Data governance has long been the backbone of responsible data management, ensuring that organizations maintain high ...

What Is Continuous Delivery?   Continuous delivery (CD) refers to a software engineering approach where teams produce ...

Signals are converging and leading me to believe that 2025 is the Year of the Knowledge Graph. But before we get carried away ...

Where Risk Gets Mispriced  It’s easy to think of AI as clean. Digital. Intangible. It lives in the cloud, responds instantly, ...

In the previous article, we looked at two age-old problems facing the IT world. The first related to an issue that is well-recognized but rarely well-addressed, namely bridging the gap between the ...

It’s easy to make the case for building a data mesh within your business. By enabling a decentralized approach to data management, data meshes can improve agility, reduce bottlenecks, and help teams ...

In 2024, our research at Dresner Advisory Services revealed that only 32% of organizations have a formal data governance organization in place. This statistic highlights a critical gap, especially as ...

Data is the supply chain for AI. For generative AI, even in fine-tuned, company-specific large language models, the data that is input into training data comes from a host of different sources. If the ...

Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even industry leaders like Charles Schwab and ...

Running a business with dirty data is like trying to drive a car blindfolded — it’s only a matter of time before disaster strikes. Dirty data doesn’t just create inefficiencies, it drains resources at ...

IoT data management refers to the process of collecting, storing, processing, and analyzing the massive amounts of data generated by Internet of Things (IoT) devices. These devices, which can range ...

In today’s data-driven world, efficiently extracting data from large datasets is crucial for businesses to gain valuable insights and make informed decisions. As data volume, variety, and velocity ...