IOT CATEGORIES
MOST POPULAR TAGS

CONSUMER IOT




Episode 25

First it was Big Data and now it’s the Internet of Things; the science of data is becoming increasingly sexy, maybe not Victoria’s Secret sexy but it certainly get the juices flowing for business leaders in the know. Hot or not? Definitely hot.
Listen to this podcast (or read the transcript) with Ajit Jaokar about his passion, data science, and the application of machine learning, deep learning and predictive analytics in IoT ...




Episode 24

In the Internet of Things there are generally three classes of analytics performed: real-time analytics done of the fly alerting you to anomalies; predictive analytics performed as a post process yielding a prediction and confidence level and descriptive analytics that reports on past, present or future data with visualizations that often result in the biggest insights.
Listen to this podcast (or read the transcript) with Shepherd Shi, as well as the steps that are taken before and after ...


MCU architectures come in so many flavors that there will be a peripheral set to match any sensor you choose. Real decision making at the embedded chipset level is driven by the application. You choose hardware based on its capability to support software. The characteristics of your chipset’s memory, computing power and comms will come from answering a 101 questions, all answered by your IoT application’s requirements.
Watch this video (or read the transcript) to get expert advice from James Stansberry, his best practices and today’s trends in IoT embedded chipsets ...




Episode 23

Column-based versus row-based, SQL versus NoSQL and streaming versus batch are three of the most important dimensions to consider choosing your IoT database. But let’s get something clear, databases are two levels of indirection beyond what’s truly important: the IoT information you require. Databases support analytics support information. Having said that, the informed business manager on databases will ask the right questions and set the right priorities during ideation of the IoT product.
Listen to this podcast (or read the transcript) with Nik Rouda who breaks down the data environments used in IoT today ...


One of the value power sources for an IoT application is external data, that when piped in, can be used to augment its functionality. Of all sources of external data, weather is probably the most ubiquitous and useful. Like many data services, the API is built on a tiered billing system. Come in for free as a developer or hobbyist but once you get over 500 hits per day you start paying.
Watch this video (or read the transcript) to hear Brendan Hayes describe the Weather Company’s API and business model to access it...




Episode 22

How much IoT data should you keep? It’s not clear. The more data you keep, the more data transmission and storage costs you’ll incur. However thinning out your data store means throwing away potential future insights, potential answers to future questions and potential new information products to expand your business – all value generators unique to IoT products.
Listen to this podcast (or read the transcript) with Steve Stover about balancing the costs and the technology approaches to maximize your Internet of Things data value ...




Episode 21

On the surface, building your own IoT cloud seems pretty straightforward, but brush away some of the fluff and you’ll find the non-trivial issues of data velocity, message processing, scalability, redundancy and robustness.
Listen to this podcast (or read the transcript) with Dan Collins, its differences with the IT cloud and the issues to consider when building or buying ...


In addition to the technical considerations and price, compare the development support system in place for each manufacturer when shopping for your embedded wireless solution. How mature is the software development kit (SDK) and hardware platform? How broad is the ecosystem of development partners and is there an online forum or will you get 1:1 attention?
Watch this video (or read the transcript) to hear Brian Bedrosian explain best practices and trends in the embedded wireless market and the ecosystem needed to be successful ...




Episode 20

To go beyond connectivity, the IoT Platform must abstract all components of the Internet of Things product or environment into a form that can be computed and interfaced with the app, model and analytics. I call this the software-defined product, or in the case of home automation, the software-defined home.
Listen to this podcast (or read the transcript) with Jim Hunter and the importance of abstraction – from the metal to the cloud ...


This interview was from the gogoNET LIVE! 4 conference. Joachim keynoted with the presentation, “IoT needs IP and IPv6 will drive IoT”, making the argument that for IoT to grow and reach its full potential it has to move away from proprietary siloed technologies and rest on IPv6.
Watch this video (or read the transcript) to hear Joachim Lindborg’s perspective on how he believes IPv6 will be the killer app in the connected home by enabling interconnectivity between all devices ...