07 Dec To Build or Buy the IoT Platform – the Answer is Clear
Posted at 18:39h
in 1. IOT COMPONENTS, 2. SERVICE PROVIDERS, 4. MARKET, COMMERCIAL IOT, CONSUMER IOT, INDUSTRIAL IOT, IoT Platform, MEDIA, Season 1 Podcasts, Vendor
Vendor
01 Sep The GDPR is Coming Fast – What Should You Do First?
Posted at 07:00h
in 2. SERVICE PROVIDERS, 3. BUSINESS, 4. MARKET, CONSUMER IOT, Legal, MEDIA, Risk Management, Season 1 Podcasts, Vendor
Episode 91
The thing about the GDPR, whether we like it or not, is that it’s forcing us to do the right things when it comes to sensitive data in IoT. While there’s certainly a burden to bear, following its regulations on subject’s rights is a guide book on the right way to handle consumer privacy. So use its introduction as a reason to catapult this part of your business forward.Listen to this podcast (or read the transcript), where I speak with Chris Perram about the first steps to compliance and how to take them ...
28 Jul Breaking Down and Building Up IoT’s Digital Twin
Posted at 06:00h
in 1. IOT COMPONENTS, 2. SERVICE PROVIDERS, 4. MARKET, CONSUMER IOT, Digital Twin Dev, MEDIA, Season 1 Podcasts, Vendor
Episode 87
The digital twin is a federation of data and models that can be analyzed or put into a simulation to create useful information about the past, present or future of the DTs physical twin. The type of model and the level of model can make or break the analysis or simulation.Listen to this podcast (or read the transcript), where I get down and dirty with Jim Tung, breaking the digital twin down in order to understand this most important tech at both the atomic and system level ...
14 Jul The Digital Twin and its Relationship to the AEP IoT Platform
Posted at 02:00h
in 1. IOT COMPONENTS, 2. SERVICE PROVIDERS, 4. MARKET, COMMERCIAL IOT, Digital Twin Dev, INDUSTRIAL IOT, INFRASTRUCTURE IOT, IoT Platform, MEDIA, Season 1 Podcasts, Vendor
Episode 86
The IoT platform is generally thought of as networking tech – middleware to connect all the IoT components together – and often it is, but a certain class of platforms, the so-called, application enablement platforms, or AEPs, also provide the development and execution environment for the digital twin.Listen to this podcast (or read the transcript), the third in a series on the digital twin, where I speak with Jason Schern and Jeff Miller about the dt and its relationship to the AEP ...
07 Jul Modeling the Raw Data to Create IoT’s Digital Twin
Posted at 01:10h
in 1. IOT COMPONENTS, 2. SERVICE PROVIDERS, 4. MARKET, COMMERCIAL IOT, Digital Twin Dev, INDUSTRIAL IOT, INFRASTRUCTURE IOT, MEDIA, Season 1 Podcasts, Vendor
Episode 85
The reason the digital twin, or software-defined product, as I prefer to call it, is the most important IoT tech, is because it’s the basis for the unique functionality possible from using the Internet of Things. Going beyond smarts or connectivity, it is this unique functionality that creates value, enough value that results in a profitable IoT product.Listen to this podcast (or read the transcript), the second in a series on the digital twin, where I speak with Arnulf Hagen about the underlying models of the digital twin, and the high-level ways you can use them to create value ...
30 Jun Producing the Digital Twin for the Industrial Internet of Things
Posted at 03:32h
in 1. IOT COMPONENTS, 2. SERVICE PROVIDERS, 4. MARKET, COMMERCIAL IOT, Digital Twin Dev, INDUSTRIAL IOT, IoT Platform, MEDIA, Season 1 Podcasts, Vendor
Episode 84
The digital twin, or software-defined product as I prefer to call it, is the most important tech in IoT, yet you hardly hear anything about it, when compared to other IoT tech such as sensing, networking and analytics. Maybe it’s because it’s such a new and abstract concept for most people. Well, that’s about to change.Listen to this podcast (or read the transcript) with Dimitri Volkmann about producing the digital twin for the Industrial Internet of Things ...
02 Jun iRobot & IoT – Taking the Roomba to the Next Level
Posted at 02:50h
in 1. IOT COMPONENTS, 2. SERVICE PROVIDERS, 3. BUSINESS, 4. MARKET, CONSUMER IOT, Enterprise, MEDIA, Season 1 Podcasts, Vendor
Episode 81
There’s no denying it, robots are cool, even more cool when you call them cyber-physical systems, which is what they are, but they’re also IoT systems. And applying the thinking of IoT to robots makes them even cooler and more valuable because instead of being discrete systems, they can be integrated as a component of an IoT environment, working together with other components, to deliver outcomes.Listen to this podcast (or read the transcript) with Chris Jones of iRobot about the Roomba and its place in the IoT world ...
01 Mar Adding the “When” to Predictive Analytics for IoT
Posted at 03:00h
in 1. IOT COMPONENTS, 2. SERVICE PROVIDERS, 4. MARKET, Analytics & AI, Articles, COMMERCIAL IOT, INDUSTRIAL IOT, INFRASTRUCTURE IOT, MEDIA, Vendor
By Moritz von Plate
Read this article by Moritz von Plate about how to set up Prognostics to help answer the "when" question for optimized maintenance decisions ...
27 Jan Your IoT Journey – Taking the Right Steps
Posted at 04:00h
in 2. SERVICE PROVIDERS, 3. BUSINESS, 4. MARKET, Business Plan, COMMERCIAL IOT, INDUSTRIAL IOT, INFRASTRUCTURE IOT, Manufacturing, MEDIA, Oil & Gas, Season 1 Podcasts, Smart Cities, Uncategorized, Vendor
Episode 74
Let’s face it, deploying IoT within a company, especially a large one, is an exercise in change management. To be successful on this multi-year journey takes a lot of planning, getting your priorities straight, some politicking and a bit of luck. There’s no need to reinvent the wheel, learn from your peers.Listen to this podcast (or read the transcript) with Maciej Kranz who shares his experience in what works and what fails miserably ...
23 Dec Prognostic Analytics vs Predictive Analytics in IoT
Posted at 05:00h
in 1. IOT COMPONENTS, 2. SERVICE PROVIDERS, 4. MARKET, Analytics & AI, COMMERCIAL IOT, INDUSTRIAL IOT, INFRASTRUCTURE IOT, Manufacturing, MEDIA, Season 1 Podcasts, Vendor
Episode 73
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”.Listen to this podcast (or read the transcript) with Moritz von Plate about how the characteristics of this older-school stats make it very well suited for predictive maintenance in Industrial IoT ...
