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Episode 110

AI today is getting better at learning. In fact, learning is what differentiates what we call AI from advanced analytics. Machine learning algorithms minimize an error function by autonomously and iteratively adjusting their model variables. But what’s next for AI and machine learning?
Listen to this podcast (or read the transcript), where I speak with James Canton to hear predictions on where the predictive technology of machine learning will go in the Internet of Things....




Episode 109

Convoluted Neural Networks or CNNs are a type of AI typically used in computer vision to process images, but they are also applicable to process the time series data we typically get from sensors in IoT.
Listen to this podcast (or read the transcript), where I speak with Simon Crosby about how these CNNs can be used to make predictions about the future and reduce the massive amounts of data we collect to just the important stuff....




Episode 108

AI and in particular, deep learning, is a powerful tool for uncovering useful relationships within data; but once found, can’t explain what they mean. Contrast this with humans, armed with tribal knowledge and more traditional analytics, who understand the data relationships but just can’t find as many of them.
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 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 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 ...