by Dr. Yan Qu, Vice President & Chief Scientist
Recently, I attended the Data Science Innovation Summit in San Diego. As a participant of such events in the past few years, I can definitely see an increase in the adoption of data-driven thinking across a variety of businesses. These days you see more and more participants from a variety of industries, such as industrials (e.g., GE), transportation (e.g., Boeing), retail (e.g., Walmart), health care (e.g., HCA Healthcare), and government (e.g., US Army) beyond the high tech businesses who are early adopters of big data. A consensus from the participants is that businesses will increasingly consider big data as a new type of corporate assets, representing a key basis for gaining competitive advantage. For many industries, however, these are still early days for big data. While it is exciting to see companies now leverage tools and infrastructure to collect data and analyze data across business units and even from their partners and customers, most companies are still far from tapping the potential of big data for decision making, creating customer value, and driving innovation.
We shared with the audience about ShareThis business and some data science initiatives at ShareThis.