Below are five key steps D&A leaders can take to build a business case for continuous data quality assurance, in order to ...

In 2025, the AI landscape is undergoing a transformative shift, expanding into two critical new layers: the application layer and the data infrastructure layer.

Success in most organizations relies heavily ... driven culture acts as a forcing function to help ensure that data is high quality and can be trusted, accessible to the right people, and can ...

The fast pace of emerging technology adoption is increasing pressure on telecom operators to meet demands and implement AI.

So, how do data & analytics leaders ensure data quality and success of their data projects? These best practices might come handy: Set Data standards: Duplicate data, incomplete fields and ...

As we navigate the challenges facing our industry, we must prioritize both efficiency and integrity – and focus on quality ...

Around 1 in 4 executives say AI projects surpassed expectations, mainly in IT operations, software development and marketing.

The MTA is already trumpeting the success of its controversial ... cut the number of cars on the road — although data about revenue and air quality is still forthcoming. Juliette Michaelson ...

As AI technology continues to evolve, its impact on marketing will only grow. Future advancements are likely to bring even ...