The Internet of Things (IoT) Show with Bruce Sinclair

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Syndication

See the complete show analysis notes at: http://bit.ly/IoTpodcast31notes

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. In this episode of the IoT Business Show I speak with privacy expert Dale Smith about the top 5 best practices in handling personally identifiable information (PII) and other IoT privacy issues.

 

Read the rest of the show analysis notes at: http://www.iot-inc.com/how-iot-privacy-is-like-digital-mayonnaise-podcast

 

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If you have been enjoying this podcast for a while, please give it a review.  Click here to open iTunes where you can leave a one-click 5-star review or add your thoughts if you have more to say. If you use Stitcher Radio, you can do the same, here.  Thanks, iTunes reviews really help podcasts get noticed.

 

Ways to Subscribe to the IoT Business Show

Like what you hear?  Subscribe to get each episode delivered to your device via iTunesStitcher Radio or RSS (non-iTunes feed).

 

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Have an opinion? Join the discussion in our LinkedIn group

What do you consider to be the biggest hurdles in IoT privacy?

Click here if you have an opinion on this podcast or want to see the opinion of others

 

Direct download: internet_of_things_business_podcast_31.mp3
Category:general -- posted at: 5:57am PDT

See the complete show analysis notes at: http://bit.ly/IoTpodcast30notes

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. In this episode of the IoT Business Show I speak with Daniel Miessler about the top security risks facing IoT and how to mitigate them. This is part two of a two part interview..

 

Read the rest of the show analysis notes at: http://www.iot-inc.com/how-to-tame-iot-security-part-2-podcast

 

Help Spread the Word

If you have been enjoying this podcast for a while, please give it a review.  Click here to open iTunes where you can leave a one-click 5-star review or add your thoughts if you have more to say. If you use Stitcher Radio, you can do the same, here.  Thanks, iTunes reviews really help podcasts get noticed.

 

Ways to Subscribe to the IoT Business Show

Like what you hear?  Subscribe to get each episode delivered to your device via iTunesStitcher Radio or RSS (non-iTunes feed).

 

Of value? Help by sharing on:

 

Have an opinion? Join the discussion in our LinkedIn group

What’s the difference between Big Data and Big Data for IoT?

Click here if you have an opinion on this podcast or want to see the opinion of others

 

Direct download: internet_of_things_business_podcast_30.mp3
Category:general -- posted at: 9:30pm PDT

See the complete show analysis notes at: http://bit.ly/IoTpodcast29notes

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. In this episode of the IoT Business Show I speak with Daniel Miessler about the top security risks facing IoT and how to mitigate them. This is part one of a two part interview..

 

Read the rest of the show analysis notes at: http://www.iot-inc.com/how-to-tame-iot-security-podcast

 

Help Spread the Word

If you have been enjoying this podcast for a while, please give it a review.  Click here to open iTunes where you can leave a one-click 5-star review or add your thoughts if you have more to say. If you use Stitcher Radio, you can do the same, here.  Thanks, iTunes reviews really help podcasts get noticed.

 

Ways to Subscribe to the IoT Business Show

Like what you hear?  Subscribe to get each episode delivered to your device via iTunesStitcher Radio or RSS (non-iTunes feed).

 

Of value? Help by sharing on:

 

Have an opinion? Join the discussion in our LinkedIn group

What’s the difference between Big Data and Big Data for IoT?

Click here if you have an opinion on this podcast or want to see the opinion of others

 

Direct download: internet_of_things_business_podcast_29.mp3
Category:general -- posted at: 1:28am PDT

See the complete show analysis notes at: http://bit.ly/IoTpodcast28notes

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. In this episode of the IoT Business Show I speak with Big Data expert Mark van Rijmenam to conclude our seven-part miniseries on analytics by covering the entire array of what’s available.

 

Read the rest of the show analysis notes at: http://www.iot-inc.com/full-array-of-big-data-applied-to-iot-podcast

 

Help Spread the Word

If you have been enjoying this podcast for a while, please give it a review.  Click here to open iTunes where you can leave a one-click 5-star review or add your thoughts if you have more to say. If you use Stitcher Radio, you can do the same, here.  Thanks, iTunes reviews really help podcasts get noticed.

 

Ways to Subscribe to the IoT Business Show

Like what you hear?  Subscribe to get each episode delivered to your device via iTunesStitcher Radio or RSS (non-iTunes feed).

 

Of value? Help by sharing on:

 

Have an opinion? Join the discussion in our LinkedIn group

What’s the difference between Big Data and Big Data for IoT?

Click here if you have an opinion on this podcast or want to see the opinion of others

 

Direct download: internet_of_things_business_podcast_28.mp3
Category:general -- posted at: 4:19am PDT

See the complete show analysis notes at: http://bit.ly/IoTpodcast27notes

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. In this episode of the IoT business show I speak with Dave Rubal about how to apply descriptive analytics to your Internet of Things.

 

Read the rest of the show analysis notes at: http://www.iot-inc.com/internet-of-things-descriptive-analytics-discovery-podcast

 

Help Spread the Word

If you have been enjoying this podcast for a while, please give it a review.  Click here to open iTunes where you can leave a one-click 5-star review or add your thoughts if you have more to say. If you use Stitcher Radio, you can do the same, here.  Thanks, iTunes reviews really help podcasts get noticed.

 

Ways to Subscribe to the IoT Business Show

Like what you hear?  Subscribe to get each episode delivered to your device via iTunesStitcher Radio or RSS (non-iTunes feed).

 

Of value? Help by sharing on:

 

Have an opinion? Join the discussion in our LinkedIn group

What descriptive analytics packages do you use?

Click here if you have an opinion on this podcast or want to see the opinion of others

 

Direct download: internet_of_things_business_podcast_27.mp3
Category:general -- posted at: 7:16am PDT

See the complete show analysis notes at: http://www.iot-inc.com/deep-dive-internet-of-things-predictive-analytics-podcast

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. In this episode of the IoT Business Show I deep dive with Anil Gandhi and emerge with a better understanding of predictive analytics and how it really relates to real-time and descriptive analytics.

 

Read the rest of the show analysis notes at: http://www.iot-inc.com/deep-dive-internet-of-things-predictive-analytics-podcast

 

Help Spread the Word

If you have been enjoying this podcast for a while, please give it a review.  Click here to open iTunes where you can leave a one-click 5-star review or add your thoughts if you have more to say. If you use Stitcher Radio, you can do the same, here.  Thanks, iTunes reviews really help podcasts get noticed.

 

Ways to Subscribe to the IoT Business Show

Like what you hear?  Subscribe to get each episode delivered to your device via iTunesStitcher Radio or RSS (non-iTunes feed).

 

Of value? Help by sharing on:

 

Have an opinion? Join the discussion in our LinkedIn group

Does anything produce more value in IoT than data science?

Click here if you have an opinion on this podcast or want to see the opinion of others

 

Direct download: internet_of_things_business_podcast_26.mp3
Category:general -- posted at: 2:53am PDT

See the complete show analysis notes at: http://www.iot-inc.com/data-science-internet-of-things-analytics-podcast

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. In this episode of the IoT Business Show I speak with Ajit Jaokar about his passion, data science, and the application of machine learning, deep learning and predictive analytics in IoT. 

 

Read the rest of the show analysis notes at: http://www.iot-inc.com/data-science-internet-of-things-analytics-podcast

 

Help Spread the Word

If you have been enjoying this podcast for a while, please give it a review.  Click here to open iTunes where you can leave a one-click 5-star review or add your thoughts if you have more to say. If you use Stitcher Radio, you can do the same, here.  Thanks, iTunes reviews really help podcasts get noticed.

 

Ways to Subscribe to the IoT Business Show

Like what you hear?  Subscribe to get each episode delivered to your device via iTunesStitcher Radio or RSS (non-iTunes feed).

 

Of value? Help by sharing on:

 

Have an opinion? Join the discussion in our LinkedIn group

Does anything produce more value in IoT than data science?

Click here if you have an opinion on this podcast or want to see the opinion of others

 

Direct download: internet_of_things_business_podcast_25.mp3
Category:general -- posted at: 1:41am PDT

See the complete show analysis notes at: http://www.iot-inc.com/three-main-classes-internet-of-things-data-analytics-podcast

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. In this episode of the IoT Business Show I discuss the differences in these types of analyses with Shepherd Shi, as well as the steps that are taken before and after. 

 

Read the rest of the show analysis notes at: http://www.iot-inc.com/three-main-classes-internet-of-things-data-analytics-podcast

 

Help Spread the Word

If you have been enjoying this podcast for a while, please give it a review.  Click here to open iTunes where you can leave a one-click 5-star review or add your thoughts if you have more to say. If you use Stitcher Radio, you can do the same, here.  Thanks, iTunes reviews really help podcasts get noticed.

 

Ways to Subscribe to the IoT Business Show

Like what you hear?  Subscribe to get each episode delivered to your device via iTunesStitcher Radio or RSS (non-iTunes feed).

 

Of value? Help by sharing on:

 

Have an opinion? Join the discussion in our LinkedIn group

Did we miss anything important when describing the 3 main classes of IoT analytics?

Click here if you have an opinion on this podcast or want to see the opinion of others

 

Direct download: internet_of_things_business_podcast_24.mp3
Category:general -- posted at: 3:07am PDT

See the complete show analysis notes at: http://www.iot-inc.com/internet-of-things-podcast-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. In this episode of the IoT Business Show I speak with Nik Rouda who breaks down the data environments used in IoT today. 

 

Read the rest of the show analysis notes at: http://www.iot-inc.com/internet-of-things-podcast-23

 

Help Spread the Word

If you have been enjoying this podcast for a while, please give it a review.  Click here to open iTunes where you can leave a one-click 5-star review or add your thoughts if you have more to say. If you use Stitcher Radio, you can do the same, here.  Thanks, iTunes reviews really help podcasts get noticed.

 

Ways to Subscribe to the IoT Business Show

Like what you hear?  Subscribe to get each episode delivered to your device via iTunesStitcher Radio or RSS (non-iTunes feed).

 

Of value? Help by sharing on:

 

Have an opinion? Join the discussion in our LinkedIn group

When does it make sense for an IoT product company to build its own data environment?

Click here if you have an opinion on this podcast or want to see the opinion of others

 

Direct download: internet_of_things_business_podcast_23.mp3
Category:general -- posted at: 2:25am PDT

See the complete show analysis notes at: http://www.iot-inc.com/internet-of-things-podcast-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. In this episode of the IoT Business Show I speak with Steve Stover about balancing the costs and the technology approaches to maximize your Internet of Things data value. 

 

Read the rest of the show analysis notes at: http://www.iot-inc.com/internet-of-things-podcast-22

 

Help Spread the Word

If you have been enjoying this podcast for a while, please give it a review.  Click here to open iTunes where you can leave a one-click 5-star review or add your thoughts if you have more to say. If you use Stitcher Radio, you can do the same, here.  Thanks, iTunes reviews really help podcasts get noticed.

 

Ways to Subscribe to the IoT Business Show

Like what you hear?  Subscribe to get each episode delivered to your device via iTunesStitcher Radio or RSS (non-iTunes feed).

 

Of value? Help by sharing on:

 

Have an opinion? Join the discussion in our LinkedIn group

When, if ever, do you see edge-based analytics making most sense?

Click here if you have an opinion on this podcast or want to see the opinion of others

 

Direct download: internet_of_things_business_podcast_22.mp3
Category:general -- posted at: 1:07am PDT