Joe McKendrick

AI agents offer a way to move beyond batch-processing systems, which are often used to get structured data into data pipelines.

Throughout 2024, data managers and professionals were at the locus of the new waves of innovation driven by AI and analytics—and the activity was frenetic and intense. As the year 2025 progresses, this intense and frenetic activity will only continue.

A 'binary big bang' occurred when AI foundation models cracked the natural language barrier, kickstarting a shift in our technology systems: how we design them, use them, and how they operate.

A call for designing AI differently, as it is extremely difficult to manage when it goes awry.

The months and years ahead promise to be an interesting time in the data analytics space. AI and machine learning are already making their mark, elevating analytics—and its front-end sibling, business intelligence. End users are seeing their capabilities expand in new directions, with an ability to ask questions they did not even consider with earlier technology iterations. Industry leaders are tracking a range of developments that are defining analytics and BI in the year ahead:

A new tech salaries report suggests that working with AI boosts both pay and satisfaction - but it also cautions that excessive job hopping can work against you.

The slow pace of digitization was tracked in a survey of 600 executives published by Parsec Automation. The survey found that only about one-third (32%) say they have completed their digital transformation initiatives.

Employing AI for rote automation is a waste of its value

If Ben Franklin were alive today, he would have been dabbling in artificial intelligence big time.

Many business leaders are taking a clear-eyed view of the cloud's benefits and drawbacks. Technical debt may be at the root of many repatriation decisions.