Contributor Stu Bailey shares best practices and philosophies around data cleaning and data exploration to enable successful collaboration and iteration between data science and IT teams. Read article…

CIO Senior Writer Sarah K. White gives an extensive overview of the role of a data scientist in an organization. Read article…

Contributor Paul Brunet explains that data governance is about putting a business-wide program in place to help understand which data needs to be prioritized for broad-scale use, how it should be used properly to ensure privacy and transparency, and who’s responsible for making sure this happens at the pace the business needs. Read article…

Contributor Jim Scott reviews 7 key technologies that are “re-platforming” the enterprise to enable faster, easier, more flexible access to large volumes of precious data. Read article…

Professor Thomas Davenport and Consultant Randy Bean assert that big data and AI should be focused on making sense of the corporate data explosion. They view traditional data analytics, big data, and AI as being on a continuum. The goal of all of these technologies—old and new—is to use data to make better business decisions. As the sheer volume of data increases, AI is needed to make sense of it all in a way that would have been impractical in the past. Read article…

Contributor Michael Jude explains some of the common barriers to big data adoption, and how to adapt and overcome those challenges. Read article…