The business world is in the midst of a radical transformation. Conventional data analytics tools such as BI are no longer enough to keep organizations on the leading edge of innovation. Artificial ...

As employees and teams increasingly experiment with AI, unchecked or unauthorized use can create risks related to security, compliance, accuracy, bias and data exposure.

Artificial intelligence is no longer a future consideration for life sciences; it is actively reshaping how validation and quality teams work today. But adoption without governance is a liability. For ...

Generative AI introduces new risks, challenges, and opportunities for how organizations source and use data. Here are four ways data governance teams are rising to the occasion. Data governance was on ...

Janani Dumbleton, principal consultant at Experian UK, explains why data governance is significant to the success of your business, and outlines how to implement it More and more organisations are ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. State government needs policies and procedures to ensure data is ...

The imperative for leaders is to pioneer responsible AI practices that sustain core business values without jeopardizing ethics or either stakeholder or user trust. Steps to ethical AI application ...

A non-invasive, human-centred method meets people where they are, focuses on practical value and builds from the inside out. By Bryn Davies, CEO, InfoBluePrint. Johannesburg, 16 Sept 2025 Bryn Davies, ...

As enterprises rush to bring AI into business processes, data analytics is near the top of most of their wish lists. Injecting AI into data analytics promises benefits that range from improved cost ...

Just when you thought managing the data security risks around GenAI and getting a handle on growing shadow GenAI were enough, here comes a new wrinkle. Regulatory and legal demands for securing GenAI ...

Trilateral Research’s Amelia Williams examines a growing blind spot in enterprise A.I. adoption: procurement. As ...