The Noise in Modern Data Quality
The need for high-quality, trustworthy data in our world will never go away. With the growth in data, the need arises more than ever before.… Read More »The Noise in Modern Data Quality
The need for high-quality, trustworthy data in our world will never go away. With the growth in data, the need arises more than ever before.… Read More »The Noise in Modern Data Quality
In Part 1 of the blog series on building a value-driven data strategy, I discussed the challenges associated with framing the data strategy process as… Read More »Building Value-driven Data Strategy: Use Case Approach – Part 2
In the previous post, we discussed causal AI applicationsIn this post, we discuss how to develop such applicationsThe post is based on the causalnex library… Read More »Developing Causal AI applications
When XML was first introduced, the W3C XML Working Group took a very unusual step: They created a language for transformations. This effort is now… Read More »The Second Coming of XML
Ontology Hack – Make Use of Existing Enterprise Data Assets Instead of Starting from Scratch As an author of a (reasonably) popular book, I often… Read More »How to Get Started on an Ontology Without Really Trying
As 2022 starts, it’s time to ponder how our lives will change in the years ahead, thanks to the multitude of technologies available to us.… Read More »7 Completely Insane Predictions of Technology in 2022
When it comes to data and analytics investments, organizations are looking to achieve better and faster decisions. Data science/IT teams need to effectively collaborate to… Read More »DSC Webinar Series: Developing, Deploying and Managing Models at Scale
Depending on your point of view, Disaster Recovery can either seem overly complicated or unnecessary, but both of those attitudes can be problematic. The fact… Read More »DSC Webinar Series: Now’s Not the Time to Ignore Disaster Recovery. Learn What You Need to Know.
By 2030, oil & gas plays across the United States are expected to produce over 60 million barrels of water every day. Most of this… Read More »DSC Webinar Series: Project PARETO – DOE’s Produced Water Optimization Initiative
Predictive performance and resiliency are equally important requirements for model operationalization. Users would rather have resilient models with “good” performance than models that show high… Read More »DSC Webinar Series: Building Data Pipelines that Drive Highly Predictive, Resilient Models