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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 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 ...




Episode 96

Okay, our blockchain discussion isn’t quite over yet. Let me ask the question again, is blockchain ready to transact IoT business? The answer is still a resounding “no” but let me caveat it by saying, there are newer technologies that address blockchain’s bottlenecks and deployment weaknesses.
Listen to this podcast (or read the transcript), where I speak with Ashish Mehta about the options available for those who want to incorporate blockchain-like functionality into IoT today ...




Episode 95

Is blockchain ready to transact IoT business? That’s the question I’ve been trying to answer during this mini series. While the quest has been intellectually interesting and frustrating at the same time, the answer is a resounding “no.” Although the tech is cool, blockchain is nowhere near ready to be used for business within the budgetable future.
Listen to this podcast (or read the transcript), where I speak with Rhian Lewis about the promise and challenges of transacting with blockchain, Ethereum and cryptocurrencies in IoT ...


Analyzing athlete data has been performed in high-level sports for years but it’s only recently that wearables and IoT could be realistically used to deliver useful information to athletes and coaches alike.
Watch this video (or read this transcript) to see Mounir Zok discuss how today’s wearables combined with state of the art Internet of Things technologies are advancing sport ...