Lumada 2.0, which is slated to be generally available by the end of October, includes a complete software stack to grab machine data from the edge combined with a template system to help with deployment including finding information on the equipment from which data will be grabbed, Surak said. Lumada 2.0 also can map to the sensors, run the appropriate algorithms whether included with the appliance or added by the user, and get up and running quickly, he said.
Lumada 2.0 can be deployed without the need for writing a lot of code, which is a bonus to channel partners, Surak said. The appliance collects the data, dumps it to storage, and integrates it to the analytics engine for such use cases as monitoring a piece of equipment to look for anomalies in operation.
"It ingests the data, does the analysis, and suggests action," he said. "And it's not just Hitachi equipment. It's one of the reasons I came to Hitachi Vantara. Lumada 2.0 works with any kind of data and any equipment. Hitachi's Pentaho was built on open standards, and the industry is looking for machine-agnostic offerings that can work with existing IT infrastructures."
The combination of IT and industrial technology is Hitachi Vantara's key differentiator in the IoT business when it comes to the channel, Surak said.
"It's hard to move into IoT with other technologies," he said. "But we're making it so machine data is just another type of data to store. We're extending the capabilities of our content platform to treat machine data like any data."
Hitachi Vantara is also applying its analytics capabilities to machine data and other data, Surak said. "If a CT scanner has an issue, Lumada 2.0 can look at the recorded images, maintenance data and machine data," he said. "The Lumada appliance makes it easy to add all that to the stack. And it makes it easy to get up and running quickly."
Hitachi Vantara has managed to attract some top talent since it was formed last month, Surak said.
Murphy, for instance, saw the reality of applying analytics to solve new business problems while he was with IBM Watson, as well as the importance of a product portfolio to IoT, he said. "Watson is not just a product, but an entire portfolio," he said.