In most conversations, data and AI are inextricably linked. The narrative tends to be that organizations are not using AI well if they don’t have quality data from the field feeding into AI models.

Integrating tax and sustainability with advanced data management tools is transforming traditional business practices into strategic front-office functions. Leveraging data is critical, especially in ...

Data underpins business success. As a result, more organizations are making substantial investments in data management strategies. A survey by HFS Research and Syniti found that 65% of respondents had ...

More than 400 million terabytes of digital data are generated every day, including data created, captured, copied and consumed worldwide. By 2028 the total amount of global digital data is forecast to ...

Data management, already of significant importance for operational and business intelligence purposes, has taken on a new level of priority for businesses and organizations as the wave of AI ...

In 2023, the integration of generative AI (GenAI) into the constantly evolving landscape of data management emerged as a game changer, promising to reshape the way organizations interact with ...

Customer data management is undergoing a rapid transformation, driven by a new wave of tools and technologies designed to handle the growing complexity of data ecosystems. In 2025, businesses are ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

As public sector leaders continue to navigate the rapidly evolving technological landscape, a particular focus has emerged on the potential of automation and modern data management tools. In a new ...

Increasingly, system-on-a-chip (SoC) design is a discipline that requires its practitioners to look, at least during some parts of the design process, at the big picture. Certainly, at times, it's ...

Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. Organisations also need to ...

Robotics companies often have to deal with a simple but confounding problem: Robots produce a lot of data. Even a simple robot can easily produce up to a terabyte of data per day, since they ...