Joe McKendrick

MIT proposes taking IoT to its next natural cognitive level. This means adding some AI across the entire IoT network to make it self-aware.

IDC sees the growth rate in IoT in the next 2-3 years as being on a trajectory to surpass $1 trillion in spending.

While a new world of technology has made the workplace more stressful with being “always on,” new tech is also helping to reduce those levels of stress.

Quantum compute capacity is set to speed up our computing speeds by enormous factors. The impact of this on today’s data-driven enterprise will be huge.

An Infosys survey of 1,000 firms shows 86 percent consider their artificial intelligence deployments to be moving along well and they are seeing benefits.

Supply chain transformation is speeding up due to the addition of billions of new IoT devices, gathering data to speed up decisions and systems.

As fog computing pushes intelligence out to the edges, planners will need to assess the “smartness” of the devices and sensors that are on their networks.

Research firm Ovum reports that streaming analytics promises to move enterprises into the real-time realm by giving streaming data meaning.

Artificial intelligence and big data have formed a truly symbiotic relationship, and they need each other to bring to fruition what both are promising.

The difference between real-time and “right time” is defined by your clients. They care less about the time frame of action than the outcome.

While many enterprise executives relish launching an IoT project soon, the best ROI will go to enterprises with the best installed infrastructure.

These are the key platforms that enable enterprise decision-makers and decision-making systems to “feel” and “sense” what is taking place around them.