Data Governance always has been a complicated issue for most organizations. That won’t change in a big way in 2020. In fact, the increasing prevalence of technologies like artificial intelligence (AI) and machine learning (ML) may show up some of the pains even more. Don’t take that to mean that companies aren’t becoming more mature in their approach to Data Governance, though. AI, ML, the Internet of Things (IoT), and…

Deep learning (DL) became an overnight “star” when a robot player beat a human player in the famed game of AlphaGo. Deep learning training and learning methods have been widely acknowledged for “humanizing” machines. Many of the advanced automation capabilities now found in enterprise AI platforms are due to the rapid growth of machine learning (ML) and deep learning technologies. What’s Next for Deep Learning? attempts to answer this question…

To be a data-driven business, companies need data. A lot of data. They have plenty of data in-house to work with, of course — their customer and sales data, data they get from their subscriptions to third-party data providers, and so on. But what about all that data on the web? Sourcing data from the web to help businesses with analytics has its challenges. Making sure that the data they…

Data, by itself, is just data. But put data in context—that’s when it becomes useful information. Robert Seiner, while speaking at the DATAVERSITY® Enterprise Data Governance Online Conference, said that what provides that context is metadata: “Data plus metadata equals the information that our organizations need to use to be successful.” Seiner is President and Principal of KIK Consulting and Educational Services, the publisher of The Data Administration Newsletter (TDAN),…

Meeting the company’s goals is the responsibility of everyone in the organization, so even those who aren’t directly influencing the cost or the revenue side should know what those goals are. “No matter who you are, you are directly or indirectly affecting key company metrics,” said Vanessa Lam, Business Intelligence Manager for Optoro. Lam shared with DATAVERSITY® Enterprise Data World Conference participants her experience creating and building Optoro’s Business Intelligence…

What is a company to do when Business Intelligence (BI), designed to leverage data as an asset, costs too much time and money due to failures in traditional Data Management processes, such as the prepping and cleaning of data? Should a business analyst, wanting to produce ad-hoc reports, have to be tech-savvy or wait for someone more knowledgeable to help fix these problems? Many firms are turning to self-service BI…