Artificial Intelligence (AI)
How To fill your data lakes and not lose control of the data
Data lakes are everywhere now that cloud services make it so easy to launch one. Secure cloud data lakes store all the data you need to become a data-driven enterprise. And data lakes break down the canonical data structures of enterprise data warehouses, enabling users to describe their data better, gain better insights and make better decisions. (more)
The fantastic voyage to digital transformation
Four ways enterprises can strengthen their data management processes with the cloud. Digital transformation is the top priority for over 40 percent of CEOs and corporate boards, and most CEOs are leading the initiative personally, according to a recent survey by British Telecom. And it’s no wonder—because the excitement is driven by what Mckinsey & Co. calls “a mass extinction event”—where over 50 percent of Fortune 500 companies have been acquired, merged, or have declared bankruptcy since 2000. (more)
Solving pharmaceutical data research & regulation problems with analytics
Nearly every organization today is data-driven, and the pharmaceutical industry is no exception — however, traditional data technologies and methods have failed the industry, leading to poor efficiency and optimization, often leading to high costs. (more)
How CFOs can lead finance digital transformation with Machine Learning & AI
While big data has created vast opportunities for data-driven finance organizations, it has also introduced new challenges — making operations complex, slow, and inefficient across a variety of organizations both old and new. (more)