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    Speakers

    Agenda

    Tuesday September 09, 2025
    7:30am - 9:00amBreakfast
    9:00am - 10:20amWelcome & Keynote
    10:20am - 10:40amRefreshment Break
    10:40am - 11:30amKeynote
    11:30am - 1:10pmLunch
    1:10pm - 1:30pmProduct Demos
    1:30pm - 1:40pmRefreshment Break
    1:40pm - 2:00pmProduct Demos
    2:00pm - 2:20pmRefreshment Break
    2:20pm - 3:00pmBreakout Sessions
    3:00pm - 3:20pmRefreshment Break
    3:20pm - 4:00pmBreakout Sessions
    4:00pm - 4:20pmRefreshment Break
    4:20pm - 5:00pmBreakout Sessions
    5:00pm - 6:30pmWelcome Reception
    Wednesday September 10, 2025
    7:30am - 9:00amBreakfast
    9:00am - 10:20amWelcome & Keynote
    10:20am - 10:40amRefreshment Break
    10:40am - 11:30amKeynote
    11:30am - 1:10pmLunch
    1:10pm - 1:30pmProduct Demos
    1:30pm - 1:40pmRefreshment Break
    1:40pm - 2:00pmProduct Demos
    2:00pm - 2:20pmRefreshment Break
    2:20pm - 3:00pmBreakout Sessions
    3:00pm - 3:20pmRefreshment Break
    3:20pm - 4:00pmBreakout Sessions
    4:00pm - 4:20pmRefreshment Break
    4:20pm - 5:20pmClosing & Keynote
    6:00pm - 10:00pmEvening Event

    Keynotes

    Steve May
    Chief Technology Officer, Pixar

    Steve May is the Chief Technology Officer at Pixar Animation Studios, where he has led innovation for over 25 years. He oversees all studio technology, including software research and development, RenderMan and visual effects tools. Steve began at Pixar as a technical director on Toy Story 2 and helped pioneer character technology on Monsters, Inc., later serving as supervising technical director on Finding Nemo, Cars, Up and Brave. He is the founder and chair of the Alliance for OpenUSD and serves on the governing board of Disney Research Studios. A distinguished alumnus of Ohio State University, Steve is also a member of the Academy of Motion Picture Arts and Sciences.

    Presenting:

    Rosalyn Durant
    Executive Vice President of Programming & Acquisitions, ESPN

    Rosalyn Durant is Executive Vice President of Programming and Acquisitions at ESPN, where she leads strategy across media rights, ESPN+, ESPN International, Andscape and espnW. A 24-year Disney and ESPN veteran, Durant has held pivotal roles shaping college sports networks – including the launch of the ACC Network – and driving innovation in digital rights and programming. She previously led Disney Springs, water parks and ESPN Wide World of Sports, where she played a key role in the NBA’s 2020 “Bubble” restart. Recognized by Sports Business Journal, Savoy and CableFax, Durant is a champion of inclusive leadership and serves on Disney’s CEO Diversity and Inclusion Council and the T. Howard Foundation board.


    Cassie Kozyrkov
    Chief Executive Officer, Kozyr LLC

    Cassie Kozyrkov is the Chief Executive Officer of Kozyr and the founder of Decision Intelligence. As Google’s first Chief Decision Scientist, she helped lead its transformation into an AI-first company, personally training over 20,000 Googlers and influencing 500+ initiatives. Today, she advises global organizations like NASA, Meta and Gucci on AI strategy. A dynamic speaker with deep technical expertise and theater-trained charisma, Cassie has captivated audiences in 40+ countries, including at the United Nations and World Economic Forum. She’s a LinkedIn Top Voice, Forbes AI cover star and a celebrated author with millions of readers. Cassie holds degrees in economics, statistics, psychology and neuroscience.

    Presenting:

    Baris Sarer
    Consulting Principal, TMT Strategy & Analytics, Deloitte

    Baris is the Global Leader of Deloitte’s AI Practice for the Technology, Media & Entertainment and Telecom (TMT) industries. With over 20 years of experience, he advises C-suite executives on data-driven strategies and intelligent technology investments. Baris is a recognized thought leader, frequently contributing to industry forums and publications. He has led complex programs to scale AI, monetize data and maximize technology return on investment. Currently, he focuses on unlocking AI’s potential in the TMT sector. Before Deloitte, Baris held leadership roles in wireless communications companies across research and development, operations and sales, managing global projects and advising clients worldwide.

    Presenting:

    Matt Hull
    Vice President, Global DGX & AI Data Center Solutions Sales, NVIDIA

    Matt Hull serves as Vice President, Deep GPU Xceleration (DGX) & AI Data Center Solutions Sales at NVIDIA, with responsibility for global sales of the NVIDIA DGX AI system portfolio. Matt is also responsible for AI Data Center Solutions including DGX POD AI solutions, DGX-Ready Data Center partnerships and creating the market conditions to allow AI to thrive in the enterprise. Prior to joining NVIDIA in 2017, Matt spent 10 years at Hewlett-Packard and then Hewlett Packard Enterprise where he held various management roles in sales, product management and engineering. Prior to Hewlett-Packard, Matt held several management roles at Seagate Technology. Matt started his career as an executive recruiter.

    Presenting:

    Presentations

    Chief Technology Officer, Pixar
    Pixar by the Numbers: Toys, Tech and Tools with Chief Technology Officer Steve May

    Pixar Chief Technology Officer Steve May will explore 30 years of innovation at the studio, from Toy Story to the upcoming Hoppers. Along the way, he will reveal how data—in the form of pixels, particles and even individual hairs—has helped shape the studio’s storytelling.

    Consider: Sulley from Monsters, Inc. boasts 2.3 million simulated hairs; 10,297 balloons lift the house in Up; and each film typically generates more than 100,000 storyboards before any animation is produced. From these staggering numbers to the invisible data infrastructure behind every frame, learn how Pixar responds to creative challenges with technological solutions such as OpenUSD - where Pixar is a founding member of the Alliance for OpenUSD and Steve May is the initial Chairperson for the Alliance for OpenUSD - and how increasingly complex datasets and simulation models underpin recent advancements in stylized animation and cross-pipeline efficiencies.

    Chief Executive Officer, Kozyr LLC
    The Cognitive Advantage: Why Great Leaders Will Thrive in the AI Era

    As AI becomes more powerful, the real competitive advantage isn't in the technology—it's in the human mind. Cassie Kozyrkov, who spearheaded Google's AI-first transformation, inspires you to embrace the one thing AI can't replace: human judgment. In this engaging keynote, she challenges leaders to rethink their role in a world where AI delivers perfect answers in seconds. Cassie equips you with mental agility and decision-making frameworks needed to stay ahead, focusing on how to harness AI's potential without falling into the trap of thoughtless automation. Get ready to think faster and lead smarter.

    Consulting Principal, TMT Strategy & Analytics, Deloitte
    Vice President, Global DGX & AI Data Center Solutions Sales, NVIDIA
    AI Factory Unleashed: Creating Moments of Wonder

    Step right up to the intersection of imagination and innovation! In this dynamic session, Deloitte and NVIDIA pull back the curtain on the “AI Factory”—a cutting-edge platform that’s transforming how organizations harness data and artificial intelligence to create unforgettable experiences. Discover how the AI Factory, powered by Deloitte’s industry expertise and NVIDIA’s breakthrough technology, turns massive data streams into actionable insights, personalized content, and magical moments for audiences worldwide. Whether you’re passionate about technology, creativity or the magic of storytelling, this session will inspire you to imagine new possibilities and unlock the full potential of data and AI for transformative experiences.

    AI & Data Leader, EY
    The Four Futures of AI

    As we discuss how AI capabilities rapidly evolve and reshape markets, leaders face increasing pressure to respond and adapt to an uncertain future. Through careful analysis of emerging signals and trends, join EY’s AI and data leader, Traci Gusher, as she discusses four distinct scenarios for how AI could reshape the business landscape by 2030. While not predictions, these scenarios serve as tools for strategic thinking, helping leaders prepare for various possible outcomes.

    In this presentation, attendees will:
    - Receive an overview of the current AI market, as defined by constraint, growth, transform and collapse.
    - Explore how technology could shape the business landscape in 2030.
    - Prepare for the AI-centric landscape in 2030.

    Head of Sport Partnerships, EMEA, IBM
    Sr. AI Agents Strategy Leader, IBM
    Lights, Camera, Analytics: How Data and AI are Driving the Future of Business

    Whether you're gearing up for a Grand Prix or getting ready to shoot a blockbuster, success starts long before the lights go up. Just like in filmmaking, where storyboarding, casting and set design lay the foundation for a great scene, your own enterprise data and AI strategy lays the foundation for business success. In this session, we’ll explore how IBM partnered with Ferrari to enhance the F1 fan experience—using data and AI to deliver high-speed, high-impact engagement through the Ferrari app. We’ll also take you behind the scenes of IBM’s transformation as “client zero,” where we’re applying our own technologies internally to drive dramatic cost savings, streamline operations, and accelerate innovation. Join us to discover how a comprehensive data and AI strategy can help turn your organization into a blockbuster success—on the track, on the screen and in the boardroom.

    Product & Solutions Marketing Director, Couchbase
    Principal Solutions Engineer, Couchbase
    Why Your Database Matters More Than Ever in an AI World

    At the heart of every technology transformation is the need to deliver rich, engaging digital experiences for customers, partners and employees alike. To do this effectively, organizations must harness AI and data in a way that is agile, scalable and responsive to change. In this session, you will learn how an AI and data platform can help you:
    - Seamlessly serve customers from cloud to edge.
    - Develop better apps faster leveraging built-in capabilities like in-memory caching, auto-replication, real-time analytics, vector search, eventing, offline-first mobile sync, AI services and more.
    - Streamline operations to increase efficiency, reduce data sprawl and lower total cost of ownership.

    Join us to discover how the Couchbase unified database platform easily integrates your apps, data and AI models to perform under pressure, outmaneuver the competition and deploy with confidence.

    The Walt Disney Company / None
    Vice President, Decision Science Application Development, Sustainment & Operations, The Walt Disney Company
    Human Intelligence: Leading with Wisdom in an Algorithm-Driven World

    While advancing in an analytical career requires a solid and ever-evolving foundation of technical expertise, intelligence about human behavior--the ability to navigate emotional ambiguity, lead with empathy and exercise discernment--is essential. This session offers personal reflections from the journey of becoming and serving as an analytics leader, with stories that explore the emotional and interpersonal dimensions that shaped the speaker's leadership approach. Attendees will leave with practical insights on how to lead with clarity, courage and empathy in a world where human connection matters more than ever.

    The Walt Disney Company / None
    Director, Software Engineering, The Walt Disney Company
    Director, Technical Program Management, The Walt Disney Company
    Silos to Synergy: Unifying Data and Analytics for Operational Excellence

    Three years ago, the Technology Planning and Operations (TPO) team was tasked with delivering a unified data solution to improve an existing landscape of disconnected operational tools and processes. Since then, we have leveraged strong governance and insightful analytics to develop a strategy that centralizes data, integrates services, enables analytics and addresses inefficiencies, data silos and limited insights. This session explores challenges, technology choices and key lessons in governance, scalability and user adoption. Attendees will gain insights on breaking down data barriers, leveraging automation and creating a culture of data-driven decision-making. Join us to hear about our ongoing journey to enhance efficiency, collaboration and business impact through a unified data and analytics approach.

    The Walt Disney Company / None
    Sr. Business Analyst, The Walt Disney Company
    Sr. Manager, Business Intelligence, The Walt Disney Company
    Bubbling Up Insights Without Boiling the Ocean: Framing Data for General Audiences

    Regardless of technical or subject matter expertise, all analytics teams must surface insights to their partners, leadership and beyond in a way that is digestible and actionable. With audiences of varying degrees of familiarity with data, it's critical to highlight the big picture and ensure insights aren't lost in a slew of visualizations. Clear and concise takeaways enable teams to make data-driven decisions rather than swirl into data-definition discussions. This session dives into strategies on how to raise complex issues and insights to all audiences, from executives to business support teams, in easily absorbed formats with clear takeaways, as well as a focus on how to present effectively.

    The Walt Disney Company / None
    Director, Decision Science Transformation, The Walt Disney Company
    The Missing Lecture: What Stats 101 Forgot to Tell You

    Introductory statistics courses have remained largely unchanged for decades. This talk is the lecture that never made it into the syllabus: a critical look at the assumptions, rituals and routines that persist in statistical education, why some of these methods may be outdated, and what a more modern, thoughtful approach to inference might look like.

    Sr. Manager, Business Insights & Analytics, National Geographic
    Manager, Growth Strategy Subscription Services, National Geographic
    From Uncharted Waters to Actionable Charts: Navigating Data with a Reporter's Mindset

    The best analysts take a page from journalism -- asking tough questions, challenging assumptions and chasing the truth. Like good reporters, they avoid cherry-picking facts, consider all angles and don't skew the story.

    In this session, learn journalism-inspired lessons from the analytics team at National Geographic to make your data storytelling more relatable, understandable and fair. We'll show you how to uncover the story in the data, spot bias in how it's presented and deliver insights that inform, not just impress.

    At this 137-year-old institution, those same instincts guide editorial decisions, audience strategy and insight. In the end, we're all reporters -- some diving into data, others into the unknown.

    The Walt Disney Company / None
    Associate Lab Director, The Walt Disney Company
    Insights into Disney's Robotic Character Platform

    At Disney, we are redefining entertainment robotics from the ground up and are building artist-centric tools that provide creative control of dynamic character motion. In this talk, I will provide new insights into our robotic character platform that enables the rapid design of freely roaming robotic characters like our BDX Droids. I will highlight how our characters learn to imitate artist-specified animations with a combination of deep reinforcement learning and GPU-accelerated simulation. Moreover, I will show how we get our characters to perform highly challenging motions at the limit of hardware and demonstrate the first results of bringing engaging autonomous interactions to them.

    The Walt Disney Company / None
    Data Science Manager, The Walt Disney Company
    Pop Hits and Power Moves: Career Lessons from Pop Music

    Pop stars and their teams are the ultimate statisticians, business moguls and brand builders. They know how to command attention, create hits, collaborate effectively and build a loyal fan base. They analyze qualitative and quantitative data, stay on top of industry trends and balance art and science. These are the very skills successful data and analytics professionals must master to climb the career charts. Join us to explore the fun and fascinating parallels between the science, products and people of pop music and your own work. Learn practical takeaways and strategies from pop culture's most memorable moments and icons. Discover that the secret to mastering your day job is to channel your dream job.

    Content Director, Disney Institute
    Sr. Facilitator, Disney Institute
    Five Ways to Balance People and Business, Disney Style

    Leaders across all organizations need to balance both people and business. Many prioritize results over leading people, while Disney prioritizes both. This dual prioritization is critical to Disney's culture where employees, known as cast members, thrive. The cast deliver magical, guest-driven, story-based experiences which helps drive our business results. Not convinced? You'll get the business case on how to become more people-focused so your organization can shine. You'll hear powerful insights and immersive stories from Disney leaders about this approach. You'll leave with a new set of great ideas and impactful tips to help you take action.

    The Walt Disney Company / None
    Walt Disney Imagineering Research & Development Principal, The Walt Disney Company
    Beyond the Local Maximum: Overcoming Imposter Syndrome in Data Science

    Have you landed your dream data science job, but still wonder whether you're really good enough? You're definitely not alone. In this talk, we uncover the "local maximum" experience - excelling in your role but feeling the need to compare yourself to others. We'll explore the roots of self-doubt and why it surfaces in our high-achieving environments. Best of all, we'll offer practical tips to confront these doubts and build confidence. Whether you're new in your career, a seasoned analyst or leading a team, you'll discover how we can all feel a little more at home in our roles. Join us to explore overcoming imposter syndrome in data science.

    The Walt Disney Company / None
    Business Integration Manager II, The Walt Disney Company
    Research Systems Manager, The Walt Disney Company
    Andy's Toy Box: Sketching out Research Methodology

    As we learn and grow, the toys of the past become forgotten, irrelevant or out of touch with our needs. Or are they? Validity, reliability, sampling vs population, sampling techniques and weighting methodologies are still in play when conducting research. How do we use research to build on the past to drive future business decisions?

    In this session, we ensure sound decision making through research by: - Connecting research concepts (validity, reliability, sample and population) - Toying with sampling techniques to optimize data - Clawing into multiple weighting methodologies

    Join us as we provide you tools and techniques to enhance your research skills.

    The Walt Disney Company / None
    Sr. Manager, Modeling Simulation & Training Tools, The Walt Disney Company
    Director, Decision Science Transformation, The Walt Disney Company
    Simulation for Disney Parks and Experiences

    At Disney, simulation is used to analyze a variety of stages and aspects of the guests' vacation experience. Before the first guest rides a new theme park attraction, Disney works behind the scenes to build detailed simulation models that help to inform design decisions. In this presentation, we will discuss analytics utilized by Disney in the track design, development and maintenance of attractions and transportation systems--including simulations of the dynamics of ride vehicles and animatronics. In a broader context, we will also discuss the role of simulation in analytics applications supporting business decision making for Disney Experiences.

    Product Demos

    From Disconnected Data to Lifelong Subscriber: Orchestrating Streaming Journeys with AI

    Creating world-class streaming experiences today means delivering seamless, personalized journeys across platforms and devices. But behind every great digital experience lies a massive data challenge—and an even greater opportunity. As customer expectations rise and touchpoints multiply, data and analytics teams are becoming the orchestrators of memorable moments.

    In this session, you’ll hear how teams are using Amplitude’s AI-powered analytics platform to unify behavior across applications, accelerate decision making and unlock insights that scale delightful customer experiences. Learn how digital analytics, enhanced by AI, helps organizations move faster, experiment smarter and turn data into impact—from first tap to lifelong subscriber.

    The Tools are Alive (and Working When You’re Not Looking)

    Discover the new generation of AI agents, and how they keep working even when you’ve finished. Most dashboards wait for you to log in - ours don’t. Capgemini’s gen AI Strategic Intelligence System introduces a smarter way to manage enterprise performance. Designed to monitor key metrics, diagnose issues and recommend actions in real time, these AI agents operate behind the scenes, always on, always learning and always focused on business outcomes.

    Instead of static reports and siloed insights, you get proactive intelligence that moves with your business. Whether it’s supply chain, sales, IT or operations, these agents quietly identify what matters and bring it to the surface.

    This is more than automation - it’s intelligence that takes initiative, and its endlessly active. With Capgemini’s Gen AI Strategic Intelligence System, the tools really are alive and they’re already at work.

    Standardized Marketing Data: The Key to Smart, AI-Ready Enterprise Insights

    Marketing data is often overlooked, but it’s one of the most business-critical data sources in your organization. In this demo, see how Claravine helps enterprises standardize and scale marketing metadata—ensuring every asset, campaign and experience includes the accurate context needed for confident analysis, deeper insights and data that’s ready to power generative AI and machine learning.

    What you’ll learn:
    - How to structure marketing metadata for consistency across platforms
    - Ways to reduce manual cleanup and improve data readiness for AI/ML
    - How to connect the dots between assets, campaigns and outcomes, with less manual work

    Whether you’re responsible for data quality, modeling or reporting, this session will show how embedding persistent, purpose-built data relationships before data reaches your analytics and reporting platforms, can reduce manual cleanup, ensures consistency and accelerate the path to trustworthy, scalable insights.

    Limitless AI

    Using on-premises data as well as public cloud data, the Cloudera Hybrid Data Platform is designed for portable AI, and the data you already have. Cloudera delivers Data & AI to media & entertainment companies around the world, to leverage at-scale customer data to drive exceptional consumer experiences. Real-time recommendations, decisioning and targeting can make the customer feel listened to, as if they are receiving a white glove service.

    Building Strong Foundations for Data Intelligence: Unlocking Insights and Innovation with EPAM

    At EPAM, we believe that every great data innovation story starts with a solid foundation. In this session, we’ll share our hands-on approach to guiding clients—like you—through the essentials of building robust data platforms, including effective governance, scalable engineering and agile data pipelines. Before diving into advanced analytics and AI-fueled solutions, we work alongside your teams to ensure you have the infrastructure to extract business value immediately. Our focus is on making data genuinely helpful: turning information into personalized insights, optimizing operations and powering entirely new experiences for your audience. With our tailored accelerators, we help organizations quickly move from basic data readiness to real-time intelligence and future-state innovation. Whether your goal is operational excellence or crafting unforgettable fan moments, we’re excited to show how EPAM can partner with you to expand your data journey thoughtfully, not just through technology but through the creation of lasting value for your business and community.

    Globant CODA: AI-Native Suite for End-to-End Software Development

    Globant CODA is a comprehensive, agentic software development suite that redefines how enterprise applications are conceived, built and evolved. Designed with AI-native capabilities, CODA integrates low-code/no-code platforms, generative AI and intelligent assistants to support every phase of the software delivery lifecycle. From product and design to coding, testing and enterprise system evolution, CODA enables unmatched productivity and collaboration. It transforms audio and video into actionable user stories, automates wireframing and design alignment, streamlines code generation and debugging and converts manual QA into high-speed automated validation. At the enterprise level, CODA leverages GeneXus, Globant’s native low-code platform, to combine symbolic and generative AI—enabling continuous evolution without costly rewrites. With fully integrated agentic flows and a developer-centric experience, Globant CODA empowers teams to deliver scalable, future-proof solutions faster and with greater impact.

    Myridius Evoq: AI That Redefines Guest Experience Beyond Digital

    The guest experience revolution isn’t coming – it’s already here. Meet Myridius Evoq: AI that co-creates solutions that think, adapt and evolve like your sharpest team member. In this immersive demo, see how Evoq predicts guest needs before they arise, transforms messy data into instant insights, and delivers hyper-personalized experiences at scale – effortlessly.

    Watch real-time scenarios where Evoq turns every guest touchpoint into a seamless, anticipatory moment including AI-powered guest intelligence. Discover AI frameworks that simplify complexity, interactive data visualizations that expose hidden behavior patterns and AI-native development that accelerates innovation cycles. This isn’t just digital transformation – it’s your competitive edge in an AI-first world.

    Join us to see why industry leaders use Evoq's building blocks to amplify their transformation strategy. Guest experiences will never be the same.

    Agentic AI in Finance: Building Agents Using Databricks and LangGraph

    Join us for this session on how to build AI finance agents with Databricks and LangChain. This session introduces a powerful approach to building AI agents by combining a modular framework that integrates LangChain, retrieval-augmented generation (RAG) and Databricks' unified data platform to build intelligent, adaptable finance agents.

    We’ll walk through the architecture and key components, including Databricks Unity Catalog, ML Flow and Mosaic AI, involved in building a system tailored for complex financial tasks like portfolio analysis, reporting automation and real-time risk insights.

    We’ll also showcase a demo of one such agent in action - a Financial Analyst Agent. This agent emulates the expertise of a seasoned data analyst, delivering in-depth analysis in seconds - eliminating the need to wait hours or days for manual reports. The solution provides organizations with 24/7 access to advanced data analysis, enabling faster, smarter decision making.

    Powering Business Decisions with Smarter, Unified Enterprise Data

    See how SAP Business Data Cloud helps businesses turn their data into real, usable insights. In this demo, you’ll learn how it brings together all your business data in one place—making it easier to manage, understand and act on. Whether you're already using SAP or just getting started, this solution gives you a simple, cost-effective way to move forward. It works with your current tools and sets you up to use advanced technologies like AI more easily. With SAP Business Data Cloud, you can make faster, smarter decisions that match the way your business works.

    Unify Your Data, Model Faster with AI and Deliver Governed, Trusted Insights

    Strategy Mosaic is the universal intelligence layer for the AI era—your antidote to inconsistent data, slow analytics delivery, and skyrocketing BI complexity. Mosaic centralizes business definitions, policies, and metrics across your data estate to create a single, reusable semantic layer that accelerates performance, reduces costs, and builds AI-ready trust. With over 200 connectors and native support for SQL, DAX, and APIs, Mosaic plugs into every tool your teams already use—Tableau, Power BI, Excel and beyond.

    Mosaic Studio uses AI to make data modeling 10x faster, auto-generating hierarchies, metrics, and enrichments with zero manual effort. Plus, a high-performance engine ensures blazing-fast queries without blowing up your warehouse budget.

    Whether you're consolidating BI tools, preparing for GenAI, or just tired of arguing over whose metric is right—Mosaic brings clarity, speed, and governance to every insight. Build your semantic layer once. Use it everywhere. Scale with confidence. Welcome to Strategy Mosaic.

    An Introduction to Temporal & Durable Execution

    This presentation introduces Temporal, a platform that abstracts away the complexity of building resilient, distributed applications through a concept called Durable Execution. Traditional applications require extensive “plumbing” code to manage retries, state and failure recovery, often diverting effort from core business logic. Temporal simplifies this by allowing developers to define workflows that maintain state automatically and recover seamlessly from failures, removing the need for explicit error-handling logic or state machines. This presentation highlights use cases such as data pipelines and order processing, showcasing features like native retries, timers and human-in-the-loop interaction. Demonstrations will walk through happy paths, API failures and workflow recovery, emphasizing the platform’s ability to ensure reliable, fault-tolerant execution. Temporal integrates into existing development and deployment environments, offering open-source and cloud-hosted options. It enhances velocity, reliability and observability, enabling teams to focus on innovation rather than infrastructure.

    Practical AI Innovation Solutions: Digital Twins and Digital Humans in the Real World

    Explore how digital twins and digital humans are being used today to solve real business challenges. This demo experience showcases interactive, production-ready applications that merge virtual systems with real-world data and environments. We’ll highlight how these technologies can work together—responding, adapting, and interacting—to drive measurable outcomes in the media and entertainment industry.

    Previous Speakers

    Ethan Mollick
    Innovation Expert & Artificial Intelligence Thought Leader; Professor of Entrepreneurship, The Wharton School

    Ethan Mollick is an Associate Professor at the Wharton School of the University of Pennsylvania, where
    he studies and teaches innovation and entrepreneurship, and also examines the effects of artificial
    intelligence on work and education. His papers have been published in top journals and his book on AI, "Co-Intelligence," is a New York Times bestseller. His research is highly cited by other academics, and has been covered by CNN, The Wall Street Journal, and other leading publications.

    In addition to his research and teaching, Ethan is the Co-Director of the Generative AI Lab at Wharton,
    which builds prototypes and conducts research to discover how AI can help humans thrive while
    mitigating risks. Prior to his time in academia, Ethan co-founded a startup company, and he advises
    numerous organizations.

    Mollick received his PhD and MBA from MIT’s Sloan School of Management and his bachelor’s degree
    from Harvard University.

    Presented From Disruption to Opportunity: Embracing the AI Revolution


    Moritz Bächer
    Associate Lab Director of Disney Research

    Moritz Bächer is the Associate Lab Director of Disney’s Zurich-based robotics team, where he leads a strategic program focusing on the development of novel model- and learning-based tools for the design and control of believable robotic characters. His core expertise is the optimal design and control of both soft and rigid systems, using a combination of differentiable simulation and reinforcement learning. Prior to joining Disney, Moritz received his Ph.D. from the Harvard School of Engineering and Applied Sciences and his master’s degree from ETH Zurich.

    Presented Breathing Life into Disney’s Robotic Characters with Deep Reinforcement Learning


    Liv Boeree
    Science Communicator & Poker Champion

    A self-confessed nerd with a first class degree in astrophysics, Liv combined her science background and passion for games to become one of the most recognizable faces in professional poker. She was the number one ranked female player from 2014-2016, and holds both European Poker Tour and World Series of Poker championship titles after winning more than $4 million on the international circuit.

    Liv is also a keen philanthropist, and in 2014 co-founded Raising for Effective Giving (REG), a research and advisory non-profit that uses the philosophies and strategies of effective altruism to identify and raise money for the most globally impactful charities.

    Since retiring from professional poker in 2018, Liv is now focused on education, keen to inspire others with the rational thinking techniques she has learned through both poker and effective altruism.

    Presented Applying Poker Strategies to Business & Life


    Mark Moyou
    Sr. Data Scientist & Solutions Architect, NVIDIA

    Dr. Mark Moyou Senior Data Scientist at NVIDIA working with enterprise clients on AI strategy and deploying machine learning applications to production. He is the host of the Caribbean Tech Pioneers Podcast, The AI Portfolio Podcast and is the Director of the Optimized Ai Conference.

    Presented Human After All – AI as Force Multiplier for Human Ambitions


    Martin Kihn
    Sr. Vice President of Product Strategy, Salesforce

    Martin Kihn is senior vice president of strategy for Salesforce Marketing Cloud, working with global enterprises on data strategy and execution. Before joining Salesforce, Marty led the data-driven marketing practice as research vice president at Gartner, focusing on data integration and analytics. He was previously vice president and director of strategy and analytics at Digitas. Marty is widely known as a thought leader, speaker and frequent contributor to publications such as AdExchanger, ZDNet, Forbes and the New York Times. His first book, “House of Lies,” was the basis for a Showtime series. His latest book, releasing in September 2024 through Wiley publishing, is titled, “Customer 360: How Data, AI and Trust Change Everything.”

    Presented How AI + Data + CRM + Trust is Transforming Customer Engagement


    Mike Bechtel
    Chief Futurist, Deloitte Consulting LLP

    As chief futurist for Deloitte Consulting LLP, Mike and his team work to make sense of what’s new and next in tech. Their goal: Helping today’s leaders arrive at their preferred tomorrows slightly ahead of schedule. He also serves as an adjunct professor teaching corporate innovation at the University of Notre Dame. In 2013, Mike co-founded and served as managing director of Ringleader Ventures, a venture capital firm investing in early-stage startups that had (intentionally or not) built simple solutions to complex corporate challenges. Mike began his career in technology R&D where he was awarded 12 U.S. patents.

    Presented Human After All – AI as Force Multiplier for Human Ambitions


    Tim Brooks
    Managing Director and Chief AI Advisor, World Wide Technology

    Tim has 25 years of innovation experience at start-ups, early growth companies and established enterprise organizations. He specializes in data strategy, AI solutions and platform transformations that leverage data. Tim’s expertise includes digital and customer experience strategy, service design and partner ecosystem development.

    At World Wide Technology, Tim serves as co-founder and managing director of World Wide Technology’s consulting services and solution engineering practice, where he leads solution development activities for AI solutions and data strategy. Under his leadership, World Wide Technology has been recognized for seven consecutive years as NVIDIA’s AI Solutions Partner of the Year and has delivered nearly 100 working AI solutions to Fortune 500 customers during the last nine years while growing a team from four consultants to 350 data scientists, data engineers, consultants and delivery specialists.

    Presented From Experimentation to AI at Scale