5:00 PM - 6:00 PM (UTC)

Unlock the full potential of your automation workflows by seamlessly integrating AI capabilities with Azure Logic Apps. In this session, you’ll learn how to automate and orchestrate complex business processes using powerful connectors such as Azure OpenAI for natural language processing, Azure AI Search for intelligent data retrieval, and Document Intelligence connectors for managing large-scale document handling. Join us for an interactive exploration of how these integrations can expedite the deployment of AI-powered workflows while upholding enterprise-grade governance and security. We’ll provide practical insights that allow you to drive innovation without disrupting your existing systems. What You’ll Learn: Integrating Azure OpenAI Models: Discover how to effortlessly incorporate Azure OpenAI models into your automation workflows with Logic Apps, enabling smarter interactions and insights. Utilizing Pre-built and Custom Connectors: Learn how to harness both pre-built and custom connectors to automate complex workflows effectively, maximizing efficiency and flexibility. Implementing AI-Enhanced Data Ingestion: Explore strategies for optimizing data ingestion and retrieval in enterprise applications through AI-enhanced techniques. Real-World Applications: Gain inspiration from success stories of organizations that have effectively integrated AI into their workflows with Logic Apps, showcasing their achievements and lessons learned.

5:00 PM - 6:00 PM (UTC)

As AI adoption accelerates, managing and scaling AI workloads securely has never been more critical. In this session, you’ll discover how the GenAI gateway capabilities in Azure API Management are purpose-built to manage machine learning models via APIs. Experience a unified control plane designed for seamless integration and governance. Explore how to address the challenges of scalability, security, and resource allocation while leveraging large language models (LLMs) for your development needs. Engage in dynamic discussions on how to enforce token limits, enhance performance with semantic caching, and ensure enterprise-grade security and compliance across your environments. This session empowers your teams to innovate confidently and with minimal overhead. What You’ll Learn: Efficiently Scaling AI Workloads: Uncover how to leverage the GenAI gateway capabilities in Azure API Management to effectively manage AI workloads, facilitating growth and adaptability. Implementing Token Management and Traffic Shaping: Learn the intricacies of enforcing token management, traffic shaping, and semantic caching for AI models, optimizing resource utilization. Enhancing Security and Governance: Explore robust strategies to enhance security and governance across AI APIs, ensuring your organization adheres to compliance standards while fostering innovation.