9th Data Science UA Conference ONLINE

Leveraging big data, business analytics and artificial intelligence (AI) to deliver solutions to complex challenges is not solely the responsibility of technology and data science specialists. Rather, it’s the responsibility of organizational leadership to understand and direct these approaches to achieve their business goals. This program is designed to help senior leaders effectively manage and seize opportunities in the new environment of advanced analytics. Participants will gain a working knowledge of data science, which will enable leaders to identify the challenges that analytics, machine learning, and artificial intelligence can solve. It will also help them make the most effective investments in people, data, systems, culture and organizational structure. Led by world-class Kellogg faculty and former C-Suite practitioners experienced in working with senior executives and organizations who have successfully scaled analytics in their organizations, this cutting-edge program delivers sophisticated material in an accessible, easy-to-understand format that is immediately applicable to real-world practice.

Welcome to ScaleUp 360° Big Data, the digital summit for specialists in the fields of data analytics, machine learning & AI, data literacy and data science from German-speaking industry. Experience 2-day virtual sessions from big data specialists on strategies and successful projects in the context of smart data and data analytics.

Join fellow data & analytics leaders in Beverly Hills, California for the CDAO Exchange, January 30th - February 1st! We look forward to bringing together the data & analytics community to learn, connect and benchmark together, all while continuing to offer unmatched live speaker presentations from leading data & analytics executives.

By 2022, the global big data and business analytics market is expected to generate 274.3 billion U.S. dollars a year, according to Statista. While big data collection grows in geometric progression, only about 3 percent of it merges into the big data ecosystem. This research already highlights the challenge of finding useful data amongst the rest.