In my experience working with data engineering and AI, I’ve come to realize that data governance isn’t just about ...

The State CIO Survey reveals challenges in data literacy and integration, impacting the output of generative AI in government ...

While the lift-and-shift approach seems like a quick and cost-effective solution, it creates more problems than it solves.

Artificial intelligence (AI) is a transformative technology offering the dramatic potential to revolutionize the way we work.

The industry faces several data quality challenges, including data governance, data silos, and data integration. To overcome these, pharma companies are turning to modern master data management ...

Currently, India matches Australia and New Zealand (ANZ) with about 20% of organisations having advanced AI capabilities.

Learn step-by-step techniques for preparing data and fine-tuning large language models to achieve exceptional performance.

The generative AI early adopter has worked to improve data management as it aims for better model accuracy and performance to ...

The coolest data management and integration tool companies of the 2025 Big Data 100 include Informatica, Airbyte, Confluent ...

A week or so ago, Google Analytics made some updates to how it handles campaign data quality and attribution reporting. Many ...

The financial terms of the deal were not disclosed, but Datadog stressed that Metaplane will help to accelerate its push into the area of data observability, where it already offers a number of its ...

But those efforts often fall short because the data and analytic systems and processes that support those initiatives produce low-quality results. More recently, the wave of artificial ...