The Internet of Things (IoT) Show with Bruce Sinclair (general)

The IoT Business Show is brought to you by: http://www.iot-inc.com


I don’t want to be accused of being a hammer but if you think about it, IoT is the tech behind digital transformation. If your definition of IoT doesn’t include data science like mine does, then the technologies at hand are IoT and analytics and AI. Industrie four-zero addresses this tech as well as the political, environmental, corporate and academic issues that pave the way. In this episode of the IoT Business Show, I speak with Henning Banthien about the unique and effective approach Plattform Industrie 4.0 takes in digitally transforming the discrete manufacturing industry.


Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast113notes


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Direct download: internet_of_things_business_podcast_episode113.mp3
Category:general -- posted at: 11:14pm PDT

The IoT Business Show is brought to you by: http://www.iot-inc.com


By definition, an ecosystem brings together multiple products in order to deliver an outcome. However, today’s IoT standards don’t go far enough enable different products to work together. Another layer is needed to ensure ecosystem products speak the same language. In this episode of the IoT business show, I speak with David McCall about the Open Connectivity Foundation and the codebase they provide to enable smart home products from different vendors to talk to each other – exactly what you need for any ecosystem


Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast112notes


Consider taking 60 seconds to leave an honest review and rating for the podcast on iTunes. They are extremely helpful when it comes to ranking the show and you can be sure I read every one.


And lastly, don't forget to subscribe to the podcast to get automatic updates every time a new episode goes live.

 

Direct download: internet_of_things_business_podcast_episode112.mp3
Category:general -- posted at: 11:34pm PDT

The IoT Business Show is brought to you by: http://www.iot-inc.com


No one company is big enough to provide an end-to-end industrial Internet of Things solution. Realizing this the Industrial Internet Consortium (IIC) was founded to bring together different solutions from different vendors to address different use cases. The end game however is not technology, but business – to understand what is needed to put together solutions that not only work well, but sell well. I’m a big believer in ecosystems so in this episode of the IoT Inc Business Show, I discuss the IIC with Stephen Mellor to see if this consortium is right for you.


Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast111notes


Consider taking 60 seconds to leave an honest review and rating for the podcast on iTunes. They are extremely helpful when it comes to ranking the show and you can be sure I read every one.


And lastly, don't forget to subscribe to the podcast to get automatic updates every time a new episode goes live.

 

Direct download: internet_of_things_business_podcast_episode111.mp3
Category:general -- posted at: 2:35am PDT

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 iTunes, Google PlayStitcher Radio or RSS (non-iTunes feed).

 

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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: RR-Treat_IoT_Privacy_Like_Digital_Mayonnaise.mp3
Category:general -- posted at: 6:42pm PDT

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

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.

 

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 iTunes, Google PlayStitcher 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: RR23How_to_Tame_IoTs_Frankenstein-like_Security_Monster.mp3
Category:general -- posted at: 8:57pm 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 iTunes, Google PlayStitcher 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: The_Full_Array_of_Big_Data_Applied_to_IoT.mp3
Category:general -- posted at: 10:40pm 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 iTunes, Google PlayStitcher 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: Descriptive_Analytics__Discovering_the_Story_behind_the_Data.mp3
Category:general -- posted at: 8:14pm 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 iTunes, Google Play, Stitcher 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: Predictive_Analytics_Deep_Dive__The_Shape_of_Things_to_Come.mp3
Category:general -- posted at: 12:07am PDT

The IoT Business Show is brought to you by: http://www.iot-inc.com


AI today is getting better at learning. In fact, learning is what differentiates what we call AI from advanced analytics. Machine learning algorithms minimize an error function by autonomously and iteratively adjusting their model variables. But what’s next for AI and machine learning? In this episode of the IoT business show I speak with James Canton, who in a meta way makes predictions about this prediction technology.


Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast110notes


Consider taking 60 seconds to leave an honest review and rating for the podcast on iTunes. They are extremely helpful when it comes to ranking the show and you can be sure I read every one.


And lastly, don't forget to subscribe to the podcast to get automatic updates every time a new episode goes live.

 

Direct download: Making_Predictions_About_the_Predictive_Tech_of_ML_Part_2.mp3
Category:general -- posted at: 6:55am PDT

The IoT Business Show is brought to you by: http://www.iot-inc.com


AI today is getting better at learning. In fact, learning is what differentiates what we call AI from advanced analytics. Machine learning algorithms minimize an error function by autonomously and iteratively adjusting their model variables. But what’s next for AI and machine learning? In this episode of the IoT business show I speak with James Canton, who in a meta way makes predictions about this prediction technology.


Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast110notes


Consider taking 60 seconds to leave an honest review and rating for the podcast on iTunes. They are extremely helpful when it comes to ranking the show and you can be sure I read every one.


And lastly, don't forget to subscribe to the podcast to get automatic updates every time a new episode goes live.

 

Direct download: Making_Predictions_About_the_Predictive_Tech_of_ML_Part_1.mp3
Category:general -- posted at: 5:05am PDT