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Episode 108

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?
Listen to this podcast (or read the transcript), where I speak with Drew Conway about how to find the balance between man and machine when looking for data value....




Episode 107

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?
Listen to this podcast (or read the transcript), where I speak with Curtis Seare about the tools and frameworks used to incorporate AI into IoT projects....




Episode 106

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?
Listen to this podcast (or read the transcript), where I speak with Vish Pai about the relationship between ML and the IoT platform....




Episode 105

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.
Listen to this podcast (or read the transcript), where I speak with Anand Rao about the symbiotic relationship between AI and IoT...




Episode 104

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.
Listen to this podcast (or read the transcript), where I speak with Richard Boire about the differences between artificial intelligence and analytics in the context of IoT ...




Episode 103

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.
Listen to this podcast (or read the transcript), where I speak with Bret Greenstein about using AI in IoT and how it’s different from using analytics ...




Episode 102

Over the years now, I’ve been involved in the development of tens of IoT initiatives with my clients and there is only one thing they all have in common… Every one of them pivoted. And I don’t mean little pivots, I mean 180-degree pivots. The lesson here is to pivot fast and pivot early otherwise there’s a good chance you’re not going to make it out of Pilot Purgatory.
Listen to this podcast (or read the transcript), where I speak with Phil Regenie about his early pivot and the lessons learn in taking his Senior care product to the pilot stage ...




Episode 99

In my view, delivering outcomes is IoT’s killer app. It requires the IoT platform, its technical underpinning, and the IoT ecosystem, its business underpinning, to come together in just the right way.
Listen to this podcast (or read the transcript), where I share with you three lessons from the ICIP Strategy & Digital Transformation course. The first is an overview of outcomes, also one of the major drivers of every IoT strategy. Then a digital transformation lesson on marketing and finally, an important methodology that should always be employed when starting an IoT offering – Design-Sell-Build ...




Episode 98

Business is all about creating value and then monetizing it; and it’s no different in IoT. For companies to succeed in IoT, both value creation and value monetization must be mastered.
Listen to this podcast (or read the transcript), where I share with you three lessons from the ICIP Business course. The first, an overview of the value creation framework, that walks through the four types of value creation in IoT. The next lesson is on one of the five classes of business models used in IoT – the Service business model. And the third lesson is an overview of risk management – the business counterpart to cybersecurity. This episode is a lot shorter than last week’s but packs a big punch ...




Episode 97

The technology of the software-defined product, containing the digital twin, is the most important technology in IoT – the most important because it’s directly related to creating value. Sometimes it can get a bit confusing.
Listen to this podcast (or read the transcript), where I share with you three lessons from the ICIP Technology course. The first, a simple example to demonstrate the software-defined product and digital twin. Then, an overview lesson on standards and protocols, and finally an overview lesson on IoT analytics and big data ...