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Episode 30

It’s difficult enough to manage network security or web security or application security or mobile security but when they all come together you have the Frankenstein-like monster called IoT security. And when they all come together you have the unique challenges of security system security too – welcome to IoT.
Listen to this podcast (or read the transcript) with Daniel Miessler about the top security risks facing IoT and how to mitigate them. This is part two of a two part interview ...




Episode 29

It’s difficult enough to manage network security or web security or application security or mobile security but when they all come together you have the Frankenstein-like monster called IoT security. And when they all come together you have the unique challenges of security system security too – welcome to IoT.
Listen to this podcast (or read the transcript) with Daniel Miessler about the top security risks facing IoT and how to mitigate them. This is part one of a two part interview ...


Getting your arms around the IoT platform is still a challenge, mostly because the definition is still evolving. However if you squint your eyes a platform is either used for managing devices, managing backhaul communications or developing applications. And it lives in the cloud or on-prem or in both places at the same time. Using scope and topology is the first step in narrowing down the field while shopping for your platform.
Watch this video (or read the transcript) to see Ken Forster expertly classify IoT platforms in terms of scope and topology and describe what he considers most important when making a buying decision ...




Episode 27

Descriptive analytics is nothing new, however IoT is applying evolutionary forces to make it adapt to unstructured sensor data and evolve into a mechanism of discovery rather than report generation. Tools that blend traditional business intelligence, analytical modeling and visualization now help data scientists discover the story behind the data which can lead to valuable insights for the enterprise.
Listen to this podcast (or read the transcript) with Dave Rubal about how to apply descriptive analytics to your Internet of Things ...


The future of UX, in certain segments of Consumer and Infrastructure IoT, will be driven by storytelling and emotions. When technology disappear, it’s replaced by magic – resulting in far stronger experiences – an experiences that want to be relived time and time again. Two examples are the Roomba vacuum by iRobot and the Disney theme park magic band. And did you know that many owners of expired Roombas can’t bear to throw them away, even after they’ve been replaced? Talk about product loyalty or is that love?
Watch this video (or read the transcript) to see Matias Rodriguez describe a future of Internet of Things UX for consumer and infrastructure IoT designed to maximize user engagement ...




Episode 26

OK, get ready for it, we’re going to get down and dirty with predictive analytics and when I say dirty, I mean the mathematics of the different forms of predictive models dirty. Geek fest? Yes, but close your eyes and extrapolate how predictive analytics can be applied to your situation. By understanding how it works you will also understand the limits of what it can and cannot do.
Listen to this podcast (or read the transcript) with Anil Gandhi and emerge with a better understanding of predictive analytics and how it really relates to real-time and descriptive analytics ...




Episode 24

In the Internet of Things there are generally three classes of analytics performed: real-time analytics done of the fly alerting you to anomalies; predictive analytics performed as a post process yielding a prediction and confidence level and descriptive analytics that reports on past, present or future data with visualizations that often result in the biggest insights.
Listen to this podcast (or read the transcript) with Shepherd Shi, as well as the steps that are taken before and after ...


To quote Mark Andreessen, “Software is eating the world” in industry after industry and it’s no different in ours. Old school SCADA (Supervisory Control and Data Acquisition) hardware is being consumed by Internet of Things software. Often people ask, “What’s the difference between M2M and IoT?” Besides the scope of the networks – M2M lives on a local area network or no network while IoT lives on a wide area network – the other major difference is SCADA consists of proprietary hardware like programmable logic controllers whereas the heart of IoT is software.
Watch this video (or read the transcript) to see Ron DeSerrano compare and contrast his company’s SCADA system with its new Internet of Things platform including the business models ...


MCU architectures come in so many flavors that there will be a peripheral set to match any sensor you choose. Real decision making at the embedded chipset level is driven by the application. You choose hardware based on its capability to support software. The characteristics of your chipset’s memory, computing power and comms will come from answering a 101 questions, all answered by your IoT application’s requirements.
Watch this video (or read the transcript) to get expert advice from James Stansberry, his best practices and today’s trends in IoT embedded chipsets ...