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The Industrial IoT space has come a long way in the last year. Early on, much of the discussion seemed to focus on sensors - which assets and devices to instrument, and how. That's fine, but ultimately if all you do is collect data, that's just a cost - there is no value in that per se. And so, there was a slow dawning that analytics was the real end-game. Analytics is how value will be realized from Industrial IoT data.
Now, we're increasingly seeing the emergence of the IIoT one-stop shop, the IIoT analytics platform. I wrote about IBM's Internet of Things on Bluemix recently. And SAP just publicly announced enhanced IoT support within HANA. The attraction should be clear - it's a classic buy versus build decision. You can buy - or increasingly likely, rent in the cloud - a complete end-end IoT analytics solution. Or you can buy the various components and assemble your own customized solution. For many, that option is not as attractive as it may have been in the past. We're enjoying a period where the rate of IT innovation is very rapid. That makes picking - and supporting - winning technologies for the long-term more challenging. Given that, a flexible cloud-based, end-end platform can be a very worthy option. Not to mention, the potential for faster time-to-market.
It's not just the large established vendors building solutions here either. There are various flavors of startup, including ParStream, Exosite, Telit, Bit Stew, and xMachinaCloud to name a few. GE Predix is probably somewhere between an established vendor and a startup to be honest...
I'll be working on a research report with my colleagues at ARC in the second half of the year to review the capabilities that these platforms offer, the value they can deliver, and some of the early success stories.
Now, we're increasingly seeing the emergence of the IIoT one-stop shop, the IIoT analytics platform. I wrote about IBM's Internet of Things on Bluemix recently. And SAP just publicly announced enhanced IoT support within HANA. The attraction should be clear - it's a classic buy versus build decision. You can buy - or increasingly likely, rent in the cloud - a complete end-end IoT analytics solution. Or you can buy the various components and assemble your own customized solution. For many, that option is not as attractive as it may have been in the past. We're enjoying a period where the rate of IT innovation is very rapid. That makes picking - and supporting - winning technologies for the long-term more challenging. Given that, a flexible cloud-based, end-end platform can be a very worthy option. Not to mention, the potential for faster time-to-market.
It's not just the large established vendors building solutions here either. There are various flavors of startup, including ParStream, Exosite, Telit, Bit Stew, and xMachinaCloud to name a few. GE Predix is probably somewhere between an established vendor and a startup to be honest...
I'll be working on a research report with my colleagues at ARC in the second half of the year to review the capabilities that these platforms offer, the value they can deliver, and some of the early success stories.