2019 Real Business Intelligence

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.

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.

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.

The data center market is currently experiencing significant growth, and is forecast to be worth 59 billion by the year 2025. But while the market is growing, it is also undergoing a structural shift. Technology such as 5G, and the increasing demand for faster connectivity, will mean that in house data centers increasingly give way a hybrid model that blends the best attributes of in-house, colocation and edge computing for enhanced processing power.