The O’Reilly Design Podcast: Moving from GUI to VUIs.
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In this week’s Design Podcast episode, I sit down with Tanya Kraljic, UX manager and principal designer at Nuance Communications. Kraljic recently spoke at OReilly’s inaugural Design Conference (you can find the complete video compilation of the event here). In this episode, we talk about the challenges of moving from graphical to voice interfaces, the voice tools ecosystem, and where she finds inspiration.
Here are a few highlights from our conversation:
We’re seeing a renewed emphasis on design at Nuance—actually, much like in the technology industry as a whole. We’ve always had great engineers who are building this very complex, very cutting-edge technology. Now, we’re augmenting that with a human-centered approach to product strategy and development, which I think we’re already seeing as accelerating innovation in our own company and, hopefully, it will also help create better and more usable solutions as voice becomes available in all these different technologies.
The O’Reilly Hardware Podcast: Observations from the Consumer Electronics Show.
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David Cranor and I have devoted this episode of the Hardware Podcast to a recap of the 2016 Consumer Electronics Show. It’s probably the last recap you’ll hear, since the show happened four weeks ago, but that just means it’s had more time to marinate.
Signs of the new hardware movement were everywhere this year in the innovative new products as well as the cloud of fast-follower devices that surrounded each successful piece of hardware.
Items of note:
- DJI and GoPro have defined the standard design and functionality languages in their fields, and are imitated by nearly every other drone and action cam on display.
- Hoverboards are the first electronics fad that has come straight from Shenzhen. During CES, U.S. marshals raided a Chinese exhibitor’s booth due to a patent infringement claim from the U.S. maker of the Onewheel scooter.
- VR was everywhere, with Samsung’s Gear VR headset particularly ubiquitous
- It’s always interesting to see companies that you wouldn’t necessarily expect at an electronics trade show. We talk about how companies such as MasterCard and United Health were associating themselves with the industry at CES.
- 3D printing has moved into the downward section of Gartner’s hype cycle
The O'Reilly Radar Podcast: FEMA's Innovation Team and practicing leadership as if it's an Olympic sport.
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O’Reilly’s Jenn Webb chats with Eric McNulty, a consultant, writer, speaker, and catalyst for positive leadership. McNulty talks about real-time disaster response, the connections between disaster response and organizational leadership, and how today’s leaders can achieve order beyond control and influence beyond authority. McNulty will talk more about instituting effective leadership at the Cultivate leadership training at Strata + Hadoop World in San Jose in March.
Here are a few highlights:
Right after Hurricane Sandy, I was here in New York and New Jersey, and FEMA deployed their first ever Innovation Team, which meant they were trying to innovate in the midst of disaster response. … They were coming together and building mesh networks in some cases. They were crowdsourcing evaluation of photographs. They would get the Civilian Air Patrol to do overviews of the effected areas. They’d upload that and people anywhere in the country could look at it and give it a basic evaluation of severe, moderate, or mild in terms of the damage. They were able to get situational awareness very quickly the way they never would have been able to otherwise. … They were able to innovate in real time in the field and see what worked and what didn’t; the then deputy administrator, who is now a colleague of mine at Harvard, said it fundamentally changed the way FEMA operates.
The O’Reilly Data Show podcast: Eric Colson on algorithms, human computation, and building data science teams.
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In this episode of the O’Reilly Data Show, I spoke with Eric Colson, chief algorithms officer at Stitch Fix, and former VP of data science and engineering at Netflix. We talked about building and deploying mission-critical, human-in-the-loop systems for consumer Internet companies. Knowing that many companies are grappling with incorporating data science, I also asked Colson to share his experiences building, managing, and nurturing, large data science teams at both Netflix and Stitch Fix.
Augmented systems: “Active learning,” “human-in-the-loop,” and “human computation”
We use the term ‘human computation’ at Stitch Fix. We have a team dedicated to human computation. It’s a little bit coarse to say it that way because we do have more than 2,000 stylists, and these are very much human beings that are very passionate about fashion styling. What we can do is, we can abstract their talent into—you can think of it like an API; there’s certain tasks that only a human can do or we’re going to fail if we try this with machines, so we almost have programmatic access to human talent. We are allowed to route certain tasks to them, things that we could never get done with machines. … We have some of our own proprietary software that blends together two resources: machine learning and expert human judgment. The way I talk about it is, we have an algorithm that’s distributed across the resources. It’s a single algorithm, but it does some of the work through machine resources, and other parts of the work get done through humans.