Danske Bank brings teams together with data governance and privacy
3 min read - Danske Bank had a big question to answer: How do we make sure we have the right people, using the right data, at the right time? Founded in 1871 and based in Copenhagen, Danske Bank is Denmark’s largest financial institution…
AI Governance: Drive compliance, efficiency and outcomes from your AI lifecycle
4 min read - Artificial Intelligence has penetrated every industry in some form or another. From powering recommendation engines for consumer products to helping extend credit products in a more efficient manner, AI is becoming an imperative that no C-level executive can choose to delay.…
IBM expands data and AI excellence with data cataloging technology in Cloud Pak for Data
3 min read - Describing the breadth of IBM’s leadership and experimentation in the data and AI space is no small task. IBM has been working with more than 200 production blockchain networks, thousands of regulatory documents and datasets across industries, and hundreds of AI…
The difference between DataOps and DevOps and other emerging technology practices
3 min read - The expectation to achieve faster results continues to rise. Businesses everywhere are looking for ways to improve their operational efficiency and effectiveness to enable the best decision-making. The need to optimize typically comes to a head with the reality that…
Three ways a data catalog can help optimize your business
4 min read - There are hundreds, if not thousands, of ways to get value out of your data catalog in an enterprise. A data catalog can help you organize all your data and apply governance controls to various types of data assets. And the best…
5 things you need to look for in an enterprise data catalog
4 min read - Shopping for an enterprise data catalog can resemble shopping for a car. You know that all cars will get you from point A to point B, but you still must decide how you want to get there. Do you want a practical…
What is a data catalog and why you need one?
4 min read - Here’s a common scenario: Alex is working on a data analytics project for her retail company to better understand success of shoe sales versus jewelry and predict future sales. Her company is split up by departments, so she has to…