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Topic

AI/ML

Artificial Intelligence/Machine Learning

data_science algorithms predictive_analytics

9014

tagged

Activity Trend

1532 peak/qtr
2020-Q1 2026-Q1

Activities

9014 activities · Newest first

Education is entering a new era where agents and AI are not just tools, but trusted collaborators. In this session, we’ll explore how Microsoft is pioneering agent innovation in the education space—bringing intelligence into everyday workflows for educators, staff and students. Learn how AI-powered agents can simplify classroom tasks, surface actionable insights, and connect seamlessly with learning systems. We’ll highlight real-world use cases, early innovations, and what’s ahead on the roadmap. Whether you’re in K-12, higher education, or edtech, you’ll walk away with a clear vision of how agent-driven AI can transform learning and teaching.

Unlock the potential of accelerated AI workflows in this hands-on workshop, where participants will learn how to rapidly deploy and integrate NVIDIA’s Nemotron NIM models using Microsoft Foundry’s powerful cloud-native tools. Through guided exercises, you’ll explore model provisioning, configuration, and optimization techniques that streamline AI deployment from prototype to production. Ideal for developers, data scientists, and AI engineers looking to leverage high-performance models in scalable cloud environments.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Mark Austin (AT&T) and John Maio (CSX) share how they are using data and AI to drive customer experience transformation and operational efficiency at scale. From AT&T’s enterprise-wide GenAI platform and data democratization to CSX’s modernization of its data estate and real-time analytics, this session, enabled by Infosys and Microsoft, explores how purposeful AI adoption turns complex operations into intelligent, adaptive enterprises..

On-device assistants are evolving from reactive helpers to proactive, self-reasoning agents, seamlessly integrating across devices and cloud platforms. To enable this shift, Intel AI Assistant Builder (Superbuilder) released v.2.0 at IFA 2025, as a reference design for multi-agent orchestration using the Model Context Protocol (MCP). Experience how this framework supports seamless import/export of agents and servers, enabling flexible orchestration and hybrid AI (local + cloud).

Take a motivational tour through the healthcare AI sample repository and set yourself up for success with multimodal AI for Health & Life Sciences. Dive into notebooks and sample solutions for problems like image search, cancer grading based on radiology and pathology images, outlier detection, and exam parameter classification. Deploy a model, plug it into an agentic flow, and evaluate it with human feedback. A hands-on journey from setup to deployment and refinement.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Experience the future of workforce development with AI Skills Navigator — our AI-powered skilling experience that helps learners everywhere build future-ready skills and organizations of all sizes accelerate industry transformation. Join us to see how AI Skills Navigator is redefining enterprise learning—making skilling more accessible, engaging, and impactful than ever.

Discover how Dynamo AI, a fast-growing AI security startup in financial services and government, uses Azure AI to confidently deploy generative AI at scale. Attendees will learn how Dynamo’s auditable guardrails, hallucination checks, and observability keep applications reliable and compliant, while gaining insights on building and deploying responsible AI solutions that balance innovation, trust, and speed.

Digital friction hinders workforce potential. In this session, TeamViewer demonstrates how real-time data, automation, and AI can eliminate friction at scale. You'll see how TeamViewer ONE turns remote support data into actionable insights, automatically deploying fixes to keep systems running smoothly. Learn how AI empowers IT to shift from reactive to proactive, and explore the future of agentic AI. Join us for a demo and discover how to enhance the digital employee experience.

Inventory Ops Agent, seamlessly integrated with Teams and Copilot, provides daily briefs, root cause analysis of insights, and Q&A to enhance planning activities. Planners can seamlessly switch between modes and gain intelligent insights without losing context. Start your day in any mode without worrying about transferring data or analysis—the solution manages the entire user journey!

Join us for a fast-paced, live theater session showcasing how IT admins can confidently manage agents and control costs using Copilot Control System (CCS). You’ll see how CCS empowers organizations to govern agent inventories, create billing policies, and gain visibility and control over usage and cost. Whether you're scaling agents across departments or fine-tuning consumption at the department level, this session will demonstrate how CCS brings clarity and control to your AI operations.

Accenture research shows 70% of customers spend more with companies that offer seamless experiences, reinforcing how the right blend of technology and empathy can turn every interaction into a moment of brand connection. Join us to explore how companies can turn cost centers into growth drivers using Microsoft Dynamics 365, Copilot Studio, intelligent IVR, and AI-guided workflows. Based on our work with 1-800-Flowers, we'll show how contact centers are building trust, relationships and growth.

As we enter the AI and agentic era, intuitive, interoperable product and commercial experiences are vital for durable success. Users expect these across all workflows. Join us to explore strategies for secure, profitable participation and unlocking network effects. Leaders from Nvidia, model companies, and agent platforms will share insights to help navigate this dynamic, interconnected ecosystem.

Brought to You By: •⁠ Statsig ⁠ — ⁠ The unified platform for flags, analytics, experiments, and more. AI-accelerated development isn’t just about shipping faster: it’s about measuring whether, what you ship, actually delivers value. This is where modern experimentation with Statsig comes in. Check it out. •⁠ Linear ⁠ — ⁠ The system for modern product development. I had a jaw-dropping experience when I dropped in for the weekly “Quality Wednesdays” meeting at Linear. Every week, every dev fixes at least one quality isse, large or small. Even if it’s one pixel misalignment, like this one. I’ve yet to see a team obsess this much about quality. Read more about how Linear does Quality Wednesdays – it’s fascinating! — Martin Fowler is one of the most influential people within software architecture, and the broader tech industry. He is the Chief Scientist at Thoughtworks and the author of Refactoring and Patterns of Enterprise Application Architecture, and several other books. He has spent decades shaping how engineers think about design, architecture, and process, and regularly publishes on his blog, MartinFowler.com. In this episode, we discuss how AI is changing software development: the shift from deterministic to non-deterministic coding; where generative models help with legacy code; and the narrow but useful cases for vibe coding. Martin explains why LLM output must be tested rigorously, why refactoring is more important than ever, and how combining AI tools with deterministic techniques may be what engineering teams need. We also revisit the origins of the Agile Manifesto and talk about why, despite rapid changes in tooling and workflows, the skills that make a great engineer remain largely unchanged. — Timestamps (00:00) Intro (01:50) How Martin got into software engineering  (07:48) Joining Thoughtworks  (10:07) The Thoughtworks Technology Radar (16:45) From Assembly to high-level languages (25:08) Non-determinism  (33:38) Vibe coding (39:22) StackOverflow vs. coding with AI (43:25) Importance of testing with LLMs  (50:45) LLMs for enterprise software (56:38) Why Martin wrote Refactoring  (1:02:15) Why refactoring is so relevant today (1:06:10) Using LLMs with deterministic tools (1:07:36) Patterns of Enterprise Application Architecture (1:18:26) The Agile Manifesto  (1:28:35) How Martin learns about AI  (1:34:58) Advice for junior engineers  (1:37:44) The state of the tech industry today (1:42:40) Rapid fire round — The Pragmatic Engineer deepdives relevant for this episode: • Vibe coding as a software engineer • The AI Engineering stack • AI Engineering in the real world • What changed in 50 years of computing — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email [email protected].

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Accelerating R&D and scientific breakthroughs with Microsoft Discovery

Imagine if every researcher could collaborate with a tireless team of intelligent, synergistic AI agents with the sole purpose of accelerated innovation. This is the vision of Microsoft Discovery, bringing agentic R&D to life by leveraging the latest innovations from Microsoft and the broader scientific ecosystem. Discovery implements a continuous and iterative R&D cycle where researchers can orchestrate a team of specialized AI agents not just for reasoning, but for conducting research itself.

Advanced capabilities and innovation of Azure Storage solutions

Explore the latest Azure Storage innovations engineered for every use case. From scaling inferencing with terabytes-per-second throughput to ensuring business continuity for mission-critical operations, Azure Storage solves diverse challenges with flexibility and reliability. Whether you’re modernizing legacy environments, optimizing Tier-0 workloads, or building next-generation AI applications, you’ll get practical guidance to transform and accelerate your cloud journey with Azure Storage.

Delivered in a silent stage breakout.

AI Operations to own the fleet, master the mission in Microsoft Foundry

Take command of your AI fleet! Discover how Observability in Foundry Control Plane gives you real-time visibility, ironclad governance, and the power to optimize every agent. If you run AI at scale, this is the session that will change how you monitor, optimize, and govern every agent, securely with Microsoft Foundry. If reliability and compliance matter, this session is your playbook.

Azure HorizonDB: Deep Dive into a New Enterprise-Scale PostgreSQL

Azure HorizonDB is Azure’s new fully managed PostgreSQL database for mission-critical workloads. Join engineering and product leaders to explore the architecture that enables enhanced scalability without sacrificing performance, ultra-fast failovers, and read replicas for constant availability. Learn how HorizonDB combines open-source Postgres with state-of-the-art Azure infrastructure, cutting-edge database innovation and advanced AI features to power next-generation applications.

Curious about BCPA? Join this small-group discussion to learn how we’re helping Microsoft partners collaborate, skill their teams, pursue joint opportunities, and scale their business with AI, Copilot, and more. Hear real stories of partner success, explore membership benefits, and discover how to be part of a growing community built for the future of work.

Connection Pods accommodate up to 15 people. Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Deploy Local AI Models in Enterprise with Windows ML

Windows ML is a new performance-first AI framework built into Windows to enable secure, on-device inferencing across CPU, GPU, and NPU. See how you can use various models with no cloud or extra infrastructure needed. Learn how Windows ML helps streamline deployment across diverse hardware tiers and manage dependencies to reduce your app size to deliver fast, private, and scalable AI experiences.