The Private Equity Digital Transformation Show

Through its different techniques, machine learning allows us to look deep into our IoT data, giving us the hindsight, insight, and foresight we need to transform that data into useful information, and ultimately value. But what's the mechanism to do that? In this episode of the IoT business show, I speak with Vish Pai about the relationship between ML and the IoT platform.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast106notes

This show is brought to you by DIGITAL OPERATING PARTNERS

Related links you may find useful:

• Season 1: Episodes and show notes
• Season 1 book: IoT Inc
• Season 2: Episodes and show notes
• Season 2 book: The Private Equity Digital Operating Partner
• Training: Digital transformation certification

When talking AI in IoT what we're really talking about is machine learning in IoT, and the one thing machine learning needs above all else is data. Lot's and lots of data. Structured IoT data, when piped in properly can be transformed and loaded efficiently for machine learning to create beautiful, and more important, accurate models. In this episode of the IoT show, I speak with Anand Rao about the symbiotic relationship between AI and IoT.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast105notes

This show is brought to you by DIGITAL OPERATING PARTNERS

Related links you may find useful:

• Season 1: Episodes and show notes
• Season 1 book: IoT Inc
• Season 2: Episodes and show notes
• Season 2 book: The Private Equity Digital Operating Partner
• Training: Digital transformation certification

Although AI has been around for over 60 years, it's only been relatively recently that it's been practical to apply it to real-world problems such as those found in IoT. One, because the computational power is now available and two, because vast amounts of data are now available to train it. In this episode of the IoT show, I speak with Richard Boire about the differences between artificial intelligence and analytics in the context of IoT.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast104notes

This show is brought to you by DIGITAL OPERATING PARTNERS

Related links you may find useful:

• Season 1: Episodes and show notes
• Season 1 book: IoT Inc
• Season 2: Episodes and show notes
• Season 2 book: The Private Equity Digital Operating Partner
• Training: Digital transformation certification

Is it just semantics or is there a real difference between artificial intelligence (AI) and analytics; between machine learning (ML) and AI; between deep learning (DL) and ML, and between analytics and DL? Well, it depends on how detailed you want to go. In this episode of the IoT business show I speak with Bret Greenstein about using AI in IoT and how it's different from using analytics.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast103notes

This show is brought to you by DIGITAL OPERATING PARTNERS

Related links you may find useful:

• Season 1: Episodes and show notes
• Season 1 book: IoT Inc
• Season 2: Episodes and show notes
• Season 2 book: The Private Equity Digital Operating Partner
• Training: Digital transformation certification

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. In this episode of the IoT business show, I speak with Peter Zornio about IoT analytics in process manufacturing, and his advice is applicable to all industries.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast79notes

This show is brought to you by DIGITAL OPERATING PARTNERS

Related links you may find useful:

• Season 1: Episodes and show notes
• Season 1 book: IoT Inc
• Season 2: Episodes and show notes
• Season 2 book: The Private Equity Digital Operating Partner
• Training: Digital transformation certification

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 including the transcripts at: https://www.iot-inc.com/iot-databases-tuned-for-analytics-podcast/

This show is brought to you by DIGITAL OPERATING PARTNERS

Related links you may find useful:

• Season 1: Episodes and show notes
• Season 1 book: IoT Inc
• Season 2: Episodes and show notes
• Season 2 book: The Private Equity Digital Operating Partner
• Training: Digital transformation certification

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". In this episode of the IoT Business Show, I speak with Moritz von Plate about how the characteristics of this older-school stats make it very well suited for predictive maintenance in Industrial IoT.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast73notes

This show is brought to you by DIGITAL OPERATING PARTNERS

Related links you may find useful:

• Season 1: Episodes and show notes
• Season 1 book: IoT Inc
• Season 2: Episodes and show notes
• Season 2 book: The Private Equity Digital Operating Partner
• Training: Digital transformation certification

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. Geekfest? 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 including the transcripts at: https://www.iot-inc.com/deep-dive-internet-of-things-predictive-analytics-podcast/

This show is brought to you by DIGITAL OPERATING PARTNERS

Related links you may find useful:

• Season 1: Episodes and show notes
• Season 1 book: IoT Inc
• Season 2: Episodes and show notes
• Season 2 book: The Private Equity Digital Operating Partner
• Training: Digital transformation certification

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 including the transcripts at: https://www.iot-inc.com/internet-of-things-descriptive-analytics-discovery-podcast/

This show is brought to you by DIGITAL OPERATING PARTNERS

Related links you may find useful:

• Season 1: Episodes and show notes
• Season 1 book: IoT Inc
• Season 2: Episodes and show notes
• Season 2 book: The Private Equity Digital Operating Partner
• Training: Digital transformation certification

Listen to this analysis episode with Bruce Sinclair where he analyses the latest IoT news or practices from a business perspective. In this episode, Bruce recounts recent meetings with clients and discussions with IoT design houses to discuss the current state of the art in data analytics in IoT deployments.

Read the rest of the show analysis notes including the transcripts at: https://www.iot-inc.com/analytics-step-2-in-iot-deployment-and-thats-ok-podcast/

This show is brought to you by DIGITAL OPERATING PARTNERS

Related links you may find useful:

• Season 1: Episodes and show notes
• Season 1 book: IoT Inc
• Season 2: Episodes and show notes
• Season 2 book: The Private Equity Digital Operating Partner
• Training: Digital transformation certification