Joe McKendrick

Quantum computing has the potential to accelerate sophisticated and data-intensive applications, delivering results faster than a traditional computer.

5G and edge initiatives are typically part of broader enterprise-wide digital transformation efforts.

The goal of using artificial intelligence in operations is to free IT teams up, to be bolder with their technology initiatives.

Edge computing and 5G-based application development have become the leading use cases for containers and Kubernetes.

Businesses need real-time insights to help executives understand and improve the execution of a complex web of processes.

Data professionals are spending too much time on data prep, but the quality assurance that provides ensures projects are working with clean data sets.

Manufacturers can use edge data for the full product lifecycle to gain accurate and timely insights into how their products are used by customers.

Simulations in a metaverse environment could allow manufacturers to test thousands of potential scenarios for their ecosystems to explore different strategies.

Blockchain and DLTs are increasingly being employed for applications such as shipping-container tracking, vehicle identity and history, energy trading, and farm-to-store tracking. An Industry IoT Consortium paper proposes a number of innovations to consider that would make their use more efficient.

Augmented reality can help bring IoT data and machine data to the person that’s actually trying to fix a machine in the field.

The global market for digital twins is expected to reach a value of $46.08 billion by 2026, registering a CAGR of 35.01% over the next five years.

Companies must rein in big data to ensure their industrial AI systems are delivering the right insights at the right time.