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Oct 2 - Women in AI Virtual Event 2025-10-02 · 16:00 Hear talks from experts on the latest topics in AI, ML, and computer vision. Date and Time Oct 2 at 9 AM Pacific Location Virtual. Register for the Zoom. The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems. About the Speaker Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones. Managing Medical Imaging Datasets: From Curation to Evaluation High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment. We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities. Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact. About the Speaker Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia. Building Agents That Learn: Managing Memory in AI Agents In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time. About the Speaker Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops. Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments. About the Speaker Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.	Oct 2 - Women in AI Virtual Event
Oct 2 - Women in AI Virtual Event 2025-10-02 · 16:00 Hear talks from experts on the latest topics in AI, ML, and computer vision. Date and Time Oct 2 at 9 AM Pacific Location Virtual. Register for the Zoom. The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems. About the Speaker Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones. Managing Medical Imaging Datasets: From Curation to Evaluation High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment. We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities. Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact. About the Speaker Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia. Building Agents That Learn: Managing Memory in AI Agents In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time. About the Speaker Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops. Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments. About the Speaker Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.	Oct 2 - Women in AI Virtual Event
Oct 2 - Women in AI Virtual Event 2025-10-02 · 16:00 Hear talks from experts on the latest topics in AI, ML, and computer vision. Date and Time Oct 2 at 9 AM Pacific Location Virtual. Register for the Zoom. The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems. About the Speaker Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones. Managing Medical Imaging Datasets: From Curation to Evaluation High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment. We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities. Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact. About the Speaker Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia. Building Agents That Learn: Managing Memory in AI Agents In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time. About the Speaker Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops. Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments. About the Speaker Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.	Oct 2 - Women in AI Virtual Event
Oct 2 - Women in AI Virtual Event 2025-10-02 · 16:00 Hear talks from experts on the latest topics in AI, ML, and computer vision. Date and Time Oct 2 at 9 AM Pacific Location Virtual. Register for the Zoom. The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems. About the Speaker Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones. Managing Medical Imaging Datasets: From Curation to Evaluation High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment. We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities. Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact. About the Speaker Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia. Building Agents That Learn: Managing Memory in AI Agents In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time. About the Speaker Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops. Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments. About the Speaker Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.	Oct 2 - Women in AI Virtual Event
Oct 2 - Women in AI Virtual Event 2025-10-02 · 16:00 Hear talks from experts on the latest topics in AI, ML, and computer vision. Date and Time Oct 2 at 9 AM Pacific Location Virtual. Register for the Zoom. The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems. About the Speaker Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones. Managing Medical Imaging Datasets: From Curation to Evaluation High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment. We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities. Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact. About the Speaker Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia. Building Agents That Learn: Managing Memory in AI Agents In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time. About the Speaker Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops. Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments. About the Speaker Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.	Oct 2 - Women in AI Virtual Event
Oct 2 - Women in AI Virtual Event 2025-10-02 · 16:00 Hear talks from experts on the latest topics in AI, ML, and computer vision. Date and Time Oct 2 at 9 AM Pacific Location Virtual. Register for the Zoom. The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems. About the Speaker Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones. Managing Medical Imaging Datasets: From Curation to Evaluation High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment. We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities. Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact. About the Speaker Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia. Building Agents That Learn: Managing Memory in AI Agents In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time. About the Speaker Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops. Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments. About the Speaker Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.	Oct 2 - Women in AI Virtual Event
Oct 2 - Women in AI Virtual Event 2025-10-02 · 16:00 Hear talks from experts on the latest topics in AI, ML, and computer vision. Date and Time Oct 2 at 9 AM Pacific Location Virtual. Register for the Zoom. The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems. About the Speaker Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones. Managing Medical Imaging Datasets: From Curation to Evaluation High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment. We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities. Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact. About the Speaker Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia. Building Agents That Learn: Managing Memory in AI Agents In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time. About the Speaker Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops. Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments. About the Speaker Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.	Oct 2 - Women in AI Virtual Event
Managing AI agents - How Agents are reshaping how we work 2025-08-06 · 09:00 This session introduces the concept of AI agents—what they are, how they work, and why they matter. It explores the architecture of the agentic layer and different levels of autonomy that agents can exhibit. Participants learn about the significance of agents in the future of AI, identifying key features that make them powerful and adaptable. The session contrasts traditional automation with the dynamic nature of AI agents and examines how the role of human managers is evolving to accommodate hybrid teams of humans and agents. Through real-world examples, learners observe agentic AI in action and explore the strategic and operational challenges involved in managing such systems. Ethical considerations are front and center, as are concerns around data privacy and system security. Participants gain a practical understanding of how to build and deploy an agent, and the session concludes with a forward-looking discussion on the future of agentic systems and autonomous technologies.	Managing AI agents - How Agents are reshaping how we work
Managing AI agents - How Agents are reshaping how we work 2025-08-06 · 09:00 This session introduces the concept of AI agents—what they are, how they work, and why they matter. It explores the architecture of the agentic layer and different levels of autonomy that agents can exhibit. Participants learn about the significance of agents in the future of AI, identifying key features that make them powerful and adaptable. The session contrasts traditional automation with the dynamic nature of AI agents and examines how the role of human managers is evolving to accommodate hybrid teams of humans and agents. Through real-world examples, learners observe agentic AI in action and explore the strategic and operational challenges involved in managing such systems. Ethical considerations are front and center, as are concerns around data privacy and system security. Participants gain a practical understanding of how to build and deploy an agent, and the session concludes with a forward-looking discussion on the future of agentic systems and autonomous technologies.	Managing AI agents - How Agents are reshaping how we work
Global AI Bootcamp 2025-03-06 · 09:00 Global AI Bootcamp taking place in London. If you are an AI enthusiast and love learning more about Azure AI, then this event is perfect for you. 09:30 - 09:45 Welcoming (15 mins) 09:45 - 10:20 Speaker 1 - Opening Keynote - Amy Boyd - Senior Cloud Developer Advocate in AI/ML at Microsoft Session: To be Confirmed 10:20 - 10:45 Speaker 2 - Nathaniel Okenwa (He/Him) Developer Evangelist @twilio / Wannabe Dev-Rel Superstar / Loves: Coding Session: Preventing Skynet: Managing Trust with AI Agents In this talk, we’ll explore the practical dangers of AI agent infrastructure, discuss strategies to safeguard your systems, and provide a comprehensive safety checklist to help you build responsibly. Together, we can prevent the singularity. Remember: The future is not set. There is no fate but what we make for ourselves. 10:45 - 11:10 Speaker 3 - Rahul Basu - Senior Software Engineer at Warner Bros. Discovery Session: AI, Hollywood, and the Metaverse – A Synergistic Future Artificial intelligence is set to become the backbone of the metaverse, merging physical and digital realities into immersive experiences. This session explores how AI is transforming storytelling, character creation, and interactive content, revolutionizing the entertainment industry. From generative AI-powered narratives to real-time digital actors, we’ll examine how Hollywood and gaming companies are leveraging AI to redefine engagement. Drawing from his experience architecting Max, Warner Bros. Discovery’s global streaming platform, Rahul Basu will share insights into how AI is being used by top media companies to power next-gen content creation. Attendees will learn about AI-driven MLOps frameworks, synthetic media production, and the tools shaping the future of the entertainment industry. Whether you’re a developer, AI enthusiast, creative, or media executive, this session will provide practical knowledge and real-world use cases on how AI is reshaping the future of entertainment. 11:10 - 11:30 Break (15 mins) 11:30 - 12:15 Speaker 4 - Guy Gregory - Partner Solution Architect@Microsoft specialising in Azure AI. Session: Introducing Azure AI Agent Service In this session, we’ll introduce the Azure AI Agent Service, a set of feature-rich, managed capabilities that brings together all the models, data, tools, and services that partners and customers need to automate business processes of any complexity. Here’s what we’ll cover: Introducing the Azure AI Agent Service How to use the Azure AI Agent Service via SDK and Azure AI Foundry How does the Azure AI Agent Service compare to Chat Completions and Assistants API? ‘What’s in the box?’ Models, Tools, Actions, and Security Creating your Agent Project, and deploying your model Creating a basic agent Creating an agent with tools Advanced agents / Multi-agent examples Further reading and training 12:15 - 13:00 Speaker 5 - Manuel Sanchez Rodriguez Director - Azure App Modernisation at NTT DATA \\| Microsoft MVP Azure & AI Platform and Sergio Sisternes Senior Director - Head of Cloud Native Solutions at NTT DATA Session: The Age of Agents: Modernising Your Applications Join us for an exciting session, "The Age of Agents: Modernising Your Applications" with Azure and Azure OpenAI, where you'll discover how to transform and modernise your applications using the powerful capabilities of Azure and Azure OpenAI. Learn how intelligent agents can enhance performance and user experience, explore practical demonstrations of seamless integration, and get a comprehensive guide on overcoming common challenges. Whether you're a developer, IT professional, or tech enthusiast, this session will equip you with the knowledge and tools to stay ahead in the rapidly evolving tech landscape. Don't miss this opportunity to unlock your applications' full potential with Azure and Azure OpenAI. 13:00 - 14:00 Lunch Break ( 14:00 - 14:45 Speaker 6 - Clifford Agius - Freelance Developer that just so happens to fly an Airbus A320 around the Europe. Session: Could a Co-Pilot be an Aircraft Co-Pilot Welcome aboard, fellow travelers! In this talk, we’re strapping on our metaphorical aviator goggles and diving into the cockpit to explore the fascinating world of AI Co-Pilots and could they and more importantly should they be used in a real world flight deck? Buckle up, because this flight is about to get bumpy—in a purely intellectual turbulence kind of way. Using aircraft incidents and accidents we will see if an AI Co-Pilot would have saved the day... If you have a fear of flying maybe skip this one but I will say before you run out that none of the accidents are fatal so nothing to be scared of.... You don't need to be an AI specialist or even know anything about it, as we are just exploring the decisions pilots have to make in very limited timescales with limited information and throwing in some human factors to spice it up a bit. These are all good skills you can use in any decision making at work. The aim of this session is to hopefully show you that AI can help but should we use it? You will walk away knowing a bit about AI and have some fun geeking out on aviation. 14:45 - 15:10 Speaker 7 - Ayca Bas - Senior Cloud Developer Advocate@Microsoft Session: RAG and Knowledge Retrieval Fundamentals In this session, we are going to talk about what is Retrieval Augmented Generation and why It’s a Game Changer. We'll also learn the fundamentals of search indexing and talk about Vector Search 101: Revolutionizing Retrieval with AI. 15:10 - 15:55 Speaker 8 Dieter Gobeyn - Enterprise Integration Architect & Azure Cloud Solutions Architect Session: Azure OpenAI Unplugged: Real-World Lessons from My Latest GenAI Project Thinking of using Azure OpenAI in production? In this session, I’ll share detailed hard-earned lessons from my latest GenAI project, where I combined Azure OpenAI GPT-4 with data integration workflows. As both a solution architect and hands-on developer, I’ll walk you through what worked, what flopped, and what I wish I knew earlier. We’ll dive into managing costs, securing data, reducing hallucinations, fine-tuning prompts, and keeping token usage in check. Whether you’re exploring AI or scaling it, this session is packed with tips to help you avoid pitfalls and build smarter, more efficient AI solutions. 16:00pm - Closing Keynote Lee Stott - Principal Cloud Advocate Manager@Microsoft Session: Device Intelligence with SLM: A Path to Edge Deployment and Cloud Integration In today’s fast-paced tech landscape, many organisations aim to enhance device intelligence and responsiveness. This presentation highlights the crucial role of Small Language Models (SLM) in solving business problems and improving device capabilities. By fine-tuning SLM, you can achieve optimal performance and adaptability. We will compare SLM with Large Language Models (LLM), showing why SLM is better suited for organisation’s needs. The importance of customization in fine-tuning these models will be emphasized. A key focus will be on deploying these models on edge devices for real-time processing and decision-making, boosting device intelligence and positioning your organisation as an innovation leader. The presentation will provide a roadmap for implementation, from cloud development to deployment across platforms. Using Azure, organisations can ensure seamless integration and IP ownership, gaining a competitive edge. Discover how your organisation can leverage SLM to revolutionize its devices and lead in intelligent technology. By registering for this in person event you are agreeing to have your e-mail shared with building security for building access. Your privacy is important to us. This privacy statement explains the personal data Microsoft processes, how Microsoft processes it, and for what purposes. You can view our full privacy statement here: https://privacy.microsoft.com/privacystatement	Global AI Bootcamp

Oct 2 - Women in AI Virtual Event 2025-10-02 · 16:00

Hear talks from experts on the latest topics in AI, ML, and computer vision.

Date and Time

Oct 2 at 9 AM Pacific

Location

The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI

As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems.

About the Speaker

Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones.

Managing Medical Imaging Datasets: From Curation to Evaluation

High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment.

We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities.

Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact.

About the Speaker

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

Building Agents That Learn: Managing Memory in AI Agents

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time.

About the Speaker

Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops.

Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing

Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments.

About the Speaker

Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.

Oct 2 - Women in AI Virtual Event

Oct 2 - Women in AI Virtual Event 2025-10-02 · 16:00

Hear talks from experts on the latest topics in AI, ML, and computer vision.

Date and Time

Oct 2 at 9 AM Pacific

Location

Virtual. Register for the Zoom.

The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI

As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems.

About the Speaker

Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones.

Managing Medical Imaging Datasets: From Curation to Evaluation

High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment.

We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities.

Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact.

About the Speaker

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

Building Agents That Learn: Managing Memory in AI Agents

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time.

About the Speaker

Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops.

Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing

Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments.

About the Speaker

Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.

Oct 2 - Women in AI Virtual Event

Oct 2 - Women in AI Virtual Event 2025-10-02 · 16:00

Hear talks from experts on the latest topics in AI, ML, and computer vision.

Date and Time

Oct 2 at 9 AM Pacific

Location

Virtual. Register for the Zoom.

The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI

As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems.

About the Speaker

Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones.

Managing Medical Imaging Datasets: From Curation to Evaluation

High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment.

We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities.

Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact.

About the Speaker

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

Building Agents That Learn: Managing Memory in AI Agents

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time.

About the Speaker

Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops.

Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing

Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments.

About the Speaker

Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.

Oct 2 - Women in AI Virtual Event

Oct 2 - Women in AI Virtual Event 2025-10-02 · 16:00

Hear talks from experts on the latest topics in AI, ML, and computer vision.

Date and Time

Oct 2 at 9 AM Pacific

Location

Virtual. Register for the Zoom.

The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI

As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems.

About the Speaker

Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones.

Managing Medical Imaging Datasets: From Curation to Evaluation

High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment.

We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities.

Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact.

About the Speaker

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

Building Agents That Learn: Managing Memory in AI Agents

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time.

About the Speaker

Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops.

Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing

Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments.

About the Speaker

Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.

Oct 2 - Women in AI Virtual Event

Oct 2 - Women in AI Virtual Event 2025-10-02 · 16:00

Hear talks from experts on the latest topics in AI, ML, and computer vision.

Date and Time

Oct 2 at 9 AM Pacific

Location

Virtual. Register for the Zoom.

The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI

As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems.

About the Speaker

Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones.

Managing Medical Imaging Datasets: From Curation to Evaluation

High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment.

We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities.

Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact.

About the Speaker

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

Building Agents That Learn: Managing Memory in AI Agents

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time.

About the Speaker

Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops.

Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing

Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments.

About the Speaker

Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.

Oct 2 - Women in AI Virtual Event

Oct 2 - Women in AI Virtual Event 2025-10-02 · 16:00

Hear talks from experts on the latest topics in AI, ML, and computer vision.

Date and Time

Oct 2 at 9 AM Pacific

Location

Virtual. Register for the Zoom.

The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI

As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems.

About the Speaker

Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones.

Managing Medical Imaging Datasets: From Curation to Evaluation

High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment.

We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities.

Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact.

About the Speaker

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

Building Agents That Learn: Managing Memory in AI Agents

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time.

About the Speaker

Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops.

Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing

Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments.

About the Speaker

Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.

Oct 2 - Women in AI Virtual Event

Oct 2 - Women in AI Virtual Event 2025-10-02 · 16:00

Hear talks from experts on the latest topics in AI, ML, and computer vision.

Date and Time

Oct 2 at 9 AM Pacific

Location

Virtual. Register for the Zoom.

The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI

As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems.

About the Speaker

Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones.

Managing Medical Imaging Datasets: From Curation to Evaluation

High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment.

We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities.

Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact.

About the Speaker

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

Building Agents That Learn: Managing Memory in AI Agents

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time.

About the Speaker

Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops.

Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing

Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments.

About the Speaker

Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.

Oct 2 - Women in AI Virtual Event

Managing AI agents - How Agents are reshaping how we work 2025-08-06 · 09:00

This session introduces the concept of AI agents—what they are, how they work, and why they matter. It explores the architecture of the agentic layer and different levels of autonomy that agents can exhibit. Participants learn about the significance of agents in the future of AI, identifying key features that make them powerful and adaptable. The session contrasts traditional automation with the dynamic nature of AI agents and examines how the role of human managers is evolving to accommodate hybrid teams of humans and agents. Through real-world examples, learners observe agentic AI in action and explore the strategic and operational challenges involved in managing such systems. Ethical considerations are front and center, as are concerns around data privacy and system security. Participants gain a practical understanding of how to build and deploy an agent, and the session concludes with a forward-looking discussion on the future of agentic systems and autonomous technologies.

Managing AI agents - How Agents are reshaping how we work

Managing AI agents - How Agents are reshaping how we work 2025-08-06 · 09:00

This session introduces the concept of AI agents—what they are, how they work, and why they matter. It explores the architecture of the agentic layer and different levels of autonomy that agents can exhibit. Participants learn about the significance of agents in the future of AI, identifying key features that make them powerful and adaptable. The session contrasts traditional automation with the dynamic nature of AI agents and examines how the role of human managers is evolving to accommodate hybrid teams of humans and agents. Through real-world examples, learners observe agentic AI in action and explore the strategic and operational challenges involved in managing such systems. Ethical considerations are front and center, as are concerns around data privacy and system security. Participants gain a practical understanding of how to build and deploy an agent, and the session concludes with a forward-looking discussion on the future of agentic systems and autonomous technologies.

Managing AI agents - How Agents are reshaping how we work

Global AI Bootcamp 2025-03-06 · 09:00

Global AI Bootcamp taking place in London. If you are an AI enthusiast and love learning more about Azure AI, then this event is perfect for you.

09:30 - 09:45 Welcoming (15 mins)

09:45 - 10:20 Speaker 1 - Opening Keynote - Amy Boyd - Senior Cloud Developer Advocate in AI/ML at Microsoft

Session: To be Confirmed

10:20 - 10:45 Speaker 2 - Nathaniel Okenwa (He/Him) Developer Evangelist @twilio / Wannabe Dev-Rel Superstar / Loves: Coding

Session: Preventing Skynet: Managing Trust with AI Agents

In this talk, we’ll explore the practical dangers of AI agent infrastructure, discuss strategies to safeguard your systems, and provide a comprehensive safety checklist to help you build responsibly. Together, we can prevent the singularity. Remember: The future is not set. There is no fate but what we make for ourselves.

10:45 - 11:10 Speaker 3 - Rahul Basu - Senior Software Engineer at Warner Bros. Discovery

Session: AI, Hollywood, and the Metaverse – A Synergistic Future

Artificial intelligence is set to become the backbone of the metaverse, merging physical and digital realities into immersive experiences. This session explores how AI is transforming storytelling, character creation, and interactive content, revolutionizing the entertainment industry. From generative AI-powered narratives to real-time digital actors, we’ll examine how Hollywood and gaming companies are leveraging AI to redefine engagement. Drawing from his experience architecting Max, Warner Bros. Discovery’s global streaming platform, Rahul Basu will share insights into how AI is being used by top media companies to power next-gen content creation. Attendees will learn about AI-driven MLOps frameworks, synthetic media production, and the tools shaping the future of the entertainment industry. Whether you’re a developer, AI enthusiast, creative, or media executive, this session will provide practical knowledge and real-world use cases on how AI is reshaping the future of entertainment.

11:10 - 11:30 Break (15 mins)

11:30 - 12:15 Speaker 4 - Guy Gregory - Partner Solution Architect@Microsoft specialising in Azure AI.

Session: Introducing Azure AI Agent Service

In this session, we’ll introduce the Azure AI Agent Service, a set of feature-rich, managed capabilities that brings together all the models, data, tools, and services that partners and customers need to automate business processes of any complexity. Here’s what we’ll cover:

Introducing the Azure AI Agent Service
How to use the Azure AI Agent Service via SDK and Azure AI Foundry
How does the Azure AI Agent Service compare to Chat Completions and Assistants API?
‘What’s in the box?’ Models, Tools, Actions, and Security
Creating your Agent Project, and deploying your model
Creating a basic agent
Creating an agent with tools
Advanced agents / Multi-agent examples
Further reading and training

12:15 - 13:00 Speaker 5 - Manuel Sanchez Rodriguez Director - Azure App Modernisation at NTT DATA \| Microsoft MVP Azure & AI Platform and Sergio Sisternes Senior Director - Head of Cloud Native Solutions at NTT DATA

Session: The Age of Agents: Modernising Your Applications

Join us for an exciting session, "The Age of Agents: Modernising Your Applications" with Azure and Azure OpenAI, where you'll discover how to transform and modernise your applications using the powerful capabilities of Azure and Azure OpenAI. Learn how intelligent agents can enhance performance and user experience, explore practical demonstrations of seamless integration, and get a comprehensive guide on overcoming common challenges. Whether you're a developer, IT professional, or tech enthusiast, this session will equip you with the knowledge and tools to stay ahead in the rapidly evolving tech landscape. Don't miss this opportunity to unlock your applications' full potential with Azure and Azure OpenAI.

13:00 - 14:00 Lunch Break (

14:00 - 14:45 Speaker 6 - Clifford Agius - Freelance Developer that just so happens to fly an Airbus A320 around the Europe.

Session: Could a Co-Pilot be an Aircraft Co-Pilot

Welcome aboard, fellow travelers! In this talk, we’re strapping on our metaphorical aviator goggles and diving into the cockpit to explore the fascinating world of AI Co-Pilots and could they and more importantly should they be used in a real world flight deck? Buckle up, because this flight is about to get bumpy—in a purely intellectual turbulence kind of way. Using aircraft incidents and accidents we will see if an AI Co-Pilot would have saved the day... If you have a fear of flying maybe skip this one but I will say before you run out that none of the accidents are fatal so nothing to be scared of.... You don't need to be an AI specialist or even know anything about it, as we are just exploring the decisions pilots have to make in very limited timescales with limited information and throwing in some human factors to spice it up a bit. These are all good skills you can use in any decision making at work. The aim of this session is to hopefully show you that AI can help but should we use it? You will walk away knowing a bit about AI and have some fun geeking out on aviation.

14:45 - 15:10 Speaker 7 - Ayca Bas - Senior Cloud Developer Advocate@Microsoft

Session: RAG and Knowledge Retrieval Fundamentals

In this session, we are going to talk about what is Retrieval Augmented Generation and why It’s a Game Changer. We'll also learn the fundamentals of search indexing and talk about Vector Search 101: Revolutionizing Retrieval with AI.

15:10 - 15:55 Speaker 8 Dieter Gobeyn - Enterprise Integration Architect & Azure Cloud Solutions Architect

Session: Azure OpenAI Unplugged: Real-World Lessons from My Latest GenAI Project

Thinking of using Azure OpenAI in production? In this session, I’ll share detailed hard-earned lessons from my latest GenAI project, where I combined Azure OpenAI GPT-4 with data integration workflows. As both a solution architect and hands-on developer, I’ll walk you through what worked, what flopped, and what I wish I knew earlier. We’ll dive into managing costs, securing data, reducing hallucinations, fine-tuning prompts, and keeping token usage in check. Whether you’re exploring AI or scaling it, this session is packed with tips to help you avoid pitfalls and build smarter, more efficient AI solutions.

16:00pm - Closing Keynote Lee Stott - Principal Cloud Advocate Manager@Microsoft

Session: Device Intelligence with SLM: A Path to Edge Deployment and Cloud Integration

In today’s fast-paced tech landscape, many organisations aim to enhance device intelligence and responsiveness. This presentation highlights the crucial role of Small Language Models (SLM) in solving business problems and improving device capabilities. By fine-tuning SLM, you can achieve optimal performance and adaptability. We will compare SLM with Large Language Models (LLM), showing why SLM is better suited for organisation’s needs. The importance of customization in fine-tuning these models will be emphasized. A key focus will be on deploying these models on edge devices for real-time processing and decision-making, boosting device intelligence and positioning your organisation as an innovation leader. The presentation will provide a roadmap for implementation, from cloud development to deployment across platforms. Using Azure, organisations can ensure seamless integration and IP ownership, gaining a competitive edge.

Discover how your organisation can leverage SLM to revolutionize its devices and lead in intelligent technology.

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