The Private Equity Digital Transformation Show

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:

Direct download: new_internet_of_things_business_podcast_order48.mp3
Category:general -- posted at: 12:30am PDT

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:

Direct download: new_internet_of_things_business_podcast_order47.mp3
Category:general -- posted at: 12:30am PDT

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:

Direct download: new_internet_of_things_business_podcast_order46.mp3
Category:general -- posted at: 1:00am PDT

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:

Direct download: new_internet_of_things_business_podcast_order45.mp3
Category:general -- posted at: 1:00am PDT

1