Joe McKendrick

A recent survey finds growing frustration that AI isn’t being implemented fast enough across a range of industries.

Seven in 10 executives believe that long-term business success requires the integration of Industry 4.0 technologies into their operations.

Blockchain could serve as an automatic registry for ownership and maintenance status for devices and systems connected via IoT, validating ownership and state of repair.

The question is no longer whether fintech will transform financial services, but which firms will apply it best and emerge as leaders.

Business leaders need to invest more in creating a future-ready workforce to overcome skills gaps that can impede progress towards a real-time enterprise.

The ability to move to Industry 4.0 depends on an organization’s ability to scale its proofs of concept to a more industrialized level.

With full autonomy, operating costs would decline by about 45 percent, saving the US for-hire trucking industry between $85 billion and $125 billion.

As massive amounts of data are created, the cloud will extend to the edge. It won’t be cloud versus edge; it will be cloud with edge.

Bacteria may serve as the most efficient endpoint machines as they communicate effectively and have built-in engines and sensors.

The IoT security challenge has a lot to do with the way manufacturers forgo security-by-design as they rush products to market.

A recent report out of Brookings Institution finds, contrary to conventional wisdom, better-paid, better-educated workers face the most potential exposure from AI.

AI analysis may identify certain emotional traits, without providing a more holistic perspective on the person exhibiting those traits.