For AI to Go Mainstream, We Need 1 Billion Knowledge Workers. How to Get There?

We need 1 billion more for AI to go mainstream. Cultivating a new generation of such knowledge workers is one of the great challenges of the modern era. Tomorrow’s knowledge workers will be more global, work across more industries, and (as we've observed) are not always even in the office. In this session, we'll talk about the obvious and not so obvious challenges: How do we actually teach this growing and changing workforce to leverage data and AI for decision making? What technologies and applications are required to harness the opportunity? How do we up-skill them to be data driven? How do we embed existing business applications with insights from data, so professionals can make smarter decisions? Their enablement will be your organization's success. Nicole Alexander leads the global web marketing practice, supporting a diverse and dynamic team of strategists, developers, engineers and operational support, for Meta. She provides long-term vision and innovation while maintaining integrity of the Meta for Business, Instagram for Business and related sites as part of the company’s largest scaled marketing channel. Nicole has a bachelor’s degree from New York University and a global EMBA from TRIUM (NYU Stern, HEC Paris, and London School of Economics and Political Science). She has been a speaker at a number of industry and academic events on the topics of innovation and leadership, ethical AI, data privacy, and the societal impact of technology. Rachel Kurtz has been an Analytics Consultant with InterWorks for 5 years and has been working with Dataiku for just as long! Recently, she was given the status of Dataiku Neuron. With degrees in both Electrical Engineering and Data Science, she is experienced in and passionate about the holistic life cycle of data. She loves empowering users in every aspect of their analytics, from data collection and model creation to visualization.