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2. SERVICE PROVIDERS

24 Aug

Posted at 03:00h in 1. IOT COMPONENTS, 2. SERVICE PROVIDERS, 4. MARKET, COMMERCIAL IOT, INDUSTRIAL IOT, INFRASTRUCTURE IOT, MEDIA, Sensors & Actuators, Vendor, Videos
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Until recently we could perform Internet of Things computations in four general areas: We could compute in an external cloud, which means on one or more servers in a data center somewhere remote. We could compute “on prem”, which means on one or more servers in the enterprises’ local network. We could compute in the fog, which means on a gateway in the OT (Operational Technology) network or on a router or switch or some other network node in the IT (Information Technology) network. Or we could compute within in the IoT device or product, which means on an on-board embedded device.
Watch this video (or read this transcript) to see Jurgo Preden discuss the state of the art in Mist computing ...

05 Aug

Posted at 06:00h in 2. SERVICE PROVIDERS, 3. BUSINESS, 4. MARKET, COMMERCIAL IOT, CONSUMER IOT, Enterprise, INDUSTRIAL IOT, INFRASTRUCTURE IOT, Risk Management, Season 1 Podcasts, Smart Homes
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Episode 62

Repeat this mantra: Privacy by Design, Privacy by Design. Although, Security by Design is a best practice followed by IoT companies in the know, its business counterpart, related to risk, isn’t chanted nearly as often as it should be. Privacy by Design should be repeated with every second breath. In this episode of the IoT Business Show
Listen to this podcast (or read the transcript) where I speak with Paul Plofchan about Privacy by Design and other privacy best practices ...

22 Jul

Posted at 00:25h in 2. SERVICE PROVIDERS, 4. MARKET, Enterprise, INFRASTRUCTURE IOT, Season 1 Podcasts, Smart Cities
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Episode 60

What’s the IQ of your city? There are a few ways to raise it to become a smart city. The bottom-up approach starts with a few IoT pilots to see what sticks and what the operational implications are. The top-down approach looks at the city as a platform providing interconnectivity.
Listen to this podcast (or read the transcript) where I speak with Miguel Gamino, San Francisco’s CIO, about his approach to make his city the smartest of them all ...

08 Jul

Posted at 04:00h in 1. IOT COMPONENTS, 2. SERVICE PROVIDERS, 4. MARKET, COMMERCIAL IOT, INDUSTRIAL IOT, INFRASTRUCTURE IOT, IoT Platform, Season 1 Podcasts, Vendor
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Episode 58

IoT platforms are commonly used to develop stand-alone IoT products, systems, environments but what do you do when you want to connect multiple IoT products? The outcome-based economy depends on it and the key lies in using platforms of platforms or common data models.
Listen to this podcast (or read the transcript) where I speak with Nigel Upton about the importance of the horizontal data model when choosing your IoT platform ...

22 Jun

Posted at 05:00h in 1. IOT COMPONENTS, 2. SERVICE PROVIDERS, 4. MARKET, COMMERCIAL IOT, INDUSTRIAL IOT, INFRASTRUCTURE IOT, MEDIA, System Integrator, Videos
1 Like


Traditional System Integrators (SIs) are setting their sights on integrating the systems of the Internet of Things. And why not; due to networking inoperability and the immature state of IoT platforms and their corresponding ecosystems, for the foreseeable future most enterprises deploying IoT are going to need a helping hand.
Watch this video (or read the transcript) video to see Jayraj Nair discuss the ins and outs of working with a System Integrator (SI) on your Internet of Things project ...

17 Jun

Posted at 08:00h in 2. SERVICE PROVIDERS, 3. BUSINESS, 4. MARKET, COMMERCIAL IOT, Consultant, CONSUMER IOT, INDUSTRIAL IOT, Risk Management, Season 1 Podcasts, Security
1 Like




Episode 56

Black hat, white hat… gray hat? What does it all mean? In this context, the different colored hats refer to the different approaches to testing the cyber security of your IT, or in our case, IoT infrastructure.
Listen to this podcast (or read the transcript) where I speak with Paul Jauregui about pen testing and other things you need to know about when working with an external security assessment firm ...

10 Jun

Posted at 05:00h in 2. SERVICE PROVIDERS, 3. BUSINESS, 4. MARKET, Business Model, Consumer Goods, CONSUMER IOT, Season 1 Podcasts, Smart Homes, Vendor
1 Like




Episode 55

Smart products are roughly 10x the cost of dumb or regular products and that’s a problem. It’s for good reason though, to make these products smart requires a lot of tech and infrastructure that needs to be paid for somehow. This will only be solved by new business models and not the types of business models we’re used to in enterprise IoT.
Listen to this analysis episode with Bruce Sinclair where he discusses the issues of pricing smart products and new business models that can help ...

26 May

Posted at 03:00h in 2. SERVICE PROVIDERS, 3. BUSINESS, 4. MARKET, Business Model, Consumer Goods, CONSUMER IOT, MEDIA, Season 1 Podcasts, Smart Homes, Vendor
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Episode 54

IoT consumer products are more expensive than their traditional counterparts, often by order of magnitude. Not good but makes sense - the tech needs to be financed. But however innovative the products are, higher pricing will cause a headwind. Part of the problem is consumer IoT products are still being sold with traditional product business models.
Listen to this podcast (or read the transcript) where I speak with Nate Williams about the opportunity to innovate consumer IoT business models ...

20 May

Posted at 02:00h in 1. IOT COMPONENTS, Analytics & AI, COMMERCIAL IOT, INDUSTRIAL IOT, INFRASTRUCTURE IOT, Vendor, Videos
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The key to value creation in the Internet of Things is the model. The model is used by both the app and analytics. It quantifies the value proposition, so the better the model, the higher the value. Developing these models in traditional markets is time consuming enough but given the volume, velocity and variety of IoT data, the load on the IoT data scientist can be overwhelming. Enter machine learning or ML for short. Machine learning can augment the skills of the data scientist by helping to select the algorithms or weighted ensemble of algorithms that provide the underlying structure for the model.
Watch this video (or read the transcript) video to see Rob Patterson discuss how machine learning is being used to help create and maintain Internet of Things models ...

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