Joe McKendrick

AI and ML applications need unified quality data from multiple silos and diverse formats that multiple workgroups can easily and securely access.

The metaverse concept was recently amplified by Facebook’s Mark Zuckerberg. Microsoft, Intel, and other technology companies are also jumping on board.

Manufacturing, healthcare, transportation, environmental monitoring, and gaming are poised for growth using 5G and edge.

Lack of automation and data security challenges are impeding the flow of enterprise information, known as the data supply chain.

Rather than focusing on the past for insights, organizations are increasingly trying to anticipate events with analytics and real-time data.

In this RTInsights Real-Time Talk podcast, RTInsights editor Joe McKendrick talks with Michelle Zhou, co-founder and CEO of Juji

A new AI-based computational framework has shown that it can create 3D visualizations from data hundreds of times faster than traditional methods.

The highly interconnected smart city that is evolving is built on having real-time data openly available and capable of being shared across agencies.

Within the next two years, more than half of new enterprise infrastructure deployed will be at the edge rather than corporate data centers.

The changes edge computing brings can be profound, and businesses will want to be in the best possible position to change as well.

Data-driven enterprises have relied on a variety of analytics tools to derive insights. Now, they must enhance those efforts with AI.

To stay competitive, experts managing modern supply chains are focusing on better visibility and use of data inside the warehouse operations.