Thanks to leaps in technology, we can get a new fine-grained, high-resolution picture of aspects of our business we could never distinguish before. With machine intelligence, built on the bundle of technologies known as data science, we can see patterns, anomalies, and associations that were previously cloaked in obscurity. But this ability stems not just from technology. It also results from a new form of leadership. The type of leadership that illuminates the darkness by shattering constraints on thinking you may have long accepted—above all, the rigid belief that the best decisions always result from intuition and experience. As these constraints— those you recognize and those you do not—fall, every system and business process in your organization will reverberate with change. Every strategy in every industry will fundamentally shift.
Five years ago, I, along with my Booz Allen Hamilton colleagues, set out to discover how technology, combined with new forms of leadership and faster innovation, would affect business, government, and nonprofit organizations. After researching how hundreds of organizations are using machine intelligence, we distilled the elements that comprise the model of the winning organization of the future. Hear fascinating case studies of the top 10 uses of machine intelligence in big business today including: autonomous vehicles, manufacturing, travel, energy, finance, healthcare, retail, space exploration, government services, and social good.
Because so many data today are personal—names, credit card numbers, locations, health records—you can’t avoid tough choices about how to collect and use people’s information. These choices are often not about what’s legal but about what’s “right” and “wrong.” Making the right choice can make or break a new product, service, or mission. This talk outlines the ethical reasoning you can apply to tough decisions and detail those issues you will most likely have to wrestle. The issues boil down to how transparently you should treat your data use, handle privacy rights, safeguard data ownership, and manage security. Leaders have to get ahead of the curve of public opinion to avoid ethical questions that trigger an outcry from angry people, politicians, or both.
Angela Zutavern is a Vice President at Booz Allen and has pioneered the application of machine intelligence to organizational leadership and strategy. She is an inventor of the machine intelligence and data science strategies that are now helping business and government organizations make better decisions and gain competitive advantages. Angela led Booz Allen’s most advanced data science R&D efforts, including in the areas of deep learning and quantum machine learning. She is passionate about data science for social good and helped create the Data Science Bowl, a first-of-its-kind, world-class competition that solves global issues through machine intelligence.
She has worked with clients in every major U.S. government cabinet-level department as well as in sublevel agencies. In addition, she has advised many Fortune 500 companies and led teams across every major industry.
Angela co-authored the 2017 book The Mathematical Corporation, which explores how organizations and their leaders can beat the competition by coupling human ingenuity with the mathematical power of machine intelligence.
A frequent industry, academic, and media speaker on the power of data science, Angela convenes the Chief Data Officer (CDO) Council for the U.S. federal government community. In addition, she is actively involved in strengthening diversity and inclusion, especially in technology, and is an enthusiastic champion of women in data science. Angela also serves on the board of directors of the U.S. Immigration and Customs Enforcement (ICE) Foundation, a nonprofit organization that supports ICE employees in their homeland security and public safety missions.