Big Data Blogs

IoT, streaming data, analytics, and a little design thinking (Part 2)

A Microsoft and Element Podcast

I recently participated in a discussion with the Microsoft industry experiences team (David Starr and Diego Tamburini) to talk all things IoT, including the cultural changes data-informed decision making has on organizations.

The discussion was recorded as a podcast. This is Part 2. If you missed part 1, you can find it here.

Listen to the full-podcast here.

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IoT, streaming data, analytics, and a little design thinking (Part 1)

A Microsoft and Element Podcast

I recently participated in a discussion with the Microsoft industry experiences team (David Starr and Diego Tamburini) to talk all things IoT, including the cultural changes data-informed decision making has on organizations.

The discussion was recorded as a podcast. This is Part 1. We will be bringing you part 2 soon.

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From Hype to Reality, a Partner Ecosystem Perspective

Having spent most of my working life around technology I have seen my fair share of economic booms and busts. Apart from the meta-economic influences, the Silicon Valley cycle usually follows its own wave tied to “the next big thing”-- the wave of investment, over expectation, under delivery, and subsequent crash. This obesogenic hype environment means great ideas typically die before their time and are reborn years later when the foundational problems have been resolved.

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Leading Analyst Firm Weighs In On Industrial IoT (and that’s a good thing)

If you’re reading this, you know that one of the industrial sector’s current Holy Grails is data analysis. Industrial IoT generates huge amounts of operations data and so, the thinking goes, companies should move quickly to analyze that data. This, in turn, should pave the way to enhanced operational efficiency, smarter use of equipment, smaller environmental impacts, better worker safety and, of course, higher profits. Simple, right? Amazon, Google and Facebook profit mightily from sophisticated data analysis – so why not oil and gas, manufacturing and utility companies?

But if you’re reading this, you also know that processing, managing and integrating data from sensors, engineering systems, and transactional systems is really hard. The job generally requires deploying a battalion of people armed with spreadsheets. In the current era of algorithms and automation, managing industrial data is embarrassingly last-century.

Knowing this, it’s fair to ask if reality will ever catch up to the hype of industrial data analysis. Specifically, will a method emerge to efficiently manage and integrate industrial data so that sophisticated analytics can be performed?

We feel that Gartner, the world’s leading IT analyst firm, is increasingly focused on this question. We think that fact alone should tell you that something is up.

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Why Asset Operators Should Have Their Own Digital Twins

Digital Twins are a hot topic, landing on Tech analyst Gartner’s famed Hype Cycle and named a Top Ten Strategic Technology Trend for 2017.  Not a new idea (credit to Dr. Michael Grieves, 2002, Univ Michigan), Digital Twins are now at the forefront of Industrial /Internet of Things zeitgeist because they are essential to unlocking I/IoT value by enabling analysis, simulation and control of physical things and systems.

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