Darlene is currently the Manager of Business Operations Analytics for Rotary & Mission Systems. In this role, Darlene works in a cross-functional environment using data, algorithms, and continuous improvement methods as they apply to measured improvement of program performance and operations outcomes.
Darlene joined Sikorsky Aircraft in 1995 and has held positions of increasing responsibility in engineering and process improvement. Most of Darlene’s career has been in Engineering, including Rotors design and Process Certification. For more than a decade, she has been serving various analytic disciplines. Notably, she was responsible for the early development of commercial sustainment support processes and analytic toolsets, with a focus on sustainment cost modeling.
Darlene earned a BS in Mechanical Engineering from Worcester Polytechnic Institute and an MS in Management of Technology from Fairfield University.
Gregg Chapman is the Director of Resorts Revenue Management within the Revenue Management and Analytics team at Walt Disney Parks & Resorts, which is responsible for day-to-day yield management of the 33 Walt Disney World Resorts, the 4 Disneyland Resorts and Aulani, a Disney Resort & Spa in Hawaii. Additionally, Gregg’s team utilizes the vast amount of data from the online booking environment as well as the Disney Call Centers to provide analytical insights into the consumer sales process. Gregg has been at Disney for nearly 26 years, with the last 13 being in the Revenue Management team. During this time, he has led the evolution of the science based revenue management process at Disney through continual advancements in technology and analytical decision making approaches. Prior to his time in RM, he had roles in Finance, Forecasting, and Theme Park Operations. Gregg holds a Bachelor’s degree in Marketing from the University of Central Florida, and an MBA, with concentrations in Finance and Accounting, from the University of Alabama.
Mr. Cooper is the Director of Emerging Analytics at Ford Motor Company, reporting to the Chief Data and Analytics Officer. The team delivers analytics and the analytics strategy that supports emerging opportunities at Ford. The team consists of vehicle connectivity analytics, smart mobility analytics, and machine learning COE. Mr. Cooper has been with Ford for 18 years. Prior to joining Ford, he was a senior consultant at PriceWaterhouseCoopers worked in marketing research, and was a survey statistician at the U.S. Census Bureau. He holds a master’s degree in mathematical statistics from Michigan State University.
Giulio is a Supervisory Financial Economist at the U.S. Securities and Exchange Commission. His work involves developing analytical tools that are utilized across the Commission (i) to identify risks or securities law violations (ii) and to assist the Commission in efficiently allocating resources by prioritizing inspections on registrants with higher risk of deficiencies, manipulation and fraud. While at the SEC, Giulio has focused on developing a model currently used by the Office of Compliance Inspections and Examinations as part of their Broker-Dealers exam candidate selection process. Recently, Giulio worked on risk assessment initiatives in the Investment Companies space and started supporting the SEC’s Division of Enforcement in the detection of insider trading in derivatives markets. Giulio holds a Ph.D. in Economics; he has published articles in peer-reviewed journals and was recently awarded the Graham-Dodd Award of excellence in research and financial writing for best paper in the Financial Analyst Journal in 2016.
Sarah is a Data Scientist/Statistician with Intel Corporation, where she is passionate about how business organizations find business value through Advanced Analytics. In her 13 years at Intel, she worked in various business units to help them develop a foundation for analytic adoption to increase business impact.
In previous lives, Sarah worked in various industry and government positions, such as BD (a medical device company), Kraft Foods, Ford Motor Company, and USDA/NASS. She holds a Master’s degree in Applied Statistics from the University of Michigan and Bachelors’ degrees in Mathematics and Psychology from the SUNY Oswego.
As senior vice president at ESPN, Rob King is an influential multimedia architect at the biggest brand in sports. A nine-time Sports Emmy award winner, King directly oversees ESPN’s entire portfolio of storytelling assets across television, digital, and print, including ESPN The Magazine, ESPN Films, 30 for 30, Outside the Lines, and E:60. He also leads all original programming created exclusively for ESPN+, the company’s direct-to-consumer initiative.
After graduation from Wesleyan University, where he majored in English, played basketball, and competed in track and field, King studied journalism at Penn State as part of the School of Communication’s inaugural class. He began his media career in newspapers, including stints at The Philadelphia Inquirer, the Louisville Courier-Journal, and The Washington Post.
Since joining ESPN in 2004, King has served as senior vice president, SportsCenter and News; senior vice president, Content, ESPN Digital and Print Media; and vice president and editor-in-chief of ESPN.com. He started at ESPN as a senior coordinating producer in studio production, responsible for (at various times) NBA studio programming; on-location golf coverage, including the Masters and the U.S. Open; and ESPNEWS, the nation’s only 24-hour sports television network.
In 2016, King appeared on Forbes’ list of “Most Influential Minorities in Sports.” Earlier, he was named by Fast Company among its “Most Creative People for 2014.” A past Pulitzer judge, King is a member of the Associated Press board of directors, the Center for Investigative Reporting board, and the Poynter Institute’s board of trustees.
King is a member of the President’s Council at Wesleyan and a trustee of the University of Saint Joseph (CT). A resident of West Hartford, Connecticut, he and his wife, Jen, have three children: Eli, 15; Amani, 12; and Amanda, 11.
As Division Chief of the NASA Advanced Supercomputing (NAS) Division at Ames Research Center in Silicon Valley, CA, Dr. Piyush Mehrotra oversees the full range of high-performance computing services for NASA’s premier Supercomputing center. The Division focuses on the advanced computing needs of the NASA scientists and engineers, including in the areas of Data Analytics & large-scale Visualization, Collaborative Computing, Cloud Computing, and Quantum Computing. In addition, he also manages NASA’s modeling and simulation research and development efforts focusing on several domains including computational Aeroscience, risk assessment, and heliophysics, which are critical for numerous NASA missions.
Dr, Mehrotra obtained his PhD in Computer Science from the University of Virginia and then joined Institute for Computer Applications in Science and Engineering (ICASE), Hampton VA. where he ended up as a Research Fellow managing the Computer Science portion of the Institute. He has over 37 years of R&D experience in parallel programming languages, including compilers and runtime systems for parallel systems, and middleware infrastructure for grid environments. Recently his efforts have been focused on performance characterization, benchmarking and effective utilization of parallel systems including HPC clouds. He has also been leading the effort to develop an environment for Data Analytics/AI/ML at NAS. He has published over 120 articles in journals and conferences.
Kjersten Moody is the first Chief Data & Analytics Officer (CDAO) for State Farm®. She is a global business leader who is passionate about business transformation, data, analytics, technology and diversity. Kjersten works with all areas of the company to ensure the data strategy enhances the customer experience, drives business value and fosters a great place to work. Throughout her career, Kjersten has demonstrated her passion for what is possible in the realm of data and analytics. She has a record of delivering tangible, positive business results, and a depth of experience in scaling operations, planning and executing mission-critical business initiatives, and achieving profitability objectives. Kjersten received a BA in Economics from the University of Chicago, and she serves on the Board of Trustees for Harvey Mudd College.
Program Managers (PM) must swiftly navigate vast and sometimes conflicting information sources in order to efficiently deliver programs and projects for the enterprise. Analytic solutions reduce the effort spent wading through data, helping PMs prioritize important risk factors from the noise, and do it all more effectively to address execution gaps.
This session outlines the steps that will help leaders utilize analytics as a guide to predict program performance while emphasizing that predictions are not stand-alone solutions. It will also briefly cover the process and methods that assist in the development of these solutions, allowing PMs to focus energy across key elements of the program.
Analytics is a competitive differentiator at many organizations, especially when leaders are fully committed to innovating and finding new opportunities. At Disney, challenging the traditional limits of analytics has allowed the organization to stay consistently ahead of its competitors. In this conversation, Gregg Chapman will share how analytics has grown at Disney including lessons learned along the road to the development of a science-based analytical team.
Traditionally the analytics communities have been mostly math and statistics people. The trend today is towards the inclusion of those who are also trained in computer science and software engineering. This is forcing the traditional analytics communities to pay attention to the lessons from the agile software revolution. The inclusion of the analytics community into the dev-ops movement is a fairly recent phenomenon. As Ford enters the world of data-driven everything a new agile analytics paradigm is emerging. This paradigm is based on the agile software development revolution, connectivity, cloud-native architectures, and analytics.
Since its establishment, the U.S. Securities and Exchange Commission has had the constant mission to protect investors and the integrity of financial markets through regulation and enforcement of the federal securities laws. The SEC’s approach to identifying and investigating financial misconduct has evolved over time. The recent introduction of analytics capabilities has enabled the SEC to leverage data to conduct activities more efficiently by allocating resources more effectively. The SEC’s new analytic tools have allowed the Commission to uncover risks and more proactively identify and pursue problematic conduct.
Business organizations are reading about the value of Big Data, Advanced Analytics, Machine Learning, and AI, but they are struggling with their adoption in securing the business value. It is not an easy journey, filled with dirty data, lack of processes, and talent gaps. What do these organizations need to do to understand, value, and support data-driven Analytic capabilities? In this presentation, Sarah will talk about establishing a strong organizational foundation to develop Analytics to drive business value and what are the roles for analytic experts to lead in forming this foundation.
Media companies used to rely heavily on the notion of a mass audience that could be moved to engage with content based on broad interpretations of what was most popular and most engaging to the greatest number of people. In this age of personalized, on-demand commerce and consumption, that mass audience no longer exists. Instead, we live in a time of a massive audience of empowered, entitled individuals who spend time and money in spaces tailored to their needs and behaviors. At ESPN, where we seek to serve fans on that one-to-one basis, real-time data informs how we plan, create and program content designed to satisfy the sports fan anytime, anywhere. This talk will explore the how and why of this new storytelling environment.
In this digital age, data forms a critical and core part of the science and engineering needed to meet NASA’s goals and objectives. In this talk, we look at how researchers are using data analytics and machine learning to extract information and knowledge from data arising from multiple sources—including observational data from satellites, ocean sensors, and other facilities, and data obtained through modeling & simulation. We also discuss the confluence of big data and extreme-scale computing and describe the infrastructure developed by the NASA Advanced Supercomputing (NAS) Division at Ames Research Center in Silicon Valley for large-scale data analytics.
In this presentation, State Farm® Chief Data & Analytics Officer Kjersten Moody discusses the use of data in insurance, with a focus on operational transformation and creating new customer experiences. She will also review how the data-driven evolution of business is leading companies to investigate and adopt new techniques in data management practice and governance for the responsible and ethical use of AI.