Turning Big Data into Actionable Stories to Improve Clinical, Health & Operational Outcomes

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.

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.

Data Science Salon will unite the brightest leaders in finance and technology across the nation in data science fields. It is the only industry conference that brings together specialists in the finance and technology data science fields to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere. Get the most current state of current industry trends and innovations in AI and ML in the Enterprise through DSS podcasts, exclusive content, Webinars, and Live Training.

DSCI aims to identify the challenging problems faced by the development of innovative knowledge and information systems, and to shape future research directions through the publication of high quality, theoretical and applied research outcomes. DSCI is going to highlight the advances in frontiers and applications of general areas such as big data, artificial intelligence, social computing, data mining, information retrieval, and machine learning. DSCI is uniquely placed to deliver fresh perspectives on data science.