Industrial Internet of Things (IoT)
To achieve value in industrial-connected systems, says Bright Wolf's James Branigan, it is critical to understand the various actors in the value delivery chain, as well as their requirements, ...
As the amount of data generated by IIoT devices climbs and new technologies continue to roll out, says VoltDB's Madhup Mishra, the importance of real-time analytics only grows.
Traditional plants need to adopt new technologies to embrace digital transformation and its value. SparkCognition's Stuart Gillen outlines how artificial intelligence fits into the connected plant ...
Continuous learning systems are now attainable for a range of industrial IoT use cases thanks to in-memory HTAP computing. GridGain's Nikita Ivanov discusses.
As AI goes from a "nice to have" to a "need to have," it's also evolving in terms of complexity. Implementing AI isn't one-size-fits-all, as Progress's Mark Troester explains.
What organizational changes and new value-chains will allow industrial firms to package and monetize IoT data successfully? More With Mobile's Ken Figueredo discusses.
Making legacy, often proprietary, systems smart isn't as easy as 1, 2, 3. Interoperability and teamwork are key to making Industry 4.0 a reality, says oneM2M's Chris Meering.