Representative End User Clients
Representative Automation Clients
Representative Software Clients
It's been a busy year, as both vendors and industrial companies start to adjust for analytics of Industrial IoT data. 2016 is likely to be even busier I suspect. I expect to hear from more than a few companies: "OK, we've got the data, now what...?"
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Data Analysis Firm Palantir Technologies Discloses $129M In New Funding. Palantir have been around for over 10 years - perhaps not what we typically expect for a company pulling in more VC cash. But then Palantir isn't a typical analytics company... Much of its business to date has come from the types of government agencies that no-one really talks about. And as you can imagine, that's probably been a pretty rich market for the last decade. From the little we can tell, Palantir is probably pretty good at joining the dots in large complex datasets. How much of that is directly applicable to IIoT analytics...? I really have no idea, but it is Christmas after all...
- Microsoft invests in SnapLogic. Analytics and visualization are the glamorous bit of the data-to-action value chain. It's where the previously undiscovered insights happen. But, behind every data scientist boldly going where no man has gone before, there is basically a plumber. That is, there are people and technologies responsible for data integration - piping data together and getting it into a form that is amenable to analysis. Traditional integration tools often require coding and often follow a batch-style of thought - Extract, Transform and Load (ETL). Like everything else, integration needs to be a bit more agile these days - less coding, and more real-time integration. SnapLogic achieves this partly thorugh a Platforms-as-a-Service approach.
- And talking of Microsoft and integration, it's going to acquire Metanautix too...
- And on a similar theme, etleap is a new startup doing something broadly similar, but very focused on supporting companies that want to migrate their data to Amazon's high performance analytics engine, Redshift.
- Finally, I've written a lot about machine learning lately. It's early days for new ML industrial applications, but, the consumer side of the internet is overrun with machine learning. Netflix, Amazon, Apple, Google - and now Facebook all providing the skinny on how they apply machine learning and the technologies that underpin their applications and services.
- And on the topic of specialized hardware for machine learning, Nervana Systems is heading down that path.
Alright, that's it for 2015, I'll see you on the other side.