Join us to explore the essentials of culture, technology and process; leveraging and evolving current investments to emerge as successful, future-ready, and hyper-decisive enterprises.
Using new theories which transcend existing data methods.
Taking a holistic approach to people, process, and technology.
Using strategic leverage of data to make your organization more competitive and create defensible barriers to entry.
Deploying practical applications today, and how humans will cooperate with it in the future.
To monetize your data through “data wrapping”.
Through data literacy programs, and a constant learning culture.
With analytics-based performance management.
A life-long Girl Scout, Sylvia Acevedo was appointed CEO of Girl Scouts of the USA in May 2017, having served as a member of the GSUSA Board of Directors from 2009 to 2016 and as an officer and member of its Executive Committee.
Since assuming leadership at Girl Scouts, Sylvia’s bold initiatives have underscored the organization’s commitment to serving all girls with cutting-edge, research-backed, and girl-centered programming that ensures the country’s workforce pipeline is filled with true go-getters, innovators, risk-takers, and leaders—what Girl Scouts call G.I.R.L.s.
Sylvia has been recognized widely for her accomplishments in STEM and business, for her education advocacy, and for her work to bring more girls into the STEM pipeline. In 2018 she was named one of Fast Company’s “100 Most Creative People in Business,” as well as “Cybersecurity Person of the Year” by Cybersecurity Ventures for her work to bring cybersecurity programming to Girl Scouts nationwide. She was also named by Forbes as one of America’s Top 50 Women in Tech.
Sylvia is the author of Path to the Stars: My Journey from Girl Scout to Rocket Scientist, a memoir for middle school students meant to inspire them to live the life of their dreams.
Bill Aulet is a Professor of the Practice at MIT Sloan in the area of entrepreneurship and is changing the way the subject is understood, taught and practiced around the world. He is an award-winning educator and author whose current work is built off the foundation of his 25-year successful business career first at IBM and then as a three-time serial entrepreneur.
Since 2009, he has been responsible for leading the development of entrepreneurship education, across IT, at the Martin Trust Center. His first book, Disciplined Entrepreneurship, released in August 2013, has been the content for three online courses taken by hundreds of thousands globally.
Dr. Barbara Wixom is a Principal Research Scientist for MIT’s Center for Information Systems Research (CISR). Her research explores how organizations deliver business value through data. She has deep expertise in data warehousing, business intelligence, and business analytics capabilities, with particular interest in organizational success, business value, and emerging trends. Prior to joining MIT CISR, she enjoyed a fifteen-year academic career at the University of Virginia, where she was a tenured faculty member at the McIntire School of Commerce.
Efosa Ojomo is a Research Fellow and leads the Global Prosperity research at the Christensen Institute for Disruptive Innovation. His work focuses on understanding how best to create prosperity in low- and middle-income countries.
In January 2019, Efosa, with co-authors Clayton Christensen and Karen Dillon, released The Prosperity Paradox: How Innovation Can Lift Nations Out of Poverty.
Previously, Efosa worked as a researcher under Professor Christensen at the Forum for Growth and Innovation at the Harvard Business School. He also co-founded Poverty Stops Here, a nonprofit organization that provides Nigerian communities with access to wells, small business microloans, and primary education for children.
Efosa earned a BS in Engineering from Vanderbilt University and an MBA from the Harvard Business School.
Iyad Rahwan of the MIT Media Lab is one of the foremost developers of AI and computer technology. Rahwan, is the AT&T Career Development Professor and leader of the MIT Media Lab’s Scalable Cooperation Group. An expert on AI and the future of work, Rahwan argues that automation will not eliminate jobs as much as the need for certain skills. Rahwan’s latest research focuses on how AI developers are ignoring the role of ethics at the risk of imperiling society. Rahwan, who is a native of Aleppo, Syria, holds a doctorate from the University of Melbourne, Australia. Rahwan’s research and writing is regularly featured in major media outlets, including The New York Times, The Economist and The Wall Street Journal.
Benson Hsu, MD, MBA, is the Vice President of Population Health at Sanford Health. Previously, he served as the Chief Medical Analytics Officer advising corporate leadership on the strategic application of healthcare analytics from big data to artificial intelligence. Prior to this role, he served as the Vice President of Enterprise Data and Analytics, leading a centralized team of over 70 members with responsibility over data and analytics use across all lines of business.
Historically, gaining competitive advantage has been achieved via patents and hardware but this evolved to a more sophisticated and dynamic model involving trade secrets and software. Today, driven by a digital revolution, we are at the beginning of a new model for entrepreneurs where they create change and defensible barriers to entry for later entrants through a new dimension, that of data. In this session, Professor Aulet will demonstrate how data can drive change and competitive advantage given this new paradigm in an engaging interactive exercise. This helps to explain why so many entrepreneurs are talking about the networking effects that are created with data and why some new ventures that drive change with data soar, while others fail.
Presented by Bill Aulet
Data is important. It helps us better understand the world around us. But have we placed an unfair burden on data - asking it to do what it was never intended to do in the first place? In a fast-paced and every-changing world, how can we more intelligently use data to help us make more accurate predictions about the future? In this talk, Efosa will introduce a familiar tool which everyone already uses - theory. So, while we don't have data about the future, we do have theories which can help us better predict what causes what - and why.
Presented by Efosa Ojomo
Girl Scouts are changing the world from every corner of the country. With 2.6 million active members, 50 million Girl Scout alumni, and a legacy that extends more than a century, Girl Scouts is continually innovating to ensure them a modern Girl Scout experience and with so many other choices and demands on girls and families time and energy, that is a big charge. But that's exactly what they’re doing through digital transformation, powered by data analytics. Girl Scouts of the USA CEO Sylvia Acevedo will speak about how Girl Scouts is creating a 360-degree view of its customer. Modern data visualization tools combined with insights from the Girl Scout Research Institute are helping Girl Scouts reach more girls, increase our impact, and support all 112 Girl Scout councils across the country.
Presented by Sylvia Acevedo
Recent rapid advances in Artificial Intelligence (AI) have raised concerns about machines competing with human workers, or becoming antisocial actors that spread fake news, make unethical decisions, or otherwise get out of human control. This talk explores various projects deployed at MIT to build a more cooperative relationship between humans and intelligent machines. Projects include: human-machine collaborative creative writing; mapping human skills to understand how to best complement imminently automatable tasks; audit and governance mechanisms for algorithms and the datasets used to train them; and experiments showing that we can cooperate even with selfish machines. Participants will walk away with a new way of thinking about data and intelligent machines, one that is founded in science and democratic values.
Presented by Dr. Iyad Rahwan
Massachusetts Institute of Technology (MIT)
70 Memorial Drive