Everyone is racing to build the topmost layer for home automation.
Everyone’s racing to build the “god platform” for the Internet of Things: the highest, most generalized layer of intelligence and user interface that ties together connected devices and web services.
It’s tempting to look for analogy in mobile phone platforms, where Apple was initially dominant and now enjoys an extremely lucrative and influential minority position against Android. There are some crucial differences, though. For starters, adoption won’t be quite as easy; domestic appliances last for a long time, and nothing consumers have seen yet makes connected laundry seem appealing enough to justify early replacement of a washing machine. And even in cases where replacement is relatively easy, the grandest promises entail stitching everything into a seamless system — replacing just the easy stuff can seem pretty lame. Read more…
Digital manufacturing is the future — reusable, composable, and rapid from top to bottom.
Editor’s note: This is part two of a two-part series reflecting on the O’Reilly Solid Conference from the perspective of a data scientist. Normally we wouldn’t publish takeaways from an event held nearly two months ago, but these insights were so good we thought they needed to be shared.
In mid-May, I was at Solid, O’Reilly’s new conference on the convergence of hardware and software. In Part one of this series, I talked about the falling cost of bringing a hardware start-up to market, about the trends leading to that drop, and a few thoughts on how that relates to the role of a data scientist.
I mentioned two phrases that I’ve heard Jon Bruner say, in one form or another. The first, “merging of hardware and software,” was covered in the last piece. The other is the “exchange between the virtual and actual.” I also mentioned that I think the material future of physical stuff is up for grabs. What does that mean, and how do those two sentiments tie together? Read more…
What “design beyond the screen” means for the industrial Internet.
Design beyond the screen is a much broader and more transformative concept than just that, though: it encompasses changes in the relationships between humans and machines and between machines and other machines. Good design beyond the screen makes interaction more fluid and elevates both people and machines to do their best work. The impact of good design beyond the screen could be huge, and could extend well beyond consumer electronics into heavy industry and infrastructure. Read more…
Government sensor networks can streamline processes, cut labor costs, and improve services.
It’s not news to anyone who works in government that we live in a time of ever-tighter budgets and ever-increasing needs. The 2013 federal shutdown only highlighted this precarious situation: government finds it increasingly difficult to summon the resources and manpower needed to meet its current responsibilities, yet faces new ones after each Congressional session.
Sensor networks are an important emerging technology that some areas of government already are implementing to bridge the widening gap between the demand to reduce costs and the demand to improve services. The Department of Defense, for instance, uses RFID chips to monitor its supply chain more accurately, while the U.S. Geological Survey employs sensors to remotely monitor the bacterial levels of rivers and lakes in real time. Additionally, the General Services Administration has begun using sensors to measure and verify the energy efficiency of “green” buildings (PDF), and the Department of Transportation relies on sensors to monitor traffic and control traffic signals and roadways. All of which is productive, but more needs to be done. Read more…
Looking at the collision of hardware and software through the eyes of a data scientist.
Editor’s note: This is part one of a two-part series reflecting on the O’Reilly Solid Conference from the perspective of a data scientist. Normally we wouldn’t publish takeaways from an event held nearly two months ago, but these insights were so good we thought they needed to be shared.
In mid-May, I was at Solid, O’Reilly’s new conference on the convergence of hardware and software. I went in as something close to a blank slate on the subject, as someone with (I thought) not very strong opinions about hardware in general.
The talk on the grapevine in my community, data scientists who tend to deal primarily with web data, was that hardware data was the next big challenge, the place that the “alpha geeks” were heading. There are still plenty of big problems left to solve on the web, but I was curious enough to want to go check out Solid to see if I was missing out on the future. I don’t have much experience with hardware — beyond wiring up LEDs as a kid, making bird houses in shop class in high school, and mucking about with an Arduino in college. Read more…
The Tango smartphone will help SPHERES navigate space station modules.
I work in the Intelligent Robotics Group (IRG) at NASA Ames Research Center, and when we got the chance to collaborate with our next-door neighbor Google on their new Project Tango, we knew exactly what to do: we’re sending the Project Tango smartphone to the International Space Station, where it will set our robots free.
Smart SPHERES with a space-ready Project Tango phone. Photo courtesy of NASA.
The collision of software and hardware has broken down the barriers between the digital and physical worlds.
Note: this post is a slightly hydrated version of my Solid keynote. To get it out in 10 minutes, I had to remove a few ideas and streamline it a bit for oral delivery; this is the full version.
In 1995, Nicolas Negroponte told us to forget about the atoms and focus on the bits. I think “being digital” was probably an intentional overstatement, a provocation to shove our thinking off of its metastable emphasis on the physical, to open us up to the power of the purely digital. And maybe it worked too well, because a lot of us spent two decades plumbing every possibility of digital-only technologies and digital-only businesses.
By then, technology had bifurcated into two streams of hardware and software that rarely converged outside of the data center, and for most of us, unless we were with a firm the size of Sony, with a huge addressable market, hardware was simply outside the scope of our entrepreneurial ambitions. It was our platform, but rarely our product. The physical world was for other people to worry about. We had become by then the engineers of the ephemeral, the plastic, and the immaterial. And in the depth of our immersion into the virtual and digital, we became, it seems, citizens of Weblandia (and congregants of the Church of Disruption).
But pendulums always swing back. Read more…
A software company reaches into the physical world with hardware.
PayPal is a software company, but when I met with Josh Bleecher Snyder, director of software engineering at PayPal, it was to talk about hardware. He’s leading the development of Beacon, PayPal’s new hands-free payment platform. At its heart is a finger-size stick that uses Bluetooth Low Energy to connect with mobile phones and confirm identity.
Paypal’s move into hardware extends its software into the physical world — a key idea behind our Solid Conference. What was once a system confined to screens and keyboards is now part of a new set of interactions in brick-and-mortar stores.
Beacon is part of a vast PayPal stack, and Bleecher Snyder’s team solved problems with a blend of hardware and software thinking — writing code in Go that was efficient enough for Beacon’s processor to be underclocked and avoid overheating, and to anticipate attacks on PayPal’s service that might come from compromised hardware. His entire system hews to PayPal’s “don’t be creepy” mantra by quickly and permanently discarding data that isn’t used in transactions. Read more…
The key to brilliant factories lies in the combination of information technology and operations systems, says GE's CIO.
Solid is about the intersection of real and virtual — the idea that, through sensors, networks, and intelligent machines, information can move fluidly between software and the physical world. It’s easy to see the technical implications of that intersection — thermostats that adjust themselves and cars that can drive autonomously — but there’s also a crucial management implication as well. Just as design can be automated and optimized if it’s encapsulated in software, a company’s operations can be made much more efficient if they’re modeled digitally before being executed.
Jamie Miller, senior vice president and chief information officer at General Electric, calls that “IT meets OT” and sees the combination changing her industry. “When you take these two disciplines that used to be separate and combine them, you can start to approach engineering and design differently, operate workflow differently, make factories brilliant.” It’s a philosophy that GE uses internally and builds into the products it sells.
Companies like GE have a lot of data — digital designs for manufactured parts, human-resources records, work orders from customers, service manuals — and this data tends to converge on human operators. A field technician might receive a work order to fix a wind turbine, visit the machine, consult documentation, call a colleague for specialized advice, order a replacement part, and finally make the repair. Read more…