Saravanan Ganesan
Microsoft MVP - AI & IoT, Assistant Consultant - IoT @ TCS
Chennai, India
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As a Microsoft AI & IoT MVP with over 11 years of experience, I specialize in developing and architecting IoT and AI applications. My expertise spans various edge devices, sensors, and Azure services like IoT Hub, Event Hub, Digital Twins, and Device Provisioning Services. In AI, I excel in multi-agent systems with Semantic Kernel and Azure AI services such as Document Intelligence, Content Safety, and Custom Vision. I've successfully implemented solutions across diverse domains, driving innovation and business success. I'm passionate about leveraging cutting-edge technologies to create impactful solutions
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Future Now: AI-Enhanced IoT Voice Assistant with GPT, Azure OpenAI, Raspberry Pi, and Sensors
Experience the future now with our AI-Powered IoT Voice Assistant! This cutting-edge marvel integrates GPT, Azure OpenAI, Raspberry Pi, and Sensors for a seamless and smart interaction. Elevate your tech experience and explore the convergence of innovation in a compact, voice-driven solution.
Elevate Microsoft Cost Management using Copilot for superior user experience
Utilize Copilot to enhance Microsoft Cost Management, elevating user experience through streamlined efficiency, enriched visuals, and improved functionality. Transform the interface for a superior, user-friendly interaction that optimizes cost management processes
Crafting Illumination from IoT Data in Microsoft Fabric
This session describes about how the IoT Data ingestion happening in the Microsoft Fabric.
Build a concise .NET 8 Chat Bot with Azure OpenAI, leveraging your data for seamless integration.
In this session, you will learn how to build an Azure OpenAI Chat Bot that allows you to work with your own data. You will be able to build the API, UI and ChatBot from scratch. You will be able to ask questions in natural language.
Azure IoT Operations - Unified Solution for IoT
Azure IoT Operations is a unified data plane for the edge. It's composed of a set of modular, scalable, and highly available data services that run on Azure Arc-enabled edge Kubernetes clusters. It enables data capture from various different systems and integrates with data modeling applications such as Microsoft Fabric to help organizations deploy the industrial metaverse.
Key takeways :
The people who attending this session will get some good insights about
1. Azure IoT Operations Architecture
2. How to use Azure Arc for Azure IoT Operations
3. Connect to Azure Cloud using MQTT , Event hubs etc .
4. Data processing
5. Visualize the processed data.
.net for IoT
In this session the attendees can able to know about .net IoT libraries , .net nano framework for embedded devices which they can use in their real world IoT projects and in this session they can also able to leverage the best practises of using .net in IoT based architectural system .
Smart factories: Optimizing operations, safety, and productivity with 5G and automation
In this session attendees will get insight about 5G technologies and their implementation in factories to upgrade a factory to a smart one using 5G technologies and Microsoft azure .
Perform image classification at the Azure IoT edge with Custom Vision Service
Azure IoT Edge can make your IoT solution more efficient by moving workloads out of the cloud and to the edge. This capability lends itself well to services that process a lot of data, like computer vision models. The Custom Vision Service lets you build custom image classifiers and deploy them to devices as containers. Together, these two services enable you to find insights from images or video streams without having to transfer all of the data off site first. Custom Vision provides a classifier that compares an image against a trained model to generate insights.
Getting Started with Azure IoT Services
In this session, you will create and examine an Azure IoT Hub and an IoT Hub Device Provisioning Service. This session covers below topics with hands on experience :
1.Explore Globally Unique Resource Naming Requirements
2. Create an IoT Hub using the Azure portal
3. Examine features of the IoT Hub service
4. Create a Device Provisioning Service and link it to your IoT Hub
5. Examine features of the Device Provisioning Service
AI Impact in Industrial IOT 4.0
Industrial Internet of things :
1. Introduction to Industry 4.0
2. Difference between Iot and IIoT .
3. Features of IIoT
4. Protocols used in IIoT
5. Gateways used in IIoT .
6. Different types of sensors in IIoT
7. Use cases used in IIoT .
8. AI impact at IIoT.
9. Conclusion.
Connect an IoT Device to Azure
In this session, the attendees will use the Azure portal to register a device ID with Azure IoT Hub and develop the corresponding simulated device app in Visual Studio Code. You will then insert the connection string (created by IoT Hub when you registered the device) into your simulated device code and run the app to test the connection and verify that telemetry is reaching IoT Hub as intended. The session includes the following exercises:
1. Create an Azure IoT Hub Device ID using the Azure portal
2. Create and Test a Simulated Device (C#)
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.NET Conf Manila, Philippines 2023 Sessionize Event
Saravanan Ganesan
Microsoft MVP - AI & IoT, Assistant Consultant - IoT @ TCS
Chennai, India
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