Our guest this week is Paul Williams, general manager of product management & growth at GE Lighting, a Savant company. He shares the rationale behind the new Cync brand, the decision to add a security camera to the lineup of GE Lighting devices, and the thinking behind a new app planned for March. Williams also talks about other devices and how the Cync devices will and won’t tie into the Savant professional brand of products. I’m excited about the details the future Cync app will borrow from Savant, and can’t wait to see it. We end with his insights on what Project CHIP will and won’t mean for device makers. Enjoy.
Our guest this week is Sudhir Arni, senior vice president of business outcomes at Sight Machine. We start by talking about the ability to use data to help optimize for additional metrics such as sustainability. We then discuss how the ability to prioritize different metrics and more flexible production lines means that manufacturers are now able to create custom product runs designed for highly targeted audiences. We then discuss how such flexibility and customization will change the roles of manufacturing workers.
Hosts: Stacey Higginbotham and Kevin Tofel Guest: Sudhir Arni, senior vice president of business outcomes at Sight Machine Sponsor: Calix
SmartThings works with Google’s Nest devices at long last
The first video doorbell with HomeKit Secure Video is from Logitech
The ACRN hypervisor makes its industrial debut
Manufacturers can use the IoT to optimize for more than yields or profitability
More data might mean factory operations staff can go remote
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 Chris Nelson, VP of Software Development at OSIsoft. He explains what a digital twin is and isn’t and attempts to cut through some of the marketing hype about where we are in terms of building real-time updateable models of machines and manufacturing processes. If that gets too esoteric, he also tries to talk about what they mean for IoT business models and shares how digital twins might be helping us find a vaccine for COVID-19. It’s a good interview if you want to figure out what’s real and what is just marketing.
Hosts: Stacey Higginbotham and Kevin Tofel Guest: Chris Nelson, VP of Software Development at OSIsoft Sponsors: Calix and Teracode
Why Apple cares about Thread and you should too
Why not put LIDAR on a vacuum cleaner?
What it means when Honeywell’s CEO says it’s a controls company now
What’s real and hype when it comes to digital twins
How digital twins can help us discover a COVID vaccine
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 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
Our guest this week is Bill Bither, CEO of MachineMetrics, which grabs data from factory machines. He discusses the impact that COVID-19 has had on manufacturing based on aggregated client data, and best practices for dealing with the pandemic. He also dug deep on the concept of a digital thread. The digital thread is the idea that manufacturers can gather enough data to follow the life of a product from material to finished good in the field, and use data from the manufacturing process to understand how to improve quality. We also talked about sharing data across supply chains, and why that isn’t yet happening. It’s a good show.