Tag: information management

Despite the fact that records management has largely disappeared from discussions about the digital workplace, it still has an important role. Here's why.

The promise of AI automation is fueling adoption across industries. But what does it mean for your business?

How confident is your chief risk officer in their risk assessment? Are they 100% confident? 90% or 80%? CROs need to understand the margin of error.

Content system procurement processes have improved, but one area remains weak: pilots. Learn how to define a pilot that delivers real answers.

Identity theft is a significant cause of cybercrime, and identity management solutions are promising to help minimize the risk.

OpenText buys Micro Focus while VMWare deepens its partnership for cloud computing with Microsoft. There is also news from Meta, HP and Hyland.

Document management systems reduce costs, minimize human error, eliminate physical damage to a file, solve retrieval issues and provide ample storage space.

A fine this large will inspire many IT leaders to crack down on unauthorized app use. What's needed is a more pragmatic approach.

The quality of data is crucial for understanding what’s happening in a company. Here's how to make sure you're getting it right.

Without an effective data management strategy, organizations are less likely to meet business targets.

Management information systems supply businesses and organizations with technologies that create an improved flow of information and better communications.

IBM's recent acquisition highlights a growing focus on the importance of data observability for digital organizations.

The past two years have driven significant growth in the IoT market — with considerable pathway left ahead.

You might soon speak with LaMDA as a friend and get it to shape your online experience.

Cybersecurity risk assessment should be an integral part of the organization’s enterprise risk management program and decision-making, not a siloed operation.

Blockchain skills are in high demand, but finding these often self-taught experts requires a more flexible recruiting approach.

A growing number of companies are looking to data fabric and data mesh to manage data. But what exactly are they, and how can they help?

Big hopes for the ROI of automation projects don't always pan out. Here's how to gain a clearer picture of if your goals are in sight.

AI isn't going to boost productivity goals in the short-term, so where should our focus lie?

As business finds increasing uses for AI, developing a model for governance of the data will be critical to staying on the right side of regulation.