"Radar Podcast" entries
The O'Reilly Radar Podcast: Neal Ford on the changing role of software architects and the rise of microservices.
In this episode of the Radar Podcast, O’Reilly’s Mac Slocum sits down with Neal Ford, a software architect and meme wrangler at ThoughtWorks, to talk about the changing role of software architects. They met up at our recent Software Architecture Conference in Boston — if you missed the event, you can sign up to be notified when the Complete Video Compilation of all sessions and talks is available.
Slocum started the conversation with the basics: what, exactly, does a software architect do. Ford noted that there’s not a straightforward answer, but that the role really is a “pastiche” of development, soft skills and negotiation, and solving business domain problems. He acknowledged that the role historically has been negatively perceived as a non-coding, post-useful, ivory tower deep thinker, but noted that has been changing over the past five to 10 years as the role has evolved into real-world problem solving, as opposed to operating in abstractions:
“One of the problems in software, I think, is that you build everything on towers of abstractions, and so it’s very easy to get to the point where all you’re doing is playing with abstractions, and you don’t reify that back to the real world, and I think that’s the danger of this kind of ivory-tower architect. When you start looking at things like continuous delivery and continuous deployment, you have to take those operational concerns into account, and I think that is making the role of architect a lot more relevant now, because they are becoming much more involved in the entire software development ecosystem, not just the front edge of it.”
The O'Reilly Radar Podcast: John Carnahan on holistic data analysis, engagement channels, and data science as an art form.
In this Radar Podcast episode, I sit down with John Carnahan, executive vice president of data science at Ticketmaster. At our recent Strata + Hadoop World Conference in San Jose, CA, Carnahan presented a session on using data science and machine learning to improve ticket sales and marketing at Ticketmaster.
I took the opportunity to chat with Carnahan about Ticketmaster’s evolving approach to data analysis, the avenues of user engagement they’re investigating, and how his genetics background is informing his work in the big data space.
When Carnahan took the job at Ticketmaster about three years ago, his strategy focused on small, concrete tasks aimed at solving distinct nagging problems: how do you address large numbers of tickets not sold at an event, how do you engage and market those undersold events to fans, and how do you stem abuse of ticket sales. This strategy has evolved, Carnahan explained, to a more holistic approach aimed at bridging the data silos within the company:
“We still want those concrete things, but we want to build a bed of data science assets that’s built on top of a company that’s been around almost 40 years and has a lot of data assets. How do we build the platform that will leverage those things into the future, beyond just those small niche products that we really want to build. We’re trying to bridge the gap between a lot of those products, too. Rather than think of each of those things as a vertical or a silo that’s trying to accomplish something, it’s how do you use something that you’ve built over here, over there to make that better?”
The O'Reilly Radar Podcast: Martin Charlier on industrial and interaction design, reflecting societal values, and unified visions.
Editor’s note: Martin Charlier will present a session, Prototyping User Experiences for Connected Products, at the O’Reilly Solid Conference, June 23 to 25, 2015, in San Francisco. For more on the program and information on registration, visit the Solid website.
Designing for the Internet of Things is requiring designers and engineers to expand the boundaries of their traditionally defined roles. In this Radar Podcast episode, O’Reilly’s Mary Treseler sat down with Martin Charlier, an independent design consultant and co-founder at Rain Cloud, to discuss the future of interfaces and the increasing need to merge industrial and interaction design in era of the Internet of Things.
Charlier stressed the importance of embracing the symbiotic nature of interaction design and service design:
“How I got into Internet of Things is interesting. My degree from Ravensbourne was in a very progressive design course that looked at product interaction and service design as one course. For us, it was pretty natural to think of product or services in a very open way. Whether they are connected or not connected didn’t really matter too much because it was basically understanding that technology is there to build almost anything. It’s really about how you design with that mind.
“When I was working in industrial design, it became really clear for me how important that is. Specifically, I remember one project working on a built-in oven … In this project, we specifically couldn’t change how you would interact with it. The user interface was already defined, and our task was to define how it looked. It became clear to me that I don’t want to exclude any one area, and it feels really unnatural to design a product but only worry about what it looks like and let somebody else worry about how it’s operated, or vice versa. Products in today’s world, especially, need to be thought about from all of these angles. You can’t really design a coffee maker anymore without thinking about the service that it might plug into or the systems that it connects to. You have to think about all of these things at the same time.”
The O'Reilly Radar Podcast: Balaji Srinivasan on the bigger picture of bitcoin, liquid markets, and the future of regulation.
The promise of bitcoin and blockchain extends well beyond its potential disruption as a currency. In this Radar Podcast episode, Balaji Srinivasan, a general partner at Andreessen Horowitz, explains how bitcoin is an enabling technology and why it’s like the Internet, in that “bitcoin will do for value transfer what the Internet did for communication — make it programmable.” I met up with Srinivasan at our recent O’Reilly Radar Summit: Bitcoin & the Blockchain, where he was speaking — you can see his talk, and all the others from the event, in the complete video compilation now available.
The bigger picture of bitcoin
More than just a digital currency, bitcoin can serve as an instigator for new markets. Srinivasan explained the potential for everything to become a liquid market:
“Bitcoin is a platform for programmable money, programmable interchange, or anything of value. That’s very general. People have probably heard at this point about how you can use a blockchain to trade — in theory — stocks, or houses, or other kinds of things, but programmable value transfer is even bigger than just trading things which we know already exist.
“One analogy I would give is in 1988, it was not possible to find information on anything instantly. Today, most of the time it is. From your iPhone or your Android phone, you can google pretty much anything. In the same way, I think what bitcoin is going to mean, is markets in everything. That is, everything will have a price on it — everything will be a liquid market. You’ll be able to buy and sell almost anything. Where today the fixed costs of setting up such a market is too high for anything other than things that are fairly valuable, tomorrow it’ll be possible for even images or things you would not even think of normally buying and selling.”
The O'Reilly Radar Podcast: Tim Gardner on the synthetic biology landscape, lab automation, and the problem of reproducibility.
Editor’s note: this podcast is part of our investigation into synthetic biology and bioengineering. For more on these topics, download a free copy of the new edition of BioCoder, our quarterly publication covering the biological revolution. Free downloads for all past editions are also available.
Tim Gardner, founder of Riffyn, has recently been working with the Synthetic Biology Working Group of the European Commission Scientific Committees to define synthetic biology, assess the risk assessment methodologies, and then describe research areas. I caught up with Gardner for this Radar Podcast episode to talk about the synthetic biology landscape and issues in research and experimentation that he’s addressing at Riffyn.
Defining synthetic biology
Among the areas of investigation discussed at the EU’s Synthetic Biology Working Group was defining synthetic biology. The official definition reads: “SynBio is the application of science, technology and engineering to facilitate and accelerate the design, manufacture and/or modification of genetic materials in living organisms.” Gardner talked about the significance of the definition:
“The operative part there is the ‘design, manufacture, modification of genetic materials in living organisms.’ Biotechnologies that don’t involve genetic manipulation would not be considered synthetic biology, and more or less anything else that is manipulating genetic materials in living organisms is included. That’s important because it gets rid of this semantic debate of, ‘this is synthetic biology, that’s synthetic biology, this isn’t, that’s not,’ that often crops up when you have, say, a protein engineer talking to someone else who is working on gene circuits, and someone will claim the protein engineer is not a synthetic biologist because they’re not working with parts libraries or modularity or whatnot, and the boundaries between the two are almost indistinguishable from a practical standpoint. We’ve wrapped it all together and said, ‘It basically advances in the capabilities of genetic engineering. That’s what synthetic biology is.'”
In this O'Reilly Radar Podcast: David Rose on fairy tale inspiration, and Simon King on designing for future context.
In this podcast episode, David Rose, an instructor at MIT’s Media Lab and CEO at Ditto Labs, sits down with Mary Treseler, O’Reilly’s director of strategic content for our design space. In the interview, Rose defines his mission: “to make technology more elegant, more embedded, and hopefully, more humane.” Technology itself isn’t what drives Rose — he’s looking for inspiration in places that have captured and fueled our imaginations for centuries:
“I’m trying to be very, sort of, fairy-tale driven rather than tech driven. In the book [Enchanted Objects], I go back to some of the patterns that are revealed through Hans Christian Andersen or the Brothers Grimm or other pop culture, like spy culture or Harry Potter or Frodo, and I try to think about what those technologies are or how those services are transferable from one person to another.
“Super powers like Superman’s ability to fly don’t count because he can’t give that to anyone else, but if it’s boots that allow you to walk many miles that you wouldn’t otherwise be able to walk or a purse that replenishes or a magic carpet that could transport anybody, those qualify because those are objects that can be used by many people. I have gone back, studied these crystal balls and other objects of enchantment and magic, and think about how those could be used as a way to inspire the inventors of The Internet of Things today.”
In this O'Reilly Radar Podcast: Dr. Gilad Rosner talks about data privacy, and Alasdair Allan chats about the broken IoT.
In this podcast episode, I catch up with Dr. Gilad Rosner, a visiting researcher at the Horizon Digital Economy Research Institute in England. Rosner focuses on privacy, digital identity, and public policy, and is launching an Internet of Things Privacy Forum. We talk about personal data privacy in the age of the Internet of Things (IoT), privacy as a social characteristic, an emerging design ethos for technologists, and whether or not we actually own our personal data. Rosner characterizes personal data privacy as a social construct and addresses the notion that privacy is dead:
“Firstly, it’s important to recognize the idea that privacy is not a regime to control information. Privacy is a much larger concept than that. Regimes to control information are ways that we as a society preserve privacy, but privacy itself emerges from social needs and from individual human needs. The idea that privacy is dead comes from the vulnerability that people are feeling because they can see that it’s very difficult to maintain walls between their informational spheres, but that doesn’t mean that there aren’t countercurrents to that, and it doesn’t mean that there aren’t ways, as we go forward, to improve privacy preservation in the electronic spaces that we continue to move into.”
As we move more and more into these electronic spaces and the Internet of Things becomes democratized, our notions of privacy are shifting on a cultural level beyond anything we’ve experienced as a society before. Read more…
Nate Oostendorp on manufacturing and the industrial Internet, and Tim O'Reilly and Rod Smith discuss emerging tech.
The Industrial Revolution had a profound effect on manufacturing — will the industrial Internet’s effect be as significant? In this podcast episode, Nate Oostendorp, co-founder and CTO of Sight Machine, says yes — where mechanization ruled the Industrial Revolution, data-driven automation will rule this next revolution:
“I think that when you think about manufacturing 20 years from now, the computer and the network is going to be much more fundamental. Your factories are going to look a lot more like data centers do, where there’s a much greater degree of automation that’s driven by the fact that you have good data feeds off of it. You have a lot of your administration of the factory that will be done remotely or in a back office. You don’t necessarily need to have engineers on a floor watching a machine in order to know what’s going on. I think fundamentally, the number of players in a factory will be much smaller. You’ll have much more technical expertise but a fewer number of people overall in a factory setting.”
According to Oostendorp, we’re already seeing the early effects today in an increased focus on quality and efficiency. Read more…
Liza Kindred on the evolving role of data in fashion and the growing relationship between tech and fashion companies.
In this podcast episode, I talk with Liza Kindred, founder of Third Wave Fashion and author of the new free report “Fashioning Data: How fashion industry leaders innovate with data and what you can learn from what they know.” Kindred addresses the evolving role data and analytics are playing in the fashion industry, and the emerging connections between technology and fashion companies. “One of the things that fashion is doing better than maybe any other industry,” Kindred says, “is facilitating conversations with users.”
Gathering and analyzing user data creates opportunities for the fashion and tech industries alike. One example of this is the trend toward customization. Read more…
Putting ourselves in the shoes of the user is key to building better systems and services.
In this podcast episode, Tim O’Reilly talks about building systems and services for people, keeping a close eye on the end user’s experience to build better, more efficient systems that actually work for the people using them. Highlighting a quote from Jeff Sussna, O’Reilly makes a deeper connection between development and the ultimate purpose for building systems and services — user experience:
“[Jeff Sussna says in his blog post Empathy: The Essence of DevOps]: ‘It’s not about making developers and sysadmins report to the same VP. It’s not about automating all your configuration procedures. It’s not about tipping up a Jenkins server, or running your applications in the cloud, or releasing your code on Github. It’s not even about letting your developers deploy their code to a PaaS. The true essence of DevOps is empathy.’
“Understanding the other people that you work with and how you’re going to work together more effectively. That word ‘empathy’ struck me and it made me connect the world of DevOps with the world of user experience design.”