Microsoft Build 2023, day 2: Important sessions that you can attend

The event continues on day 2. Here, we bring you a list of important sessions that you can attend

• Accelerate your data potential with Microsoft Fabric: The session will talk about the next generation of the Microsoft analytics and data platform – Fabric. Attendees will learn how to democratize data in your organization. “Bring your data engineers, scientists, and analysts together in new ways and unleash innovation in your organization with a class-leading open and governed solution that truly allows you to do more, with less,” a description reads.
• Application reliability with Azure Load Testing and Chaos Studio: This will be a Q&A session that will start at 4:30pm IST. suring the reliability of your services requires you to be able to test for the unexpected. With Azure Load Testing and Chaos Studio, your team can bring all your worst-case scenarios to life as drills.
• Azure Container Instances(ACI) use-cases and roadmap: Azure Container Instances (ACI) is a serverless general purpose container as a service offering. It is the fastest & easiest way to deploy a container to Azure. ACI provides great flexibility in resource allocation and offers a consumption-based billing model to help to keep costs low. ACI is a great fit for many workload types including batch processing, ML/AI training, and inferencing. The session will highlight customer use-cases, share product roadmap, and showcase demos of Virtual Nodes, and confidential containers on ACI. 
• Azure-enabled vision AI with NVIDIA AI Enterprise and Jetson: This session will cover a detailed conversation on hybrid vision AI and learn how developers can use a purpose-built suite of tools from NVIDIA, Microsoft, and Neal Analytics to more rapidly create intelligent video analytics solutions from edge to cloud. In this session, Microsoft will demo how NVIDIA’s DeepStream, TAO Toolkit, Triton Inference Server, and Jetson devices combined with Azure Cognitive Services and the Azure DeepStream Accelerator simplify deploying, updating, and managing vision AI use cases at scale.