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Episode 79

There are two types of manufacturing: discrete manufacturing where the output is physical, countable things, and process manufacturing, where the output is chemistry – think oil & gas. Process manufacturing has been consistently instrumented for over two decades so it is not surprising that they’re a little ahead of their discrete counterparts on their path to IoT.
Listen to this podcast (or read the transcript) with Peter Zornio about IoT analytics in process manufacturing, and his advice is applicable to all industries ...




Episode 73

It seems like predictive analytics gets all the attention these days but generally speaking, it requires either a Data Scientist or a machine learning algorithm operating on lots of event data, in order to predict the all-important dimension of time, at least to any degree of useful certainty. Enter prognostic analytics. In a closed system of uniform conditions, prognostic analytics can make better predictions about the “when”.
Listen to this podcast (or read the transcript) with Moritz von Plate about how the characteristics of this older-school stats make it very well suited for predictive maintenance in Industrial IoT ...


Using the Internet of Things in retail virtualizes the shopping environment so it can be analysed to increase the store’s efficiency in converting foot traffic into sales.
Watch this video (or read this transcript) to see Benoit Cousin discuss how IoT is improving the physical shopping experience and the store’s relationship with its customer ...


Whether the Internet product is a discrete product, a system or infrastructure, more often than not, its end nodes are sitting in the wild – just waiting for a bad actor to get their hands on them. This physical accessibility introduces a new category of attack surfaces that need to be protected against.
Watch this video (or read this transcript) to see Vera Sell discuss edge device vulnerabilities in the Internet of Things and the best practices to follow to secure them ...


Yeah, data analytics can be complicated, but its application doesn’t need to be. Take discrete manufacturing for example. There’s lots of hype around more advanced analytic applications like predictive maintenance but that’s running before you even know how to walk. I know it doesn’t sound as sexy, but let’s start with operational efficiency.
Watch this video (or read this transcript) to see William Sobel discuss data analytics in manufacturing and why to start easy before tackling sexy predictive maintenance ...


Big data analytics is generally answering questions about the past, whereas streaming analytics answers questions about the present. But what if you could bring the two together and answer questions about the present based on what happened in the past?
Watch this video (or read this transcript) to see Eric Tran-Le discuss a state of the art analytics ...




Episode 67

They say data is the new oil. Well if that’s the case, then like oil, crude data must be refined and packaged to make it useful and consumable. If you believe, like I believe, that all incremental value from an Internet product comes from transforming its data into useful information, then external sources of data, when combined with internal data, can become very valuable, indeed.
Listen to this podcast (or read the transcript) where I speak with David Knight about third-party data markets and syndicates ...




Episode 66

It takes a lot, and I mean a lot, to get me to download yet another app on my phone, especially one that’s going to try to sell me something… but, I’m open to Retail-IoT tech. I’m not much of a physical shopper, probably because I find the whole shopping experience so dreary, but this so called offline-online convergence within retail has piqued my interest.
Listen to this podcast (or read the transcript) where I speak with Oleg Puzanov about proximity marketing and where it’s headed with IoT ...