Senior Executive Vice President and Chief Financial Officer, The Walt Disney Company
Christine M. McCarthy is Senior Executive Vice President and Chief Financial Officer of The Walt Disney Company and oversees the Company’s worldwide finance organization, which includes brand and franchise management, corporate alliances and partnerships, corporate real estate, corporate strategy and business development, enterprise controllership, enterprise technology, financial planning and analysis, global product and labor standards, investor relations, risk management, tax, and treasury.
Prior to becoming CFO of The Walt Disney Company in 2015, Ms. McCarthy served as Executive Vice President, Corporate Real Estate, Alliances and Treasurer, The Walt Disney Company. In that role, she was responsible for the enterprise-wide management of a variety of functions, including corporate finance, capital markets, financial risk management, international treasury, insurance, pension and investments, global cash management and treasury operations, and credit and collections. She also oversaw corporate alliances and the company’s global real estate organization, including development, portfolio management and facilities management. Prior to joining Disney in 2000, Ms. McCarthy was the Executive Vice President and Chief Financial Officer of Imperial Bancorp from 1997 to 2000. She held various finance and planning positions at First Interstate Bancorp from 1981 to 1996, and was elected Executive Vice President, Finance at First Interstate Bancorp in 1993.
Ms. McCarthy serves on the Board of Directors of The Procter & Gamble Company and FM Global. She is also a trustee of the Carnegie Institution for Science. Ms. McCarthy was previously on the boards of Phoenix House of California, Inc., the Los Angeles Philharmonic Association, UCLA Anderson, and Smith College. She is also a former trustee of the Westridge School in Pasadena, California. Ms. McCarthy has received numerous awards and has been named multiple times to Treasury & Risk’s “100 Most Influential People in Finance,” the Top 100 Irish American Business Leaders, and Business Insider’s “The 15 Most Influential Women in Finance.” In 2015, she was the recipient of Treasury Today’s Adam Smith “Woman of the Year” award. In 2016, she received Los Angeles Business Journal’s “Executive of the Year” award and was honored as one of the Entertainment Diversity Council’s “Top 50 Most Powerful Women in Entertainment.”
Ms. McCarthy completed her Bachelor’s Degree in Biological Sciences at Smith College and earned an MBA from the Anderson School at UCLA.Presenting:
Author, TV and Podcast Host, Professor in the Mathematics of Cities at the Centre for Advanced Spatial Analysis at University College London (UCL)
Hannah Fry is a Professor in the Mathematics of Cities at the Centre for Advanced Spatial Analysis at University College London (UCL) where she studies patterns in human behavior. Her research applies to a wide range of social problems and questions, from shopping and transport to urban crime, riots and terrorism. She is a mathematician, a best-selling author, an award-winning science presenter and the host of numerous popular podcasts and television shows.
Her critically acclaimed BBC documentaries include City in the Sky, Magic Numbers, The Joy of Winning, The Joy of Data, and the 2018 film Contagion - The BBC Pandemic (a massive citizen science experiment aimed to simulate what would happen if a deadly pandemic were to come to UK, a full two years before the predictions came true).
Hannah regularly writes for the New Yorker, and her book (Hello World - How to be human in the age of the machine) was shortlisted for several of the world’s most prestigious non-fiction awards, winning the 2020 Asimov Prize. Through her videos on the Numberphile Youtube channel, her podcasts with DeepMind and her long running radio series The Curious Cases of Rutherford and Fry, Hannah is known around the world for her joyful ability to bring mathematical ideas to life for audiences of all interests and abilities.Presenting:
Chief Product Officer, Hitachi Vantara
As the global head of products, Radhika Krishnan is responsible for the vision, strategy, delivery and business performance for all our products and solutions across data storage, data operations and analytics, as well as Hitachi's industry leading Lumada Internet of Things and industrial software.
Before joining Hitachi Vantara in September 2020, Radhika was executive vice president and general manager of software at 3D Systems and has previously held leadership roles at HP, Cisco, NetApp, Lenovo and Nimble Storage.
Radhika is a passionate advocate for diversity in tech. She has a bachelor's degree in electrical and electronics engineering from the Birla Institute of Technology and Science, Pilani and a master's in business administration degree from San Jose State University.Presenting:
Director of Engineering Technology and Analysis at Disney Design and Engineering (DPEP/FOS)
Michael leads a multidiscipline team which develops mathematical/physics models for transportation, ride and animatronic systems, custom software/network applications, and robotics. The responsibilities for this team includes the development of optimization algorithms, servo controllers, and interactive/immersive experiences. Michael’s background includes designs of numerous attractions at various Disney theme parks including Test Track®, Mission: SPACE®, Toy Story Mania!®, and Expedition Everest®. Michael also designed the velocity profiles at worldwide locations of The Twilight Zone Tower of Terror™. Prior to Disney, Michael developed precision guidance algorithms and aerospace sensor simulations for Texas Instruments. He is also a professional jazz/classical pianist. Michael earned his BSEE from Ohio Northern University and a MSEE from the University of Texas Arlington. Further studies included a preparatory scholarship at the Cleveland Institute of Music in classical piano performance.Presenting:
Cofounder and Chief Technology Officer, Braze
Jon Hyman is the cofounder and chief technology officer of Braze, customer engagement platform that delivers messaging experiences across push, email, in-app and more. He leads the charge for building the platform’s technical systems and infrastructure as well as overseeing the company’s technical operations and engineering team.
Prior to Braze, Jon served as lead engineer for the Core Technology group at Bridgewater Associates, the world’s largest hedge fund. There, he managed a team that maintained 80+ software assets and was responsible for the security and stability of critical trading systems. Jon met cofounder Bill Magnuson during his time at Bridgewater, and together they won the 2011 TechCrunch Disrupt Hackathon. Jon holds a B.A. from Harvard University in Computer Science.Presenting:
SVP of Growth, Braze
Spencer Burke is the SVP, Growth at Braze. He joined the Braze team in 2011 and has helped leading brands develop digital marketing and growth strategies. Previously, Spencer worked at PwC as a management consultant and has his Master's in Information Systems from the London School of Economics.Presenting:
VP of Product Strategy, Salesforce
Martin Kihn is SVP 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 VP at Gartner, focusing on data integration and analytics. He was previously VP and director of strategy and analytics at Digitas, specializing in marketing analytics. Marty is widely known as a thought leader, speaker and frequent contributor to publications such as AdExchanger, ZDNet, Forbes and the New York Times. He was Head Writer for MTV’s Pop-Up Video and his first book House of Lies was the basis for a Showtime series. His most recent book is titled Customer Data Platforms: Use People Data to Transform the Future of Marketing Engagement (Wiley).Presenting:
Chief Data Officer, Tableau, Salesforce
In her role as Chief Data Officer, Wendy manages Enterprise Data Strategy, Data Platforms & Services, Data Governance & Management Maturity, Data Risk and Data Literacy. Wendy and her team are charged with helping fuel data-driven business innovation, transformation and operational excellence across all areas of Tableau’s business.
Wendy joined Tableau after several years with parent company Salesforce, leading the Information Management & Enterprise Data Strategy. She also worked at Microsoft in both Bing/Ads and Azure driving data strategy and data platform as a service. Wendy has over 20 years of data, strategy, business applications, process automation and management experience -spanning multiple business segments. Wendy graduated from Oklahoma State University with a B.A. in European History.Presenting:
EVP Advertising and Customer Experience, Oracle
Rob Tarkoff leads the Oracle Advertising and Customer Experience (CX) product and go-to- market strategy for the advertising, marketing, sales, commerce and service product lines. His goal is to help companies succeed in providing their customers with the best experience across the front office.
Rob spent the past 15 years focused on customer experience, developing products and businesses for both large and early-stage companies; he joined Oracle in 2018. Previously, as president and CEO of Lithium Technologies, Rob created the leading software in online communities, leading to the company’s sale to Vista Equity Partners. Prior to that, he ran the Digital Enterprise business for Adobe, leading several key acquisitions.
Rob holds a BA from Amherst College magna cum laude and a JD from Harvard Law School.Presenting:
President and Chief Executive Officer, Conviva
Keith was appointed President and CEO in 2021 with more than a decade of driving company success at Conviva, most recently as Chief Strategy Officer. Prior to joining Conviva in 2008, Keith was Vice President of Business Development at Riverbed Technology, where he was instrumental in developing the industry leader’s go-to-market strategy and key partner relationships as the company went public.
Keith brings a wealth of leadership expertise and functional capabilities to the role. He has held a range of executive positions, from sales and marketing to corporate and business development, across a variety of industry-leading technology companies, as well as emerging startups.
Keith holds a Bachelor’s degree in Economics from San Diego State University.Presenting:
Global Director, Performance Driven Marketing, General Motors
Ajay Kapoor is a serial entrepreneur and award-winning corporate executive focused on driving transformation from startup to scaled enterprises. Currently an Executive at General Motors, where he leads Global Performance Driven Marketing reporting to the Global CMO. Encapsulated in the responsibility is creating the modern marketing machine with enterprise leadership of marketing analytics, martech, operations, privacy and digital services demand gen. The first half of his career were startups, cofounding multiple companies; while the last decade was spent in the consumer product goods space – Procter & Gamble, SharkNinja and Helen of Troy.
He has been recognized as P&G 40 Under 40 (2019), DBusiness 30 in Their 30’s (2022), and by the World Economic Forum as a Global Shaper.Presenting:
Andy Austin Ho
Andy Ho is a Principal who leads the Customer and Marketing practice within Deloitte’s Technology, Media and Telecommunications (TMT) Industry. He has 20 years of experience helping clients to develop and define corporate, business, and product launch strategies, and he leads the growth of Deloitte’s Trust offering within TMT.Presenting:
Analytics Consultant, DAS42
Chase Springer is a DAS42 Analytics Consultant with experience in BI modeling, ETL/ELT design and implementation, and software development. He has delivery experience in enterprise consulting projects related to data engineering, warehousing, solutions architecture and documentation. Prior to joining DAS42, Chase worked as a Systems Administrator, Developer and Support for a Salesforce enterprise deployment.Presenting:
Director, Advanced Analytics and Clean Room Solutions, Disney Advertising
Christine Chung is Director, Advanced Analytics and Clean Room Solutions at Disney Advertising. In her role, Christine oversees teams responsible for audience analysis and insights, as well as clean room integrations for advertising sales clients. Her teams create, analyze and optimize Disney Advertising Sales’ unique audience segmentation offering and work with our clients to understand these proprietary insights via clean room. Christine got her start at Disney in mobile games, and before that was in Actuarial Science.Presenting:
Director, Identity Innovation, Acxiom
Dustin is a data and identity management expert with experience in the design, implementation and execution of successful technology and marketing solutions. Dustin serves as director of innovation for Acxiom’s Real Identity™ portfolio where he offers actionable, strategic advice for the complex issues facing modern day marketers.Presenting:
Management Consulting Senior Manager, ESPN Edge lead – Accenture
Hayley Fiksen is a Senior Manager in Accenture’s Strategy & Consulting service, where she focuses on innovation to transform the future of customer experience and drive customer growth strategies in the Communications and Media Industry across North America. She currently leads Accenture’s Innovation partnership with ESPN Edge, where she has oversight of over 60 people, and brings together Marketing, Experience, Innovation and Technology, to explore new ways to consume sports powered by advanced technology.Presenting:
Executive Vice President and CMO, MicroStrategy
Hugh Owen is Executive Vice President and CMO of MicroStrategy. He is responsible for global marketing and education. He spends his time helping MicroStrategy's customers, finding new customers, while helping the company change the world. In 21 years at MicroStrategy he’s worked in roles in product marketing, product management and product support. Hugh received a Bachelor's of Science (HONS) in Business from The University of Bath, England. He previously worked in the UK at HSBC and Kimberly Clark.Presenting:
Director of Business Development and Strategy – Content, Verizon
Jake Cohen is the Director of Business Development and Strategy for Verizon's Content organization. In this role, he helps lead Verizon's partnership efforts across the sports, media and entertainment space to utilize content as an asset for Verizon consumers, solidifying their position as one of the largest direct to consumer distribution platforms in the US. Jake also works to develop and co-create NextGen content experiences with Verizon partners, that drive 5G adoption, showcase the art of the possible and meet the needs of the modern day sports fan.Presenting:
VP Product Marketing, mParticle
James is the Vice President of Product Marketing at mParticle, the leading customer data platform provider. A trusted partner among renowned consumer brands such as AirBnB, Spotify, Venmo and The Bleacher Report, the mParticle platform has grown to manage over 1 billion mobile users each month. James leads the team responsible for all things go-to-market strategy, across all of mParticle’s product lines.Presenting:
Principal Consultant, DAS42
Jeff Springer is a DAS42 Principal Consultant with extensive experience in solutions architecture, data warehousing, BI, analytics, systems design and new venture management. He has delivery and management experience in enterprise consulting projects related to cloud migration, Snowflake, GCP, AWS, Airflow, Databricks and Looker implementations. He has particular expertise in Snowflake and data warehousing, data engineering using Python and Airflow, business intelligence and Looker, solutions design and architecture, and training and education.Presenting:
Solution Advisor, Global Center of Excellence Planning & Analysis, SAP
Having 17 years of experience in data and analytics, Jon has supported various roles including product support, presales and solution management with SAP’s on-premise business intelligence, mobile and cloud-based technologies. Currently as a member of SAP’s Global Center of Excellence, he is responsible for driving customer success of SAP’s planning and analytics solutions. Specializing in the value of modern financial planning combined with analytics and insight, he is focused on driving growth for organizations across various industries and lines of businesses.Presenting:
Director, Strategic Account Technology Strategy, Microsoft
Kelli Coleman is a Director of Strategic Account Technology at Microsoft and leads Microsoft’s partnership with ESPN Edge. As a passionate sports fan, she specializes in innovation and emerging technology with Media & Entertainment customers globally, providing thought leadership in topics such as analytics, artificial intelligence, machine learning, sustainability, metaverse, and accessibility.Presenting:
Vice President, Sports Business Development & Innovation, ESPN
Kevin Lopes is the Vice President, Sports Business Development & Innovation at ESPN, where he leads the ESPN Edge Innovation Center, and identifies and evaluates potential third-party opportunities in advanced technology initiatives like NFT’s and digital immersive development.
Lopes has been with ESPN for 14 years, spending his first 10 years on the programming team where he had been responsible for scheduling and operational oversight of WatchESPN & ESPN3, including 15k+ live digital events, digital collegiate acquisitions and esports programming acquisitions and strategy.
In 2015, Lopes won a Sports Emmy for his contributions to the ESPN 2015 College Football MegaCast.Presenting:
Kjell Carlsson, Ph.D.
Head of Data Science Strategy & Evangelism, Domino Data Lab
Kjell Carlsson is the head of data science strategy and evangelism at Domino Data Lab. Previously, he covered AI, ML, and data science as a Principal Analyst at Forrester Research where he wrote reports on AI topics ranging from computer vision, MLOps, AutoML, and conversation intelligence to augmented intelligence, next-generation AI technologies and data science best practices. He has spoken in countless keynotes, panels and webinars, and has been frequently quoted in the media. Carlsson received his Ph.D. in Business Economics from the Harvard Business School.Presenting:
VP, The Knowledge Lab, Neustar, a TransUnion Company
Marc Vermut, VP, The Knowledge Lab, is a marketing strategy, measurement, data and analytics executive with 20+ years’ experience across the retail, technology, telecommunications and entertainment sectors. Marc is responsible for driving thought leadership and innovation across Neustar’s Marketing Solutions identity, segmentation, activation and measurement offerings, as well as delivering strategic insights that help brand leaders make better, more data-driven, marketing investment decisions.Presenting:
VP of Product, Dremio
Mark is a VP of Product at Dremio and leads a team responsible for roadmap planning, competitive analysis, analyst relations, technology advocacy and go-to-market strategy with a focus on positioning, messaging & growth. In this role he works on all phases of product development from idea to general availability.Presenting:
Director, Audience Modeling and Data Science, Disney Advertising
Nick Winfrey is Director, Audience Modeling and Data Science, Disney Advertising. In this role, Winfrey oversees groups responsible for data science and data strategy for advertising sales, covering Disney's portfolio of linear, streaming, digital and social properties. The teams are responsible for creating and driving innovative solutions focused on audience segmentation, data activation and clean room capabilities underscored by Disney's proprietary Audience Graph. Winfrey previously worked for the Federal Bureau of Investigation and Federal Reserve, and graduated from the University of San Diego.Presenting:
Chief Customer Officer, Habu
As Habu's Chief Customer Officer, Ted oversees the company's customer engagements end-to-end, starting with solution design and continuing all the way through implementation and value delivery. Habu is redefining how companies work with data - building software that puts privacy first and delivers on business outcomes. Ted leads Habu's pre-sales Solution Engineering team, as well as its post-sale Customer Success and Analytics functions. He brings over a decade of experience advising the world's leading brands on how they can better leverage data and technology. Based in New York City, Ted is always eager to brainstorm and problem solve with customers, partners and prospects.Presenting:
Vice President, Analytics Center of Excellence, SAP
Tom Rabbitt has over 25 years of experience delivering global finance, enterprise performance management and business intelligence solutions to organizations of every size. He has held various leadership roles at leading technology companies including Hyperion, Microsoft and SAP in product design and development, solution implementation and project management, emerging markets, presales and presales management, sales and sales management and many more.Presenting:
Field CTO, Global Sales Engineering, Snowflake
As a Snowflake Field CTO in the Global Sales Engineering organization, Vinay is responsible for promoting adoption of the Data Cloud and synthesizing customer input to guide product direction.
Over a 25-year career leading engineering and field teams in early stage and established data technology companies, Vinay has remained close to the pulse of the customer. He holds 15 software patents in distributed systems, recovery protocols, fault detection and replication. Bringing technology and solutions to market that deliver lasting customer value is his passion.Presenting:
Managing Director, Deloitte
Wenny is a Managing Director in Deloitte's Technology, Media & Entertainment practice with 20+ years of client-side experience at various entertainment companies. Focused on consumer strategy, she has extensive knowledge driving marketing initiatives that yield growth through insights, technology, innovation and experiences.Presenting:
Principal Software Engineer. Disney Parks, Experiences & Products
Andrew Wright is thrilled to have another opportunity to present at DDAC. As a principal software engineer of emerging technology, Andrew focuses on helping teams make better decisions through improved data engineering and machine learning practices. In his 15 years with the company, he has also managed analytic teams focused on marketing, operations, and commercial activities. Prior to joining Disney, Andrew worked in financial services and consulting firms, where he learned the importance of managing with empathy. Andrew holds an undergraduate degree in Foreign Affairs, as well as an MBA and a Master's of Applied Science. He lives in Southern California with his partner and their retired, rescue greyhound.Presenting:
Professor, University of Toronto
Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare, and Professor of Marketing, at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, and a Research Associate at the National Bureau of Economic Research. A former Senior Editor at Marketing Science, his research focuses on the opportunities and challenges of the digital economy. Avi received his Ph.D. in economics from Northwestern University. He co-authored the bestselling book Prediction Machines: The Simple Economics of Artificial Intelligence. His next book, Power & Prediction: The Disruptive Economics of Artificial Intelligence, will be released by Harvard Business Review Press in November 2022.Presenting:
VP, Decision Science Application Development & Operations, The Walt Disney Company
During her tenure at Disney, Cara has provided decision science leadership for the development of end-to-end analytical solutions that deliver advanced pricing, inventory control, forecasting and marketing capabilities to business segments across The Walt Disney Company. These solutions empower decision makers by embedding techniques from statistics, optimization, simulation and machine learning into applications that support users for scalable decision making. Prior to joining Disney in 2010, Cara worked as a systems engineer in the defense industry. She holds an M.S. in Operations Research from Georgia Institute of Technology and a Ph.D. in Industrial Engineering from Iowa State University.Presenting:
Sr. Manager, Digital Analytics, Disney Parks, Experiences & Products
Chad Cooper loves a good story. With over 20 years of experience in digital analytics and digital optimization, Chad now leads a team of brilliant analysts as the Sr. Manager of Digital Analytics supporting Disney Signature Experiences. His career experience includes working with The E.W. Scripps Company, Gannett, as well as globally recognized hotel and entertainment companies. Chad earned his Bachelor of Arts from the University of Tennessee, an MBA from Stetson University, and is currently completing his EDBA at Rollins College.Presenting:
Associate Professor, Department of Economics, Boston University
Chiara is an Assistant Professor in the Economics Department at Boston University. She obtained a Ph.D. in Economics from Yale in 2017, and a Master in Economics for Collegio Carlo Alberto in 2011. Most of her research uses tools from game theory in the context of industrial organization applications. Her area of expertise is the study of strategic interactions, learning, and communication in dynamic environments.Presenting:
Director, Decision Science Technology, The Walt Disney Company
Don Ross is Director, Decision Science Technology for The Walt Disney Company. In this role, Don leads Data Engineering, Application Engineering, and Infrastructure services for Disney Decision Science & Integration (DDSI). He supports analytic projects for business segments across The Walt Disney Company. Prior to this, Don spent his career in various hands-on and leadership roles in technology, and has achieved ITIL Expert certification.Presenting:
Sr. Product Manager, Disney Media Entertainment & Distribution
Eileen Parodi is a Senior Product Manager leading the Search Experience for Disney+ and Star+ at Disney Streaming. She has worked in the technology and product space for the past 8 years with experiences in consumer media, enterprise SaaS, telecommunications, and mobile technology. Additionally, she is an Innovation Officer with the Army Reserve where she consults with Joint Special Operations Center on their product development and processes.Presenting:
Associate Professor of Marketing, Lebow College of Business, Drexel University
Elea McDonnell Feit is an Associate Professor of Marketing and Associate Dean of Research at Drexel University. She has spent most of her career at the boundary between academia and industry, first as a research scientist at General Motors R&D, as a methodologist at The Modellers, and as the Executive Director of Wharton Customer Analytics and most recently as an economist at Amazon Ads. As a professor, her research has focused on how marketers can use randomized experiments to inform selection of creatives and media planning and she has developed a course in "Marketing Experiments" for Drexel's MS in Business Analytics. She enjoys making analytics accessible and has developed several workshops and online courses and wrote R for Marketing Research and Analytics with Chris Chapman, which has been translated to Chinese, Japanese and Korean and adapted to Python.Presenting:
Data Strategy Manager, Disney Media Entertainment & Distribution
Emily graduated with a PhD in Cognitive Neuroscience and has published multiple papers on the interaction between sign language and the brain. Emily’s first introduction to data science at Disney came in the form of being awarded the Disney Data & Analytics Women’s Scholarship, which allowed her to see the innovative data work being done at The Walt Disney Company. Both in her current role as a Data Strategy Manager within Disney Advertising and outside of Disney, Emily combines her interests of being an advocate for diversity in STEM and coding to support various organizations that uphold practices for STEM inclusion.Presenting:
Manager, Data Solutions and Activation, Disney Media Entertainment & Distribution
Ernie Spencer is a Manager, Data Solutions and Activation for the Disney Advertising Audience Modeling and Data Science Team. In this role, Ernie leads a team of analysts dedicated to audience exploration and activation. Integral to the development of Disney's first party audience segment library, Disney Select, Ernie serves as a subject matter expert to educate the sales team and clients on the evolving data ecosystem, tech stack development, data management and optimization.Presenting:
Lead Data Scientist, Disney Media Entertainment & Distribution
Harris Liu is the Lead Data Scientist at Disney Streaming. In this role, he leads and develops various projects focused on scalable quasi-experiment and marketing measurement solutions across Disney+, Hulu, ESPN+, and Star+. He has a master's degree in Data Analytics from New York University and holds two bachelor's degrees in Statistics and Business from the University of Rochester.Presenting:
Engagement Manager, Disney Parks, Experiences & Products
In his role as an engagement manager, James is responsible for building and maintaining the client relationship throughout the multiple phases of an engagement. He leads and manages concept creation, content development, as well as training for the client’s facilitation delivery team.
Prior to joining Disney Institute, he worked as a training manager for Magic Kingdom Park and Walt Disney World Transportation. James led a team that strategized and delivered multiple levels and types of training for more than 4,000 cast members.
James earned a bachelor’s degree in organizational communication from Northeastern University.Presenting:
Director of Sports Research, Insights and Analytics, Disney Media Entertainment & Distribution
Jonathan Gorski is Disney Media Entertainment & Distribution’s Director of Sports Research, Insights, and Analytics. In this role, he and his team are responsible for all Studio and Original Content Measurement & Reporting as well as oversight on all Sports Primary Research for Disney Media & Entertainment Distribution. Throughout his tenure, Jonathan has pioneered research on ESPN’s mobile efforts and helped spearhead the digital product & content growth across mobile platforms. In addition, he has led efforts on the effectiveness of the “two box” commercial format for advertisers as well as optimizing commercial structure and live game schedules across The Walt Disney Company’s linear networks. He graduated from Syracuse University with a BS in Marketing Management.Presenting:
Professor, Department of Industrial and Systems Engineering, North Carolina State University
Julie Simmons Ivy, Ph.D., is a Professor and Fitts Faculty Fellow of Health Systems Engineering in the Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University with extensive background in decision making under conditions of uncertainty using stochastic and statistical modeling. She received her B.S. and Ph.D. in Industrial and Operations Engineering from the University of Michigan. She also received her M.S. in Industrial and Systems Engineering from Georgia Tech. She is an active member of the Institute of Operations Research and Management Science (INFORMS). Dr. Ivy’s research seeks to model complex interactions and quantitatively capture the impact of different factors, objectives, system dynamics, intervention options and policies on outcomes with the goal of improving decision quality.Presenting:
Lead Software Engineer, Disney Parks, Experiences & Products
Justin Chu is a Lead Software Engineer supporting Disney Parks, Experiences & Products. At Disney, Justin is responsible for leading projects primarily involving building data pipelines that feed analytical and operational reporting as well as various machine learning models. Since joining the company in 2013, he has worked on numerous data related projects. Prior to joining Disney, Justin received his BS in Information Systems at Drexel University.Presenting:
Sr. Manager Application Engineering, The Walt Disney Company
Justin Ford is a Senior Manager for The Walt Disney Company. He currently leads the Analytic Platforms & Solutions team, helping to build and implement innovative decision science products that drive business value for Disney's media networks. He also helps manage the infrastructure used to power these next generation solutions. As an inventor on a number of patents, Justin has also worked in telecom, developing custom solutions to support critical Wireline and Wireless operations.Presenting:
Sr. Principal Product Manager, Disney Media Entertainment & Distribution
Karen Pfeifer is Senior Principal Product Manager at Disney Streaming. In this role, she oversees Data Strategy and Product Management Operations for the D.A.T.A. organization, leveraging platforms, analytic tools, services, and product frameworks to transform data, capabilities, features, and processes into trusted, accessible, and insightful assets. Ms. Pfeifer has previously held data product leadership roles as Director of Data Product at Hulu and at Multichannel Video Programming Distributors (MVPDs) for platform, verticals, digital and linear viewing, audience measurement, analytics and vendor partner relationships. She holds a B.A. from UCLA, and a M.S. in Analytics and Data Science from St. Joseph's University.Presenting:
Manager, Domestic Parks Media Analytics, Disney Parks, Experiences & Products
Kuan is a proud female analyst on the Advanced Analytics & Optimization (AAO) team in Consumer Insights, Measurement & Analytics (CIMA), using data, advanced analytics, and pixie dust to understand marketing’s impact on Disney’s demand/KPI metrics. She is passionate about testing/design of experiments, and storytelling. Originally from Taiwan, she holds a Ph.D. from the School of Industrial and Systems Engineering at Georgia Tech, where she focused on Statistics and Health Economics.Presenting:
Vice President, Walt Disney World Security, Disney Parks, Experiences & Products
Linda currently serves as the security leader for the largest Disney Park and Resort complex in the company, the Walt Disney World® Resort in Orlando, Florida. Prior to relocating to Orlando, Linda had security responsibility for Disney’s international theme parks and served as the strategic security resource for the Disney Parks and Resorts overseas properties at Hong Kong Disneyland, Shanghai Disneyland, Tokyo Disney, Disneyland Paris, Disney Cruise Line, Adventures by Disney land tours, Disney Institute, and Disney Vacation Club properties including the Aulani Resort in Hawaii. Linda’s first job in the Walt Disney Company in 2008 was as the Director of the Global Intelligence and Threat Analysis unit where she built a team of corporate intelligence analysts who serve as the "strategic tripwire" for the Walt Disney Company's facilities and brand worldwide. This intelligence portfolio spans 72 brands and encompasses the Parks and Resorts business segment, as well as, ABC News, ESPN, Disney Cruise Line, Disney Stores, Adventures by Disney land tours, and motion picture productions, including Disney Studios, Pixar, Marvel and Lucasfilm. Linda joined the Walt Disney Company after an 18-year career with the Central Intelligence Agency (CIA). During her CIA career, Linda served as both an analyst and operations officer and has extensive overseas experience in South Asia, North Africa, and the Middle East. She worked on issues ranging from terrorism to cyber intelligence to weapons of mass destruction, verification of international arms control treaties, and unmanned aircraft programs. She is the recipient of the Intelligence Community's Studeman Award for Excellence, Intelligence Medals for service in Iraq and Bosnia, a National Meritorious Unit Citation for Weapons of Mass Destruction, and numerous other CIA awards for Merit, Excellence, and Distinguished Service. Believing that we are safer together than we are apart, Linda is a founding member of the Department of Homeland Security’s (DHS) Classified Intelligence Forum, which assists DHS analysts in understanding threats to the private sector, and the Commercial Facilities and Outdoor Events subsector councils. She is the former Chairman of the State Department's Pan-Asia Regional Council, a member of the inaugural security committee for the International Association of Amusement Parks and Attractions, and founding member of the Private Sector Intelligence Council. Linda graduated Magna Cum Laude from the University of California, Los Angeles. She has done graduate level work at Cambridge University in England. Linda is a member of the Phi Beta Kappa chapter of UCLA.Presenting:
Decision Science Product Manager, The Walt Disney Company
Mina McBride is a Futurist and Foresight Product Manager on the Disney Decision Science and Integration team. In that role, she leads the foresight team in its use of quantitative and qualitative foresight methodologies to monitor change in the business operating environment. She is also responsible for innovation programs that challenge conventional thinking and inspire teams to think in new ways.
Mina is a member of the Association of Professional Futurists. She studied Psychology at Harvard University and holds a Master of Science in Strategic Foresight from the University of Houston.Presenting:
Sr. Data Scientist, Disney Media Entertainment & Distribution
Priya Medberry is a Senior Data Scientist for the Disney Advertising Audience Modeling and Data Science team. In this role, Priya leads the development of the predictive modeling capability fueling Disney Select, a proprietary audience segment library spanning the Company's ad-supported portfolio. Additionally, Priya is responsible for sourcing business requirements, data ingress and processing, and leveraging advanced machine learning techniques to build audience solutions optimized to achieve client KPIs.Presenting:
Sr. Manager of Sports Research, Insights, and Analytics, Disney Media Entertainment & Distribution
Ricky Cedrone is a Sr. Manager of Sports Research, Insights, and Analytics for Disney Media & Entertainment Distribution. He helps lead the company’s primary research efforts into sports fandom and consumption as well as all research, measurement, and reporting in support of the company’s original sports content, studio shows, and films across ESPN and The Walt Disney Company platforms. Prior to his ten years with ESPN/The Walt Disney Company, Ricky began his research career with Kantar in Boston. He graduated from Dartmouth College in 2007 with a BA/BE in Engineering, followed by a Master’s of Engineering Management from Dartmouth in 2009.Presenting:
Sr. Manager, Decision Science, The Walt Disney Company
Tara Wilson is Sr. Manager, Decision Science at The Walt Disney Company. Using her skills and love of mathematics and software engineering, she has contributed to the development, delivery, and sustainment of novel and innovative decision support tools for multiple clients. Currently, she focuses on developing and implementing processes and tools that streamline delivery and sustainment of decision science applications. This includes recommending ML-Ops strategies, implementing software engineering standards, and developing re-usable data science tools. Prior to joining Disney, Tara was a Visiting Assistant Professor at Clemson University where she earned her PhD in Mathematical Sciences.Presenting:
Data Analytics Manager, Disney Media Entertainment & Distribution
Tian Yang is a Data Analytics Manger focused on Product Experimentation, Optimization and Conversion Funnel within Disney Streaming Services. She has 10 years of experience in data and analytics, 3 of which have been in streaming at Hulu and Disney Streaming. In her free time, she enjoys playing board games and visiting the Disneyland and Disney California Adventure parks.Presenting:
Reporting and Analytics Manager, Disney Parks, Experiences & Products
Tyler Wade is a Reporting and Analytics Manager mainly supporting the company’s vacation planning initiatives. Prior to his current role he worked on a temporary assignment as a Digital Product Operations Manager supporting Disney Parks Experiences and Products. He has spent most of his career at Disney in park operations leader roles where he worked on various analytically driven projects for attractions at Disney’s Hollywood Studios. He has worked on numerous projects that have helped the opening of new attractions and offerings. Tyler received a BS in Business Marketing as well as a MS in Data Analytics from Grand Canyon University.Presenting:
Advance Analytics & Optimization Manager, Disney Parks, Experiences & Products
Xavier Foussereau, PhD, MBA is a manager in the advanced analytics and optimization team at the Disney Consumer Insight and Measurements Analytics Division. His current interest deals with optimization of Disney’s marketing spend through automation of media mixed models using machine learning. Prior to coming to Disney, he served as a senior corporate statistician for the Orlando based Darden Company.
Native from France, he holds a PhD. in Environmental Engineering from the University of Florida, and a MBA in international finance from the University of North Florida.Presenting:
As Chief Financial Officer, Christine McCarthy has helped lead The Walt Disney Company through periods of unprecedented change and growth. A 22-year Disney veteran, Christine shares in this presentation important lessons on how to translate data-driven analysis into insights that inform complex and significant decisions. At a company rooted in exceptional storytelling, even finance leaders must understand how to combine strategy, people, and execution to form a complete narrative.
I’ve spent the last decade working with data, hunting for mathematical patterns in human behavior. In that time, I’ve come across some incredible stories - written solely in the numbers - that get right to the heart of who we are as people.
In this optimistic talk, I’ll share some extraordinary tales about what’s happening at the very cutting edge of data science – a host of surprising and delightful stories that demonstrate how far you can go when we look back at ourselves through the eyes of data. And I’ll show you how a mathematical view of what means to be human can shape the way we design our society, from dating and healthcare to catching serial killers and everything in between.
At Hitachi Vantara, IT-OT convergence is in our DNA. We have more than a century of OT, and 60 years of IT experience, and we're on a mission to help organizations find, analyze and use data to get results. We're proud of our Corporate Alliance with Disney Parks, and we've worked together to help optimize operations and maintenance so guests can have exceptional experiences. This presentation by our Chief Product Officer, Radhika Krishnan, will demonstrate how our next-generation Lumada data and analytics software suite has helped many organizations, deploy a modern data fabric to drive innovation and capture opportunities in ways that were too complex or impossible to capture before.
Hitachi Vantara is a Platinum Plus Sponsor of DDAC
A new world of data opportunities has opened up since the last DDAC. The teams that push boundaries and boldly investigate uncharted territories, will inspire change and drive lasting impact. This session will uncover what it takes to develop a data explorer's mindset, and how it can transform teams into innovation engines. While there are perceived risks in the unknown ("here be dragons!"), there are also unimagined rewards. Power your expedition with technology that helps make every customer's journey productive and illuminating.
Braze is a Platinum Plus Sponsor of DDAC
Customers want great experiences -but it's bigger than that. They want companies to know them, listen to them, wow them, so every moment matters. Every moment helps build a relationship - so it's expected that those moments are connected, relevant, trustworthy, and human. However, most companies lack a strategy for bridging their customer engagements together into meaningful experiences. How can companies drive a culture and platform that supports data and insights everywhere, for everyone? Join Salesforce product leaders as they share how companies take a platform-based approach to deliver innovative 1:1 personalized experiences to their customers, guests, viewers and employees to foster trusted, life-long relationships.
Salesforce is a Platinum Plus Sponsor of DDAC
What helps put the F1-title-holding Oracle Red Bull Racing team in a position to win races and earn new fans? Hear from Oracle EVP, Rob Tarkoff, on how Oracle Red Bull Racing's predictive analytics and vertically integrated technology strategy drives the ultimate competitive advantage. Learn how other sports leaders communicate with their customers through the power of sports as a storytelling device, and how companies can draw inspiration from these data transformation strategies to connect audiences to new and deeper experiences through innovative use of technology.
Oracle is a Platinum Plus Sponsor of DDAC
Hear from President and CEO of Conviva, Keith Zubchevich in this welcome address.
Conviva is a Platinum Sponsor of DDAC
Data consumers need data for Business Intelligence and analytics to make business decisions. But for most organizations, their current data infrastructure isn’t keeping up with demand. Developing analytics and getting them into production takes weeks to months, and data tied to proprietary formats makes it difficult to support different types of analytics, such as BI and data science. Data teams struggle with brittle data pipelines, stale data, slow turnaround, and increasing costs. A data lakehouse built on an open data architecture enables data users to access data in their data lake directly via SQL queries, simplifies complexity, and makes life easier for data teams. Learn why more organizations are moving their analytics and BI to an open data lakehouse and how you can build a successful lakehouse strategy.
Dremio is a Gold Sponsor of DDAC
We believe trust is critical to Elevating the Human Experience™ — trust drives both customer & workforce loyalty, and ultimately business results. For example, 88% of customers who highly trust a brand have bought again from that brand, 79% of employees who highly trust their employer feel motivated to work, and trustworthy companies outperform their competitors by up to 4x. But trust today is deeply fractured — business leaders overestimate their customers' trust by 38% and their workforce trust by 45%. We've created the HX TrustID™ to measure, predict and act on trust. Our platform measures the Four Factors of trust: Humanity, Transparency, Capability & Reliability; predicts the customer & workforce behaviors that trust drives; and helps our clients take more targeted actions to (re)build trust.
Deloitte is a Gold Sponsor of DDAC
There is a growing expectation that brands will use people’s data responsibly and deliver value as part of the exchange. Privacy must now be our default setting — whether that’s due to third-party cookie deprecation, restricted access to mobile IDs or a growing number of regulations. To continue reaching the people behind devices with relevant marketing, it’s important to expand your pool of rich, first- and second-party data to power reach and personalization. In this session, Acxiom will share the keys to enabling the connected customer journey and counteracting the demise of the third-party cookie.
Acxiom is a Gold Sponsor of DDAC
This session will highlight the work coming from ESPN Edge in partnership with Accenture, Microsoft and Verizon. Join accomplished leaders across sports, business, and technology for an impactful panel leaving you motivated and ready to drive innovation.
ESPN Edge is a Gold Sponsor of DDAC
The amount of customer data available to brands has absolutely exploded in the past decade, giving brands an opportunity to create personalized experiences. But with the introduction of privacy regulations, thousands of new marketing tools, new customer touchpoints, and more, this data can simply cause chaos. It’s hard to measure and manage, but most importantly, blocks brands from delivering winning customer experiences. The fun stuff!! Come to this session to learn how industry-leading brands solve data chaos.
mParticle is a Gold Sponsor of DDAC
From ad pricing and revenue projection to optimizing streaming content for audience engagement, every aspect of the media and entertainment industry depends on up-to-the-minute, accurate data. The FullStack approach to data platform architecture, construction, and management is the key to meeting media and entertainment companies’ data needs, ensuring integration of the best technology, speed, flexibility, and a single source of truth empowering better decisions, faster. We will show how the FullStack approach, combined with innovative new tools like the Snowflake Media Data Cloud, can transform the way companies in the media and entertainment industry store and use data. Leveraging the Snowflake Media Data Cloud, companies can continuously stream first-party data, PII, subscription revenue, and marketing assets into a privacy-compliant secure raw zone, and seamlessly integrate additional external sources (such as identity, demographic, or psychographic data) to improve marketing effectiveness.
DAS42 is a Gold Sponsor of DDAC
Companies across all verticals are adopting the Data Mesh paradigm: decentralized data management to improve data agility and remove organizational bottlenecks associated with monolithic approaches. This session describes how the Snowflake cloud data platform enables key pillars of a data mesh implementation. We will share architecture blueprints and best practices drawn from customers who have successfully realized the benefits of a data mesh.
Snowflake is a Gold Sponsor of DDAC
Habu’s Chief Customer Officer, Ted Flanagan, Disney’s Director, Audience Modeling and Data Science, Nick Winfrey, and Disney’s Director, Advanced Analytics and Clean Room Solutions, Christine Chung, will discuss the foundational changes in the advertising ecosystem, the implications of data insights on marketing, analytics, and measurement, and how companies are coming together to collaborate in new and exciting ways to power mutually beneficial data-driven marketing. Ted, Nick, and Christine will share the strategies and tactics companies can utilize to safely maximize the potential of data in a privacy-focused manner, and how Disney Advertising uses data clean rooms to unlock collaboration opportunities with advertising partners that deliver the results and outcomes that drive results for brands and better experiences for consumers.
Watch this session and learn:
• What a data clean room is, how they work, and the value they deliver
• How companies like Disney and advertisers are leveraging data clean rooms today
• Key learnings on how to get started in clean rooms
Habu is a Gold Sponsor of DDAC
Action-oriented analytics, augmented by AI and available at sub-second speed, is changing the media and entertainment landscape. From the boardroom to the front lines, leaders are making faster and smarter decisions that drive customer loyalty and build long-lasting value. MicroStrategy’s unique approach to Intelligence Everywhere delivers the agility and trust in data you take results above and beyond!
MicroStrategy is a Gold Sponsor of DDAC
In a complex world of data deprecation, economic uncertainty, and a constantly evolving advertising landscape, it takes more than just strategic planning and execution to get ahead. Today’s forward-thinking brands are building successful and sustainable marketing practices by creating and instilling a data-driven mindset throughout their organizations. Join Marc Vermut, VP of The Knowledge Lab from Neustar, a TransUnion company, and Ajay Kapoor, Global Director, Performance Driven Marketing at General Motors, as they discuss the keys to identifying and infusing the right business metrics into your company culture to drive better business outcomes from your marketing investments.
Neustar is a Gold Sponsor of DDAC
Did you know that companies with strong Extended Planning & Analysis (xP&A) systems have five-year profit growth more than three times that of other companies? Operational performance is typically a leading indicator to financial results and business outcomes. The greater the insights into key operational metrics and understanding how they tie into financial line items, the more proactive and agile an organization can become. This drives improvements to the bottom line. Attend this session to learn how xP&A can help you bring your people and plans together to increase agility and performance by aligning operational and financial data and linking their supporting processes.
SAP is a Gold Sponsor of DDAC
Data is not the strategic resource of the 21st century, data scientists are, but they come from all walks of life with an exceptionally wide ranges of skills, experience and training. This diversity drives better decisions and enables a wider range of more innovative and successful solutions. However, to scale data science teams and unlock these benefits, organizations need to overhaul the way they support them. In this session we will discuss how to empower diverse teams with platforms that support an increasingly wide set of tools, provide scalable infrastructure and drive collaboration while still providing the governance and security organizations need.
Domino Data Lab is a Gold Sponsor of DDAC
(Additional registration required)
Deriving insights from data is more efficient when using a well-crafted data visualization than when using tables or reports. However, the journey to creating a well-crafted visualization can encounter many common pitfalls, especially when enabled by spreadsheet tools. This course will cover the principles and science behind creating a great visualization and change how you look at pie and bar charts. This course will dive into topics including:
• Building Blocks of Data Visualization - basic elements of a visualization and how they work together to create various chart types
• Data Visualization Designs - design principles used in data visualizations, how to convey messages through graphic representation, and making visualizations accessible and inclusive
• Exploration & Storytelling - storytelling with data and the use of tools to build visualizations
• Data Manipulation for Data Visualization - preparing data in a way that enables iteration through many visualizations and working with data manipulation techniques that aid effective data visualization
2:00 to 3:15 - Mind Blown: Learn the Basics of Alteryx Designer
New to Alteryx? Let us show you how you can do anything with Data! During this session, Alteryx' Principal Evangelist and Alteryx Ace, Joshua Burkhow and the Alteryx Team will take you on an amazing ride to teach you how you can do anything with data using Alteryx Designer. There will be no seatbelts or harness restraints, only excitement and thrills allowed! At the end you will not only have a ton of fun, but you will also have learned how to use Alteryx Designer to get started today!
Who Should Attend: First Time Riders.
Pre-Requisites: Download & Install Alteryx Designer Desktop
3:30 to 5:00 - How Big of a Movie Fan are You Really?
For this fun filled and competitive session we are going to show you how you can answer important questions about your data to see really, how big of a true movie insider you really are! We will show you how to easily connect to data, not be constrained by Excel and learn how to use Alteryx Designer to Summarize, Filter, Sort, and Analyze your data and more! Prizes may or may not be involved.
Who Should Attend: Data Lovers, Excel Junkies, and Movie Fanatics masquerading as Analysts.
Alteryx is a Gold Sponsor of DDAC
2:00 to 3:15 - Zero to Snowflake
New to Snowflake? Here's your opportunity to get to know us!
During this session, technical experts from Snowflake will demonstrate how to transform your legacy data architecture into a modern data platform, all designed to help you understand the true power of Snowflake's Cloud Data Platform. This will be followed by an advanced use-case demonstration.
Who Should Attend: Anyone new to Snowflake with a technical background
3:30 to 5:00 - Snowflake Showcase
Data Sharing Demo using media specific datasets
- Subscriber overlap analysis to package bundled offering
Data Clean Room Demo. Common use cases: Campaign attribution and measurement, third party enrichment, ad log analysis etc.
- Snowflake DCR Architecture
- DCR using Snowflake
- DCR using Habu
Who Should Attend: Data Analyst, Ad Sales, Marketing, Customer Acquisition & Retention
Snowflake is a Gold Sponsor of DDAC
From Data to Insights
Join Dataiku for a workshop where you'll gain intimate, firsthand experience with Dataiku's end-to-end data science platform. Dive deep into the Dataiku Design Node to prepare data interactively, analyze it, create insights, and augment your analysis using machine learning with or without coding.
For an optimal experience, it is recommended attendees bring their own laptops to this training session.
Dataiku is a Showcase Sponsor of DDAC
Understanding customer behavior is essential to hone the capability of marketing teams in nurturing and engaging customers in a more meaningful way.
As part of the marketing toolbox, the Customer Lifetime Value (CLV) is a holistic tool that measures the Force (the future monetary value) of each individual customer. CLV allows marketing teams to identify the customers with the strongest tie to the Force and help them harness their spending power. Easy to understand and implement, its flexible application allows segmentation and targeting of customers based on their CLV. Monitoring CLV of both existing and newly acquired customers will help organizations to devise actionable drivers that improve key performance indices.
There are several methodologies for calculating CLV. In this presentation we will explain and compare the three most popular approaches. We will also show how CLV could be used to increase the revenue of a company.
Artificial intelligence (AI) has made its way into many industries around the world and disruption resulting from the proliferation of AI is coming to the fields of banking and finance, pharmaceuticals, automotive, medical technology, retail, and entertainment.
But the truth is, it has just begun its odyssey toward cheaper, better, and faster predictions to drive strategic business decisions—powering and accelerating business. When prediction is taken to the max, industries transform. The disruption that comes with such transformation is yet to be felt—but it is coming.
New developments in artificial intelligence and the history of how technologies have disrupted industries highlight the striking phase we are now in – "the Between Times” -- after witnessing the power of this new technology and before its widespread adoption. While there continues to be important opportunities for businesses, there are also threats of disruption. As AI prediction improves, old ways of doing things will be upended, and that process will have winners and losers. How can businesses leverage, or protect, their positions?
The leads of Search and Experimentation at Disney Streaming discuss how they collaborate to build highly engaging streaming experiences by surfacing the right content to the right users at the right time. This entails creating a uniquely personalized in-app experience for every user while still retaining distinct brand identities across the different streaming platforms, including Disney+, Hulu and Star+, that reach over 200 million subscribers globally. Come learn about the strategic approach used to build Disney Streaming’s content discovery program for the globe, the role of data in guiding the product decisions, and the business trade-offs in experimentation. You’ll walk away from this conversation with how Disney Streaming uses data to drive best-in-class customer experiences and achieve desired business outcomes.
The need for analytic solutions continues to grow as more and more data becomes available, and companies strive to find a competitive edge to drive business value. As systems and tools transition to the cloud, what factors should you consider when planning for your data and analytic needs? The goal of this discussion is to walk through that journey with a strong focus on the types of tools and services available in the cloud to enable cost-effective, stable, secure, and robust solutions that take your analytics to the next level!
At Disney Streaming, we constantly challenge ourselves to experiment and seek the best way to delight and engage with our users. While continuing to benefit from randomized controlled experiments as our user engagement grows, Disney Streaming has also developed a scalable solution to make valid and prompt causal inferences without relying on randomized A/B tests. In this presentation, we will discuss different, cutting-edge machine learning methodologies implemented in our causal inference tool to help all our stakeholders swiftly make optimal data-driven decisions.
Our social and work environment has been through cataclysmic changes in the last few years. How do we anticipate the inflection points and manage teams through both professional and personal challenges? How do you maintain tactical agility in this environment? There are some lessons from the tradecraft of security and espionage that may offer both perspective and concrete solutions.
Why do fans tune in to watch LeBron James? What do Mike Trout and Aaron Judge have in common? What makes Tom Brady the greatest of all time? The answers to these questions may seem obvious to some, might be too in then weeds for others, but there are tangible measures for why fans tune in to watch these superstars.
Across all sports, Superstars are the main reason fans tune in to watch a game, match, or fight. An athlete can have the talent to be the best in their respective sport, but that doesn't always translate to viewership. The Sports Research and Insights team at Disney Media & Entertainment Distribution have studied the key attributes that make a superstar, how to nurture the next generation of stars, and predict future superstars.
We'll share which attributes are key to grow superstardom, how they differ from sport to sport, and which are predictive indicators.
Decision making to satisfy the basic human needs of health, food, and education is complex. In 2020, more than 38 million people, including 12 million children, in the U.S. were food insecure. By 2021, 53 million people sought help from food banks and community programs to feed their families. Food banks are nonprofit organizations that collect and distribute food donations to food-insecure populations in their service regions. Food banks are challenged with juggling multiple criteria such as equity, effectiveness, and efficiency when making distribution decisions. Models that assume predetermined weights on multiple criteria may produce inaccurate results as the preference of food banks over these criteria may vary over time, and as a function of supply and demand. In collaboration with our food bank partner in North Carolina, we develop a single-period, weighted multi-criteria optimization model that provides the decision-maker the flexibility to capture their preferences over the three criteria of equity, effectiveness, and efficiency, and explore the resulting trade-offs. We introduce a novel algorithm to elicit the inherent preference of a food bank by analyzing its actions within a single-period. The algorithm does not require direct interaction with the decision-maker. The non-interactive nature of this algorithm is especially significant for humanitarian organizations such as food banks which lack the resources to interact with modelers on a regular basis. We explore the implications of different decision-maker preferences for the criteria on distribution policies.
Learning isn’t just for machines! Advancing in one’s career often feels more like navigating a learning curve than simply climbing the “corporate ladder,” with many ups and downs along the way. Join this session for stories of personal reflection – including fears, obstacles and lessons learned – collected from the uniquely human experience of learning and growing across an analytics career. Walk away with ideas for approaching challenges in analytics and beyond.
Have you ever calculated the sample size for an A/B test and come up with a sample size that is larger than you can ever get? Does this mean you shouldn't run the test? No! In this presentation, we discuss why the standard hypothesis test used to analyze A/B tests doesn’t always fit with the tactical problems that businesses are trying to solve. The standard hypothesis test is used by academics who want to find small effects, but in marketing, we care about the big effects. Big effects are where the profit comes from! In a tactical A/B test -- which we call a “Test & Roll” -- the marketer conducts a small test and then uses the data to choose one of the treatments to deploy. We derive a new sample size formula which maximizes the expected profit from a Test & Roll. Using this lens, we show that "undersized" tests always increase profit and the optimal test size is far smaller than recommended by the standard sample size formula. We will also discuss how Test & Roll relates to more complicated bandit and reinforcement learning algorithms, providing most of the benefit of these algorithms with far simpler implementation requirements.
Using the example of the Seating Optimization application deployed to the Star Tours – The Adventures Continue attraction, this instructional discussion will focus on how engineering and user- centered design principles can enable the ability to deploy effective products in smaller cycles.
In a diverse workforce, understanding how to be an effective ally is an important task and each individual has a unique perspective on the type of support they want and need. Please join Hannah Fry (Author, TV & Podcast Host, Professor in the Mathematics of Cities at the Centre for Advanced Spatial Analysis at University College London (UCL)), Emily Kubicek McAfee (Data Strategy Manager, Disney Media & Entertainment Distribution), and Tara Wilson (Senior Manager Decision Science, The Walt Disney Company) as they talk with moderator Mina McBride (Decision Science Product Manager, The Walt Disney Company) about the impact allies have had on their career journeys and share ideas on how we can elevate our own teams through allyship.
We develop a game theoretical model of dynamic predatory pricing. An incumbent who is privately informed about whether the demand is strong or weak faces a potential entrant who decides when, if ever, to pay an entry cost to become an incumbent's competitor or take an outside option. The incumbent chooses its output so as to affect the market price, which is a noisy signal of the market demand. Leveraging continuous-time methods, we provide a tractable characterization of Markov equilibria and show that they always feature overproduction. Intuitively, the incumbent has incentives to ``flood the market'' when demand is strong so that the resulting price is low and the potential entrant is induced to believe that the demand is weak, and not to enter. Even if in equilibrium the potential entrant anticipates the behavior of the incumbent when drawing inference about the demand from prices, the incumbent adopts a predatory behavior to deter entry. We show that because of its numerical tractability, our equilibrium characterization is amenable to further empirical investigation to quantify, for example, the welfare cost of predation.
In this presentation we will set forth how the Disney Streaming D.A.T.A. organization creates value for Disney Media & Entertainment Distribution by providing a framework for managing and leveraging D.A.T.A. Products. We will discuss how the D.A.T.A. organization defines D.A.T.A. Products and the unique framework allowing it to launch products in Disney Media & Entertainment Distribution at scale with guardrails to ensure value and trustworthiness. To provide a better understanding of D.A.T.A.’s product framework, we will explore not just the definition of the framework, but also how we define D.A.T.A. assets, what is and is not a D.A.T.A. Product, benefits of productization, the D.A.T.A. Product lifecycle, roles and responsibilities for product managers, as well as explore a set of general product examples.
We are all storytellers. And everyday business analysts worldwide are greeted with millions of data points that are translated into insights to drive data informed decisions. The best data analysts humanize statistics for their audience and transform “the what” of data into “the why” behind the numbers, with context, conclusions, and consequences. The skill to effectively craft a data driven story is not limited to simply communicating data analysis with statistics and data visualizations, but lies in finding the “soul” of your data to create excitement, clarity, and inspiration for others. Data needs stories and this session explores how you can identify the story of your data, tailor a narrative for your specific audience, and select the best way to communicate your “spark” of insight to make a difference.
As the digital media landscape evolves with the deprecation of third-party identifiers, successful application of first-party data has become more important than ever as companies shift to develop customized but scalable targeting solutions. Disney Advertising Sales has met this challenge head-on with our development of Disney Select, an extensive library of first-party segments that span the Disney portfolio and are designed for maximum scale, built with integrity and activated across the portfolio of available Disney inventory. These segments are built in-house using a holistic methodology that leverages our wealth of first-party data and pairs business-driven insights with end to end advanced machine learning and analytical techniques to form a future- proofed solution. In this presentation, we take a closer look at this innovative process, highlighting successful segmentations, key insights, and unique capabilities that position our audience offerings at the forefront of the industry.
The step from data analyst to managing a team of analytic talent is top of mind for many individual contributors. There are so many books, courses, and seminars on how to be an effective manager once you have the job; but these rarely address the self-awareness and advocacy needed to get a seat at the table. This talk will touch on how to know when you’re ready for the next step, ways to demonstrate convincing readiness to your leadership, and anticipating common challenges unique to managing analytic teams. We invite individual contributors considering a move into a management track to our talk. Experienced leaders may also find helpful tips for encouraging their staff to consider management roles.
Disney Institute presents Disney leadership insights that demonstrate why leadership is more than just a job title—it’s about creating positive transformations throughout the organization. Our approach is based on time-tested data that is demonstrated throughout our daily operations. We’ve learned that leaders who intentionally nurture an environment of mutual trust and respect tend to drive stronger employee performance, which can lead to exceptional customer service—and ultimately—improved business results.
Speaker: Alistair Galbraith, Senior Director, Oracle ACX, Head of Innovation Labs
Truly personalized customer experiences and measurable competitive advantages are driven by data. The challenge is that even the most forward-thinking businesses have complex data of different shapes and sizes, from multiple sources, perspectives on the business, and frequency of update.
Join us as we show you some of Oracle's unique approaches to making sense of disparate data and extracting value that can be used to delight customers across the multiple offerings and channels of your business. See how we empower Finance, Data Science, Analytics, Marketing and CRM teams with holistic real-time customer insight.
Oracle is a Platinum Plus Sponsor of DDAC
The Hitachi Lumada software enables organizations to drive data-driven outcomes. This demo highlights how we have partnered with Disney Parks to analyze IoT data from one of the rides in the Hollywood Studios park in Orlando. By augmenting the raw data from the ride using physics-based simulation capabilities from Ansys and Disney's Scientific Data Analytics platform, Hitachi Machine Learning models were able to more accurately predict when certain anomalies would likely occur, thus providing maintenance and engineering personnel with timely and valuable insights that can be used to improve guest experience.
Hitachi Vantara is a Platinum Plus Sponsor of DDAC
Speaker: Melissa Yurash, Senior Customer Success Engineer, Conviva
The internet wasn't designed for video, and yet it now represents 80% of internet traffic. Fragmentation of encoding, encryption, network, device and player ecosystems has made it orders of magnitude more challenging to deliver a consistent quality of experience for streaming vs. traditional broadcast networks. Experience impacts Engagement. Engagement impacts Revenue. The technology exists to solve this challenge but, like any tool, wielding it effectively is critical to driving high ROI.
In this session, Senior Customer Success Engineer, Melissa Yurash, walks through the best practice methodologies used by 80% of the world's largest media conglomerates. Learn what to measure, how to measure it, how to contextualize and interpret it, what action to take and in which order to achieve streaming performance success; the most impactful results, with the most efficient use of resources, in the shortest time possible.
Conviva is a Platinum Sponsor of DDAC
Speaker: Sean Wilkinson, Head of Corporate Development, Conviva
As media companies transform into direct-to-consumer businesses, data has become an essential asset for monetization. However, a lack of standardization across platforms, applications and devices has resulted in fragmented data sets, making it a challenge to measure audiences. What does a solution look like that will allow media companies to surface the right insights to drive their business?
In this session, Conviva's Head of Corporate Development, Sean Wilkinson, will discuss the challenges of fragmentation, and how data standardization can drive revenue across advertising, marketing, and research and what the evolution of TV analytics needs to look like for media companies to continue to grow their platforms.
Conviva is a Platinum Sponsor of DDAC
Speaker: Will Penson, VP Strategy, Conviva
In today's increasingly fragmented world, data that informs decisions for an entire brand--across retail locations, streaming video, social media, and owned and operated platforms--is vital for any business to succeed. But data complexity and fragmentation make continuous measurement incredibly difficult.
In this session, explore solutions to past and present challenges with measurement as well as what the future might hold--why the privacy wars are actually a good thing for publishers, why understanding the link between social and streaming is pivotal to customer acquisition, and how leveraging streaming data across the entire business will unlock major opportunities.
Conviva is a Platinum Sponsor of DDAC
To stand out, brands must embrace customer experience, and the data and technology that powers it, as a core competency. mParticle's CDP is purpose-built to help brands deliver an engaging, relevant, omni-channel customer experience in real time. In this 40-minute demo and learn how to:
a. Manage data from a variety of inputs (Web, Mobile, OTT, etc.)
b. Unify data against a single customer profile
c. Activate data across the ecosystem of marketing & analytics partners
d. Perform some governance over your data
mParticle is a Gold Sponsor of DDAC
Personalize, Monetize, Innovate: Databricks for Media & Entertainment
Media and entertainment organizations across the globe are in a heated battle for consumer and advertiser attention. Winning the war for attention is a matter of harnessing big data, AI and analytics at the core of your organization -- but many organizations struggle to maximize the value of their data in ways that will drive better business outcomes. Join us for an interactive demo to see how Databricks harnesses any type of data, makes it ready for any use case from AI to BI and does it exceptionally fast from any cloud.
Databricks is a Silver Sponsor of DDAC
The Universal BI Portal: The Missing Ingredient to your BI Strategy
Metric Insights’ Enterprise Business Intelligence Portal is the leading BI governance platform that integrates all your BI tools, reporting, and metrics into a single, consolidated catalog of governed BI assets. Metric Insights drives engagement with BI making it simple and practical for users to find, trust, and consume data.
Metric Insights is a Silver Sponsor of DDAC
Introduction to Streaming Data and Stream Processing with Confluent and Slower, a Confluent Top Global Implementation Partner
Modern businesses have data at their core, and this data is changing continuously. How can we harness this torrent of continuously changing data in real-time? The answer is stream processing, and Apache Kafka® is a core hub for streaming data. This talk will provide a brief introduction to Apache Kafka and describe its usage as a platform for streaming data. It will explain how Kafka serves as a foundation for both streaming data pipelines and applications that consume and process real-time data streams. It will introduce some of the newer components of Kafka that help make this possible, including Kafka Connect, a framework for capturing continuous data streams, and Kafka Streams, a lightweight stream processing library.
Confluent and Slower are Silver Sponsors of DDAC
Fivetran: Automating Data pipelines
In this demo you will learn how to connect your data from over 180+ connectors to your cloud data warehouse with a single click. You will learn how easy it is to set up pipelines that automatically and continuously update, freeing you up to focus on game-changing insights instead of managing data pipelines.
Fivetran is a Silver Sponsor of DDAC
AWS Data Ingestion and Visualization
Join AWS for a demonstration that will show how to ingest data into Amazon Redshift from a Kinesis stream in JSON format. The demo includes creating an external schema and materialized views to store the data as raw JSON and convert the JSON data to Amazon Redshift data types upon ingestion. Finally, we query the materialized view to get statistics and results. Watch as your vote is ingested into Amazon Redshift, converted, and queried. See results displayed in real time in an Amazon QuickSight dashboard.
AWS is a Silver Sponsor of DDAC
Revenue Management Solutions & University of South Florida Restaurant Menu Research
The use of eye tracking technology and surveys allows us to better understand how customers read and interact with restaurant menus.
Revenue Management Solutions is a Silver Sponsor of DDAC
Accelerate Data Mesh with first-class data products
Data Mesh aims to prescribe that the ownership of data products should live in business domains, ensuring that data is treated as a first-class product across the organization. This is a drastic strategic shift, wherein data is no longer treated as a by-product of activities in which the business engages, but as a key value-driver that should direct business decisions. Learn how to deliver data as a product to empower business domains to become truly data-driven while freeing data teams from costly, time-intensive data management tasks.
Starburst Data is a Silver Sponsor of DDAC
Supercharge Collaboration and Drive Customer Insights with Alation
To deliver on the vision of customer 360, data teams need to collaborate across groups, functions, and data silos. Alation gives your teams one place to find, understand, trust and govern all enterprise data. Join our interactive session to:
See a demonstration of how Alation’s data intelligence platform supports human collaboration
Learn how to integrate your organization’s tools, platforms, and data sources using Alation’s broad, deep connectivity, to deliver a unified data ecosystem
Understand how Alation empowers all of your users, including data scientists, data analysts, data governance professionals, and non-technical business users, to work meaningfully with data
Alation is a Silver Sponsor of DDAC
Enabling Analytics For All with the Alteryx Platform
We believe the power of analytics and data-driven decision making shouldn’t just be for the experts – the data scientists, the quants, the developers, et cetera. We believe “Analytics is for All.” From finance and HR, to sales, marketing, and business operations; we see breakthroughs and transformations happening across every department and every industry around the world. Alteryx helps organizations democratize analytics at scale, and we can help your company create breakthrough moments.
Alteryx is a Silver Sponsor of DDAC
Jumpstart your Modern Data Platform with Insight Lens
Insight Lens is a data ingestion framework that helps organizations get insights from their data faster than ever. During this demo we’ll show you how you can accelerate the development of your modern data platform, minimize maintenance burdens, remove congested data ingestion strategies, and start leveraging improved business outcomes in weeks rather than months, or even years.
Insight is a Silver Sponsor of DDAC
The real-time data journey, enhanced
Effortless, simplified, fast
Every business, company or organization knows that to continue to succeed in this volatile and fast-paced market, you must always stay on top of what is relevant in your landscape. Today, this is only possible with data – and, more specifically, with web data.
Why? Our market real-time is managed on the web - the largest database of all. So, how do you tap into this valuable data and derive the exact structured data and insights that are suitable to your business? More so, how do you do it fast and efficiently without even having to code?
In this demo, industry-leading web data platform Bright Data will take you through its latest innovative automated tools that can turn this vast and far-reaching database into real-time knowledge and power - in just minutes.
Bright Data is a Silver Sponsor of DDAC
Prescriptive analytics are dependent on trusted data delivered through a catalog. However, traditional catalogs do not deliver the capabilities to understand the contextual meaning nor the ability to visualize relationships across silos. We will demo how to build a data foundation with discovery-in-depth techniques such as classification, correlation and clustering. These steps will offer insights into a catalog that covers the full breadth and depth of your data sources.
BigID is a Silver Sponsor of DDAC
Realizing the Metaverse vision with PowerMe@Genpact
The Metaverse is a new fertile ground for value creation. A critical component in this regard is how well existing and future data is harnessed. The data curation, protection, as well as governance across platforms and digital assets will take on a completely new meaning in the Metaverse. Nearly all the monetization channels will depend on the maturity in this regard. This is where Genpact’s PowerMe comes in. It is an AI + ML based data visibility, data lineage, and data quality platform with integration into an Enterprise’s analytics capabilities. Join us to see how PowerMe can drive value from your data in today’s world and tomorrow’s Metaverse.
Genpact is a Silver Sponsor of DDAC
How to Build a Data-First Approach for Data Governance
A holistic end-to-end data management program requires automation and data insights to help manage the scale and reusability of data assets across the different business stakeholders. It requires starting from the foundation of your data knowledge and leveraging AI/ML to keep the information in sync with new data and insights. This thought leadership session will discuss a new approach to data management using the AI/ML focusing on a bottoms-up approach to data and metadata management.
BigID is a Silver Sponsor of DDAC
Graph-based recommenders: a brief, practical intro
In this short talk we'll show how graphs are used to build recommendation engines. We'll explore how graph algorithms and visualization allow us to make sense of highly connected data, and provide a brief practical example of a graph-based content and collaborative recommendation engine.
neo4J is a Silver Sponsor of DDAC