Room B

Azure Data and AI

Explore the latest in artificial intelligence, machine learning, Azure OpenAI, Microsoft Fabric, and data platform technologies on Azure.

Sessions

Data & AI Intermediate

Operational Telemetry for AI Agents: Measuring Reliability, Drift, and Real-World Behaviour.

Solution Architect - PwC

Raj Mallikarjuna

Solution Architect - PwC · PwC

Short Session

Data & AI Intermediate

Governed Enterprise AI Beyond Chatbots and Agents

Enterprise AI is rapidly evolving from simple copilots and chat interfaces toward systems that can reason, coordinate work across multiple enterprise platforms, and execute complex business processes. However, as organisations scale AI adoption, they face challenges around governance, control, auditability, capability reuse, and operational complexity. Reed is a governed enterprise AI execution platform that dynamically composes reusable capabilities, enterprise knowledge, and integrations into runtime execution workflows. Rather than relying on large numbers of persistent agents, Reed constructs bounded execution graphs at runtime, enabling AI-driven automation while maintaining governance, traceability, and operational control.

Marcelo Maidana

Managing Director PwC Engineering ·

Medium Session

Data & AI Advanced

The Rise of AI Teammates: Building Systems That Don't Just Answer, but Execute

We are entering a phase where AI is no longer limited to chat interfaces and simple assistance. The next wave is about AI systems that can plan, coordinate, and execute tasks across tools, data sources, and workflows. This session explores how organizations can design AI teammates autonomous or semi-autonomous agents that work alongside people, not just respond to prompts. We will look at how these systems are structured, how they interact with enterprise data and APIs, and what it takes to deploy them responsibly in real business environments. The focus is practical: architectures, lessons learned, and where this shift is already creating measurable impact. What attendees will walk away with : A practical view of how AI teammates differ from traditional copilots Real architectural patterns for agent-based systems Strategies for integrating agents into enterprise workflows Key considerations for trust, control, and governance Insights into where agentic systems are delivering value today

Asif Waquar

Cloud Solution Architect · Munich Re

Long Session

Data & AI Advanced

Build and Extend AI Agents with Microsoft Azure Foundry

Join us for a 45-minute intermediate-level session where you'll learn how to create and enhance custom AI agents using Microsoft Azure Foundry. This session will provide an overview of Foundry's role within the broader Copilot ecosystem and guide you through the process of building agents that can interact with your data, extend Microsoft Azure Foundry functionalities, and transform user interactions. Key Topics: 1. Understanding agents and Foundry's place in the ecosystem. 2. Methods for building agents (templates, conversational design, etc.) 3. Integrating knowledge sources into your agents 4. Adding actions and custom logic Customizing the chat interface 5. Publishing and extending your agents

Dharanidharan Balasubramaniam

Microsoft MVP - Business Applications & MCT ·

Hands on Workshops

Data & AI Advanced

The New Control Plane: Leading Security in an AI-Assisted World

Artificial Intelligence and Machine Learning are rapidly becoming embedded across security operations-shaping how threats are detected, identities are assessed, and data risks are surfaced. As security platforms increasingly rely on AI-assisted decision-making, leadership responsibility is shifting. In this session we explore where AI and ML genuinely amplify security controls-such as accelerating incident response, analysing identity risk signals, and identifying data exposure-and where they introduce new classes of risk.

Alessandro Cardoso

Microsoft Program Architect · Microsoft

Long Session

Data & AI Advanced

The Tenant Is the New Microservice

Many Azure SaaS systems start with a simple idea: add a tenant ID column, authenticate users with Microsoft Entra ID, and make sure every query filters by tenant. That works at prototype scale, but it quickly becomes fragile when customers need different compliance boundaries, data residency, encryption keys, network controls, feature flags, audit trails, and operational isolation. At that point, multi-tenancy stops being a database pattern and becomes a full architecture problem. This session explores how to design a production-grade multi-tenant SaaS architecture on Azure where each tenant is treated as a first-class operational boundary. We will go beyond the usual "shared database versus database-per-tenant" discussion and examine how tenant context should flow through identity, APIs, compute, data storage, secrets, observability, deployment, and incident response. The session will walk through a reference architecture using Microsoft Entra ID, Azure API Management, Azure Container Apps or Azure Functions, Azure SQL or Azure Database for PostgreSQL, Row-Level Security, Azure Key Vault, Azure App Configuration, Azure Monitor, Log Analytics, and Defender for Cloud. We will look at how to enforce tenant isolation at multiple layers instead of trusting application code alone, how to prevent cross-tenant data exposure, how to support noisy-neighbour controls, and how to build tenant-aware telemetry that makes support and incident investigation practical. Attendees will leave with a concrete design model for building safer and more scalable SaaS platforms on Azure. They will understand the trade-offs between shared, pooled, and isolated tenancy models, how to combine identity claims with database and API-level enforcement, and how to design for enterprise customer requirements without creating a separate snowflake environment for every tenant.

Renaldi Gondosubroto

Director · Cloudetica Solutions

Long Session

Data & AI Advanced

Agentic Workflows The Next Evolution of CI/CD

Agentic workflows are reshaping how engineering teams build, test and ship software. Traditional CI/CD pipelines gave us automation and consistency, but they were never designed for a world where AI can reason, adapt and act with context. This session explores how continuous AI represents the natural evolution of CI/CD, moving from static pipelines to intelligent systems that can analyse code, make decisions and orchestrate complex tasks across the development lifecycle. The talk is built around live demonstrations that show agentic workflows operating inside real repositories. Attendees will see how these workflows integrate with existing development practices, how they collaborate with engineers, and how they unlock new patterns for testing, refactoring, optimisation and operational resilience. The goal is to show that agentic automation is not a future concept but something teams can adopt today to realise immediate and meaningful benefits. This session offers a practical and forward looking view of what comes after traditional automation and how continuous AI will redefine the way modern teams deliver software.