Kirk Borne is a Data Science Fellow at Booz Allen Hamilton. Prior to that, Dr. Borne was a professor of astrophysics and computational science at George Mason University for 12 years, where he did research and taught students in the undergraduate and graduate data science programs.
Prior to that, Dr. Borne spent nearly 20 years supporting data systems activities for NASA space science missions, including a role as NASA's Archive Project Scientist for the Hubble Space Telescope.
Professor Erik Brynjolfsson
Massachusetts Institute of Technology
Director of the MIT Initiative on the Digital Economy
Erik Brynjolfsson is director of the MIT Initiative on the Digital Economy, Schussel Family Professor at the MIT Sloan School. His research examines the effects of information technologies on business strategy, productivity and performance, digital commerce, and intangible assets. At MIT, he teaches courses on the Economics of Information and the Analytics Lab.
Professor Brynjolfsson was among the first to measure productivity contributions of IT and the complementary role of organizational capital and other intangibles.
Professor Alberto Cairo
University of Miami
Knight Chair in Visual Journalism at the School of Communication
Alberto Cairo is a journalist and designer, and the Knight Chair in Visual Journalism at the School of Communication of the University of Miami (UM). He is also the director of the visualization program at UM’s Center for Computational Science. He has been head of information graphics at media publications in Spain and Brazil. The author of several books such as 'How Charts Lie' (2019) and 'The Truthful Art; (2016), Cairo currently consults with companies and institutions like Google, and has provided visualization training to the European Union, and more.
Cole Nussbaumer Knaflic
Storytelling with Data
Cole Nussbaumer Knaflic tells stories with data. She is the author of Storytelling with Data: Let’s Practice! and Storytelling with Data: a Data Visualization Guide for Business Professionals, which has been translated into a dozen languages, used as a textbook by more than 100 universities and serves as the course book for tens of thousands of SWD workshop participants.
For nearly a decade, Cole and her team have delivered interactive learning sessions highly sought after by data-minded individuals and organizations all over the world.
Dr. Story Musgrave
Franklin Story Musgrave M.D. is a retired American astronaut that has completed six space missions. He is also one of the most educated people to have traveled into space.
A mathematician, aviation technician, instrument technician, military pilot, Air Force doctor, National Heart Institute post-doctoral, and bio physics instructor.
His first flight into space was on April 4, 1983 and his last voyage was 7th December 1996. Operational duties included shuttle deployments, satellite launches and service, and repair of the Hubble Space Telescope.
Sandals Resorts International
Gebhard Rainer, CEO at Sandals Resorts International, has more than 35 years’ international experience in the hotel industry, having lived and worked in the Middle East, Eastern Europe, Western Europe, the United States and the Caribbean.
A hospitality veteran with global operations and international finance experience, he served more than 20 years at Hyatt Hotels Corporation, including 2 years as executive vice president and CFO. From 2014 to 2016, he served as president and Chief Operating Officer for the luxury brand Coach.
Robin L. Washington is a member of the Board of Directors of Alphabet, Inc., Honeywell International, Inc. and Salesforce.com, where she serves as chair of the audit committee.
Ms. Washington served as Executive Vice President and CFO of Gilead Sciences, Inc., from May 2008 – November 2019 where she oversaw Global Finance, Facilities and Operations, Investor Relations and the Information Technology organizations.
Ms. Washington is a CPA and holds a BA in business administration from the University of Michigan and a MBA from Pepperdine University.
Professor Gary Urton
Dumbarton Oaks Professor of Pre-Columbian Studies in the Department of Anthropology
Gary Urton is the Dumbarton Oaks Professor of Pre-Columbian Studies in the Department of Anthropology at Harvard University. His research focuses on a variety of topics in pre-Columbian and early colonial Andean cultural and intellectual history, drawing on materials and methods in archaeology, ethnohistory, and ethnology. He is the author of many articles and of numerous books and edited volumes on Andean/Quechua cultures and Inka civilization, including many single author books.
The Derivation of Unique Solutions and Future Trajectories through the Simultaneous Exploration of Intrinsic Multi-Domain Synergies
Dr. Story Musgrave
Along the way Story Musgrave got tossed into many different worlds and of necessity achieved varying degrees of mastery in each of them. He soon discovered that the solutions to problems in one domain already existed in many other domains and could be creatively adapted to the problems at hand. Over the decades and within many diverse operational scenarios Story learned how to explore, leverage and live on the naturally occurring ubiquitous synergies that exist between all domains and disciplines and eventually, he developed a formal set of principles for doing just that.
At Real Business Intelligence Story will take you on this journey with real-life scenarios that precisely exhibit and confirm these principles. The take-away is your immediate ability to create totally unique solutions to current problems and spectacular future trajectories for yourselves and for your companies.
The Shape and Substance of Data and Analytics in a Distant Place and Time: Explorations of Khipu Accounting in the Inca Empire
Professor Gary Urton
The world of “business” most of us live in today takes the form of statistical data and logistical information pertaining to production, wealth, consumption, and other such matters in written form (whether in hard copy or digitized), organized in tabular formats populated by numbers. The latter take the form of numerals invented centuries ago in the Hindu-Arabic mathematical tradition that were first adopted in the West by early mercantile capitalists, especially those of the city-states of northern Italy. This data-recording and analytical tradition began in western Europe from around the beginning of the Renaissance.
This presentation takes us far from the Western world, but still during the time of the European Renaissance, to a world yet to be discovered by Westerners of the time – the Inka empire of pre-Columbian South America. The Inka recorded data pertaining to administrative matters on a knotted-string device, known as the khipu (or quipu). Most such records pertained to imperial statistics, especially those concerning such matters as censuses, tribute records, goods stored in state storehouses, and so on. This was a tradition of data, statistics and analytics that was completely alien to Europeans at the time of their first encounter with the Inkas, in the early 16th century C.E. – as well as to most of us today.
This presentation will challenge us to consider an alternative tradition of synthesizing and recording information which, it is suggested, offers unique insights into data, analytics, and the nature of “business intelligence.”
Busting Big Data Myths with Analytics By Design and Forecasting 2.0 – New Ways to See Around Corners
Dr. Kirk Borne
During this session Dr. Borne will begin with his view of the disciplines and practices of data science and advanced analytics. He will discuss major challenges and myths that impede the implementation of data analytics in organizations, and then present solutions and strategic responses to those.
Strategies include: (1) Fail fast to Learn fast with DataOps; (2) Adopt a Culture of Experimentation; and (3) Think Analytics-First by focusing on purpose, products, and outcomes.
He will introduce some novel approaches to predictive analytics that are different from standard time series forecasting. These methods are appropriate in the big data and data science era in which data sources and data formats from diverse sensors extend far beyond traditional time series. Several examples and their related stories will be presented to illustrate the concept of Forecasting 2.0. In all of these cases, our ultimate goal is to generate business value from our rich data assets.