Joe McKendrick

Addressing shortcomings in data management and infrastructure, as well as internal structural and process rigidities and talent deficits, loom large among challenges that are holding AI progress back.

5G can help realize the ideal of a modular factory where machinery can be quickly reconfigured to optimize production.

Digital twins enable managers and administrators to discover complexities and behavior across an entire supply chain ecosystem.

The Industry IoT Consortium (IIC) and Digital Twin Consortium have developed a series of guidelines to address the security of digital twins.

5G networks act as an enabler, driving efficiency through automation and use of technologies reliant on high-quality connectivity such as edge computing and IoT.

More business leaders and technologists are focusing on improving the data quality behind AI projects to promote more inclusive datasets to take bias out of AI results.

Nearly four in five (79%) managers agreed that data science, machine learning, and AI are critical to the overall future growth of their companies.

Edge computing is paving the way to more effective automation and monitoring of industrial assets, systems, processes, and environments are increasingly important across manufacturing industries, including transportation, electronics, mining, and textiles.

The constellation of metaverse technologies includes extended reality, blockchain, artificial intelligence, digital twins, non-fungible tokens, and smart devices.

While waiting for broader availability of 5G devices, there are significant numbers of companies operating private networks based on
technologies such as TETRA, P25, Digital Mobile Radio, GSM-R, and Wi-Fi.

A company that beats its digital transformation expectations will see more than twice the return on investment as the one that misses it.

The real-time data “provides a level of understanding commentators and fans could previously only speculate about, like the probability of making an attempted shot, the pass strength of a given team, and even which players are pressured the most often.