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Episode 31

Although an integral part of IoT security, IoT privacy doesn’t rely on technology. It relies instead on self-imposed business rules that govern the way the collected data is used within and outside of the enterprise. As with many things tech, government and law is unable to keep up with the innovation of IoT and with what some call its digital exhaust.
Listen to this podcast (or read the transcript) with privacy expert Dale Smith about the top 5 best practices in handling personally identifiable information (PII) and other IoT privacy issues ...




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 ...




Episode 28

Big Data is big! It’s another entire industry that’s subsumed by the Internet of Things. There’s a lot to consider but it all starts with your business information requirements – what you get by transforming the raw sensor data you collect into business value you can use.
Listen to this podcast (or read the transcript) with Big Data expert Mark van Rijmenam to conclude our seven-part miniseries on analytics by covering the entire array of what’s available ...




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 ...




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 25

First it was Big Data and now it’s the Internet of Things; the science of data is becoming increasingly sexy, maybe not Victoria’s Secret sexy but it certainly get the juices flowing for business leaders in the know. Hot or not? Definitely hot.
Listen to this podcast (or read the transcript) with Ajit Jaokar about his passion, data science, and the application of machine learning, deep learning and predictive analytics in IoT ...




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 ...




Episode 23

Column-based versus row-based, SQL versus NoSQL and streaming versus batch are three of the most important dimensions to consider choosing your IoT database. But let’s get something clear, databases are two levels of indirection beyond what’s truly important: the IoT information you require. Databases support analytics support information. Having said that, the informed business manager on databases will ask the right questions and set the right priorities during ideation of the IoT product.
Listen to this podcast (or read the transcript) with Nik Rouda who breaks down the data environments used in IoT today ...




Episode 22

How much IoT data should you keep? It’s not clear. The more data you keep, the more data transmission and storage costs you’ll incur. However thinning out your data store means throwing away potential future insights, potential answers to future questions and potential new information products to expand your business – all value generators unique to IoT products.
Listen to this podcast (or read the transcript) with Steve Stover about balancing the costs and the technology approaches to maximize your Internet of Things data value ...