Joe McKendrick

Industrial IoT paves the way for industrial companies to shift from selling products to delivering services and solutions.

Disruptions of supply chains are hopefully temporary. Yet, they point to data and analytics gaps hindering the ability to connect products with consumers.

COVID boosted the use of AI-based chatbots that detect human emotions. Researchers are developing other applications that use similar technology.

Sport is on the cusp of a major digital transformation, especially considering the rise of real-time sports analytics, AI, and the Internet of Things.

Predictive analytics can help narrow the chasm between data analytics professionals and the business people who benefit from their activities.

Quantum computing can greatly accelerate the ability to analyze data coming in from the grid to re-route and re-allocate resources.

A recent survey reveals an increased upward lift in AI adoption across industries including energy, manufacturing, heavy industry, infrastructure, and transport sectors

There are two types of real-time machine learning systems. One type makes predictions in real-time, the other updates models in real-time.

A new system uses AI to automatically find relevant broadcast-quality video clips from any broadcaster and embed them in an article in seconds.

Emotion AI is about understanding the behaviors that let you measure and influence the emotions in an interaction.

Today’s leading technology initiatives from AI to edge computing to digital twins are all made possible with IoT.

Artificial intelligence and machine learning, once mainly seen on the supercomputers of the world, are now prime candidates for deployment at the edge.