customers for goods or services and managing the commercial relationship. Cost Management shows the organizational cost and usage patterns with advanced analytics. Azure Portal let you manage both Billings and cost management for all your accounts.

AzureCostManagementAndBilling from Udaiappa Ramachandran

]]> 118 0 https://cdn.slidesharecdn.com/ss_thumbnails/azurecost-220520190613-a656e437-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 https://cdn.slidesharecdn.com/profile-photo-UdaiappaRamachandran-48x48.jpg?cb=1733975285 Over 21 years of extensive experience in Executive, Architecture, Design, and Development of Client-Server, Web Applications, Cloud Computing (Azure, Amazon, and Google) and Mobile applications. I am an Organizer of New Hampshire Cloud .NET Cloud User Group and is often engaged as a speaker for the New England Area user group, boot camp, and code camp. udai.io https://cdn.slidesharecdn.com/ss_thumbnails/microsoftfabric-241212034834-07232907-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/microsoft-fabric-by-udaiappa-ramachandran-pptx/274005148 Microsoft Fabric by Ud... https://cdn.slidesharecdn.com/ss_thumbnails/random-241119215526-3e942019-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/net-aspire-presentation-by-udaiappa-ramachandran/273445380 .NET Aspire Presentati... https://cdn.slidesharecdn.com/ss_thumbnails/ai-kqlandsql-241102170707-d17c3513-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ai-driven-dynamic-data-querying-and-visualization-with-kql-and-sql/272963511 AI-Driven Dynamic Data...