This week’s podcast is full of gift suggestions from our annual gift guide, many of which are aimed at those people on your list who have a green thumb. We then discuss my disappointment with Wemo after almost a decade of using its devices, and Kevin shares his plans to eliminate data-mining services from his life. On a related note, we do a deep dive into Amazon’s Sidewalk network plans and talk about trust. From there, we discuss newfeatures for Google Assistant, an adorable AI bird feeder on Kickstarter, and my thoughts on the Chef IQ smart cooker. We end by answering a listener’s question about wearables and their accuracy.
In honor of the American Thanksgiving holiday, our guest this week is Nick Holzherr, head of product for Whisk at Samsung Next, who talks about the future of the smart kitchen and food preparation. We discuss the role recipes can play as a standard for smarter kitchens, how to solve the problem of pantry management, and why it’s so hard to build updated kitchen experiences when everyone has kitchens that are from different eras. We even discuss the challenges of personalization and how to get users to trust the services to which they’re asked to give up their personal information. It’s a good show to listen to while prepping a meal.
Hosts: Stacey Higginbotham and Kevin Tofel Guest: Nick Holzherr, Head of Whisk at Samsung Next Sponsors: Calix and Teracode
Four gift ideas for people obsessed with their plants
Amazon’s Sidewalk isn’t as invasive as you might think
The ChefIQ smart cooker combines gadgets and makes cooking easier
The future of the connected kitchen is almost here
Our guest this week is Katia Obraczka, a professor of computer science and electrical engineering at UC Santa Cruz. She’s designing a sensor network to detect and monitor wildfires. She explains how she’s handling a lack of connectivity, power constraints, and budget constraints, all while trying to build in resiliency. After all, elements of this network are in fire-prone areas, and it stands to reason some of it will burn. She discusses how she’s using simulations of the network to figure out power budgets and what types of sensors she needs. She also talks about using drones as flying access points to build in more resiliency in case other forms of connectivity burn. It’s a good way to think about building a sensor network for a harsh environment.
Hosts: Stacey Higginbotham and Kevin Tofel Guest: Katia Obraczka, a professor of computer science and electrical engineering at UC Santa Cruz Sponsors: Calix and Teracode
Project CHIP has commercial ambitions but needs a better name
TinyML is a big deal and the tools are getting better
Eero Pro is expensive but does provide quite the speed boost
What matters most in building a sensor network for detecting wildfire
Repurpose drones as flying Wi-Fi access points to make your network resilient
Our guest this week is Nate Clark, the CEO of Konnected. Three years ago he launched the company with a Kickstarter project: A replacement for motherboards inside old alarm systems, turning the existing panel and sensors into a smart security system. DIYers love the ability to control their existing sensors and Clark explains where the product is going and how he handled SmartThing’s transition from its Groovy IDE to the cloud. He ends with advice for anyone who wants to build a business in the smart home.
Our guest this week is Manolo Arana, GM of Amazon’s Sidewalk network. He explains how the network will work for consumers and device makers. For now, you’ll need an Amazon device with a Sidewalk-compatible radio in it to connect devices to the network. We also talk about how much bandwidth Amazon wants to use on your network and which radios will support the Sidewalk protocol. For those wondering when we’ll see devices for the network and how much it will cost, he talks about that too. Enjoy.
This week’s guest is a blast from the past. I am running my chat with Dan Jeavons, general manager – Data Science at Shell, who spoke at my event in July focused on machine learning at the edge. I am running his interview because ML at the edge is getting a lot more attention and Jeavons did a good job explaining what it can and can’t do yet, and how hard it is to use machine learning in edge use cases. We also talked a bit about synthetic data, another hot topic. So if you attended the event, this guest will sound familiar, but many of y’all will likely hear it for the first time.
Hosts: Stacey Higginbotham and Kevin Tofel Guest: Dan Jeavons, general manager – Data Science at Shell Sponsors: Silicon Labs and Very
Why does Apple’s Homepod mini have a Thread radio?
Which $99 smart speaker is right for you?
What inexpensive thermostats say about the smart home
Our guest this week is Mike Cerilli, VP Marketing, Commercial Digital Solutions at Ecolab, discussing how Ecolab is using Hololens and IoT to save time and keep workers away from manufacturing plants. Ecolab provides sensors and services to ensure water quality for industrial clients. Cerilli explains how different industries use water and what the company has learned after 25 years of offering a custom-designed connected sensor. He also shares tips on augmented reality and how it’s helping Ecolab keep workers remote.
Hosts: Stacey Higginbotham and Kevin Tofel Guest: Mike Cerilli, VP Marketing, Commercial Digital Solutions at Ecolab Sponsors: Perceive and Very
The average IoT project deployment takes 12 months
ARM and Nvidia’s CEOs think the deal will go through (but it will be slow)
Nest Audio fits on your shelf and sounds great for $99
Can augmented reality help cram a week’s worth of training in a few hours?
IoT is going to help companies with water use and conservation
Our guest this week is Emily Anthes, a science journalist, and the author of The Great Indoors, a book that covers how we live now. Anthes talks about how the smart home is turning into a medical device to meet the needs of the elderly and how important people still are in figuring out what to do with connected device data. She then talks about how employers are using sensors in the workplace to help boost health and productivity. However, boosting productivity can be benign or almost totalitarian depending on the employer so we discuss surveillance and how to ensure people’s rights aren’t trampled in the process of making workplaces smarter. You’ll enjoy the show.
Our guest this week is May Wang, a senior distinguished engineer at Palo Alto Networks. She’s on the show to talk about challenges associated with securing IoT devices and how to use machine learning to improve IT security. We also talk about various degrees of network segmentation, zero-trust security, and how to bring the OT and the IT worlds together to ensure that devices stay secure. For fun, we also talk about the strangest devices seen on corporate networks. See if you have something wackier to add.
Our guest this week is Linden Tibbets, the CEO of IFTTT. He’s on the show to explain the details behind IFTTT’s new Pro plan, which I’m guessing that most of the audience will want to investigate. The Pro plan offers users more complex applets, lower latency, and actual support, but it comes at a price. Tibbets explains why users can set their own price for the service for now, and how he hopes to get people to pay $9.99 a month eventually. Tibbets also explains what free users can expect and gives an update on the other side of IFTTT’s business — selling integration services to brands. If you’re an IFTTT user, you’ll want to listen to this show, and if you’re not an IFTTT user, maybe you’ll want to be after hearing the show.
Hosts: Stacey Higginbotham and Kevin Tofel Guests: Linden Tibbets, CEO of IFTTT Sponsors: Very and Ayla Networks
Project CHIP’s latest news wasn’t big, but it was encouraging
Z-Wave isn’t dead yet
This air quality sensor will predict your home’s likelihood of mold
IFTTT boosts applet creation options and makes users pay
How IFTTT is trying to warm users up to a monthly subscription fee
Our guest this week is Matan Tessler, VP of product for Otonomo, an Israeli automotive data company. He came on the show to discuss what we can do with car data. Cars can produce gigabytes of data and Otonomo can pull data in from more than 20 million vehicles, either in aggregate or individually, to provide different services. In smart cities, car data might provide detailed parking information or flag dangerous intersections. For companies, Otonomo can provide fleet management, but it also foresees a future where third-party businesses can build services such as a tire-pressure management service that ensures all the cars in a fleet have enough air in their tires. Broadly, Matan convinced me that connectivity and sensors in cars could become a platform as powerful as the mobile phone. See what you think.
Hosts: Stacey Higginbotham and Kevin Tofel Guest: Matan Tessler, VP of product for Otonomo Sponsors: Very and Silicon Labs
Surveillance tech can go two ways
Get ready for consolidation in the connected MDU world
Amazon is launching several cool new products and functions
If you think of a car like a smartphone what could you do?
How cars can help cities flag dangerous intersections