a set of requirements that rely on effective data management. When combined with robust data governance, organisations can improve their approach to various important tasks, from compliance and risk ...

Universities have been cautious adopters of artificial intelligence. As they address data-management challenges while shoring up student retention and boosting enrollment, they need clear, ...

Many banks have a typically top-down perspective on enterprise risk management (ERM). This approach underestimates the importance of data, the core bottom-up enabler for ERM, and compromises the ...

Or a company looking to improve customer engagement may realize that better data management is essential for delivering personalized content. What begins as a business goal more often turns into ...

How data-savvy are social landlords? Many social landlords understand the importance of good data management because increasing numbers are hiring digital experience, or digital directors, and ...

Data management has been changing rapidly in the era of generative and agentic AI, with even more change from the vendors covered here likely in store in 2025.

When it comes to protecting healthcare data, the strategies for doing so have drawn scrutiny over the last year since the Change healthcare cyberattack. Organizations are ensuring they stay up to date ...

The critical importance of data to the enterprise and the increasing focus on data-related risks by customers, investors, and ...

Key themes include the practical application of AI, the modernization of observability practices and the critical importance of data management in modern systems. "The Thoughtworks Technology ...