Data science makes an impact on Wall Street

The O'Reilly Data Show Podcast: Gary Kazantsev on how big data and data science are making a difference in finance.

Charging_Bull_Sam_valadi_FlickrHaving started my career in industry, working on problems in finance, I’ve always appreciated how challenging it is to build consistently profitable systems in this extremely competitive domain. When I served as quant at a hedge fund in the late 1990s and early 2000s, I worked primarily with price data (time-series). I quickly found that it was difficult to find and sustain profitable trading strategies that leveraged data sources that everyone else in the industry examined exhaustively. In the early-to-mid 2000s the hedge fund industry began incorporating many more data sources, and today you’re likely to find many finance industry professionals at big data and data science events like Strata + Hadoop World.

During the latest episode of the O’Reilly Data Show Podcast, I had a great conversation with one of the leading data scientists in finance: Gary Kazantsev runs the R&D Machine Learning group at Bloomberg LP. As a former quant, I wanted to know the types of problems Kazantsev and his group work on, and the tools and techniques they’ve found useful. We also talked about data science, data engineering, and recruiting data professionals for Wall Street. Read more…

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Tying software and hardware together through art

The O'Reilly Solid Podcast: Andy Cavatorta and Jamie Zigelbaum on art that combines physical and digital.

One of the theses behind our Solid Conference is that the stacks — the ranges of knowledge that technologists need to understand — are expanding so that the formerly separate disciplines of hardware and software are merging. Specific expertise is still critical, but the future lies in systems that integrate physical and virtual, and developing those effectively requires the ability to understand both sides at some basic level.

Installation art is a great place to look for those seamless integrations, and we’re excited to feature a couple of interesting installations at Solid. Our latest episode of the Solid Podcast takes us to Flatbush Avenue in Brooklyn, home to a collective of designers and engineers called Dark Matter Manufacturing, where David Cranor and I spoke with Andy Cavatorta and Jamie Zigelbaum. Cavatorta and Zigelbaum both create installations; Cavatorta works with sound and robotics, and Zigelbaum’s projects explore communication and interaction.

Cavatorta’s Dervishes installation will appear at O’Reilly Solid, June 23-25. He will also speak on “Music, machines, and meaning: What art teaches us about robotics and networks.” Read more…

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Mind if I interrupt you?

Notification centers and Apple Watches beg the question: what’s the best way to interrupt us properly?

We’ve been claiming information overload for decades, if not centuries. As a species, we’re pretty good at inventing new tools to deal with the problems of increasing information: language, libraries, broadcast, search, news feeds. A digital, always-on lifestyle certainly presents new challenges, but we’re quickly creating prosthetic filters to help us cope.

Now there’s a new generation of information management tools, in the form of wearables and watches. But notification centers and Apple Watches beg the question: what’s the best way to interrupt us properly? Already, tables of friends take periodic “phone breaks” to check in on their virtual worlds, something that might have been considered unthinkably gauche a few years ago.

Alistair_Croll_post_interruptionsSince the first phone let us ring a bell, uninvited, in a far-off house, we’ve been dealing with interruption. Smart interruption is useful: Stewart Brand said that the right information at the right time just changes your life; it follows, then, that the perfect interface is one that’s invisible until it’s needed, the way Google inserts hotel dates on a map, or flight times in your calendar, or reminders when you have to leave for your next meeting.

But all of this technology is interfering with reflection, introspection, and contemplation. In Alone Together, Sheri Turkle observes that it’s far easier to engage with tools like Facebook than it is to connect with actual humans because interactive technology’s availability makes it a junk-food substitute for actual interaction. My friend Hugh McGuire recently waxed rather poetically on the risks of constant interruption, and how he’d forgotten how to read because of it.

At work, modern productivity tools like Slack might do away with email conventions, encouraging better collaboration, but they do so at a cost because they work in a way that demands immediate attention, and that interrupts the natural rhythm we all need to write, to read, and to immerse ourselves in our surroundings. It’s hard to marinate when you’re being interrupted. Read more…

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Designing for ecosystems: Making meaningful IoT products and services

Mike Kuniavsky on PARC’s work on IoT and the mindset shift the IoT will require.

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Attend Experience Design for the Internet of Things, our online conference where six of the smartest people working in design and the Internet of Things will share actionable advice and the essential knowledge you need to create extraordinary IoT experiences and advance your craft. Mike Kuniavsky will present “User experience and predictive device behavior in the internet of things.”

The emergence of the Internet of Things has prompted the production of thousands of new connected devices. More challenging and interesting in many ways, though, is how to embed intelligence into existing products and services. Corporations are trying to wrap their collective minds around the possibilities the IoT presents, but many don’t have the internal expertise to make sense of the space. Companies like Palo Alto Research Center Incorporated (PARC) are helping these organizations with the transition to the IoT. I recently chatted with Mike Kuniavsky of PARC. Kuniavsky is a user experience designer, researcher, and author. He is a member of the Innovation Services Group at PARC, a strategy consulting team within the research organization, formerly known as Xerox PARC.

Bringing the IoT to Fortune 50 companies

PARC has been around since 1970 and has contributed to the evolution of computing, including laser printing, graphic user interface, and the Ethernet. It should be no surprise that they are working on the next generation of computing with the IoT. Kuniavsky explains a bit more about what he and the team are working on:

The Innovation Services Group is essentially PARC’s consulting arm. Of course Xerox is still PARC’s biggest client because it’s our parent company, but it is no longer our group’s biggest client, for sure. We mostly work with Fortune 50 companies. A lot of what we do is essentially reduce the risk of adopting novel technologies through the use of user experience design and ethnography, and an innovation strategy. These days, a lot of that is in the form of looking at things that are broadly in the Internet of Things. Part of that is because that’s where my expertise is; I’ve been playing with connected hardware for 25 years. Part of it is because that’s where there’s a lot of interest. It’s gotten me to really think about the entire ecosystem that the Internet of Things is. It’s not just hooking up a sensor to the Internet and sticking it somewhere in your house. It’s a much larger ecosystem, from my perspective. That’s what we’ve been exploring a lot because that’s what’s interesting to our customers, is understanding not just how this piece of cheap commodity hardware, which can be replicated very easily by any one of their competitors, is going to create an advantage for them, but how this one specific piece of hardware is going to create an ecosystem that is going to be very competitive and is going to create significant value. Read more…

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Navigating the health data ecosystem

The "six C's": understanding the health data terrain in the era of precision medicine.

Ian Eslick, Tuhin Sinha, and Rob Rustad contributed to this post.

Download a free copy of “Navigating the Health Data Ecosystem,” the first in a series of reports covering our recent investigation into the health data ecosystem, funded by the Robert Wood Johnson Foundation.

A few years ago, O’Reilly became interested in health topics, running the Strata RX conference, writing a report on How Data Science is Transforming Health Care: Solving the Wanamaker Dilemma, and publishing Hacking Healthcare. Our social network grew to include people in the health care space, informing our nascent thoughts about data in the age of the Affordable Care Act and the problems and opportunities facing the health care industry. We had the notion that aggregating data from traditional and new device-based sources could change much of what we understand about medicine — thoughts now captured by the concept of “precision medicine.”

From that early thinking, we developed the framework for a grant with the Robert Wood Johnson Foundation (RWJF) to explore the technical, organizational, legal, privacy, and other issues around aggregating health-related data for research — to provide empirical lessons for organizations also interested in pushing for data in health care initiatives. Our new free report, Navigating the Health Data Ecosystem, begins the process of sharing what we’ve learned.

After decades of maturing in more aggressive industries, data-driven technologies are being adopted, developed, funded, and deployed throughout the health care market at an unprecedented scale. February 2015 marked the inaugural working group meeting of the newly announced NIH Precision Medicine Initiative designed to aggregate a million-person cohort of genotype/phenotype dense longitudinal health data, where donors provide researchers with the raw epidemiological evidence to develop better decision-making, treatment, and potential cures for diseases like cancer. In the past several years, many established companies and new startups have also started to apply collective intelligence and “big data” platforms to health and health care problems. All these efforts encounter a set of unique challenges that experts coming from other disciplines do not always fully appreciate. Read more…

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CSS Grid Layout: The modern way of doing layout on the Web

The O'Reilly Radar Podcast: Rachel Andrew on modern Web layout, and Kyle Simpson defends JavaScript Coercion.

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Subscribe to the O’Reilly Radar Podcast to track the technologies and people that will shape our world in the years to come.

In this week’s episode of the Radar Podcast, O’Reilly’s Mac Slocum chats with Rachel Andrew, founder of edgeofmyseat.com, about CSS Grid Layout and the role responsive design is playing in emerging Web technologies.

In 2004, Andrew published The CSS Anthology: 101 Essential Tips, Tricks & Hacks. Through the years of revisions, she noted in the interview, not that much has changed; sure, we’ve moved on from Netscape 4, she said, but “the [layout] methods we’re using haven’t moved on much since I wrote that book, which is kind of terrifying.” This is why Andrew is so excited about CSS Grid Layout, which she sees as bringing Web layout into the modern day:

CSS Grid Layout is a new spec, an emerging spec. It originally came from Microsoft. In fact, there’s an early implementation of it in IE 10 and 11. It’s kind of moved on now. It’s really a specification for laying out Web pages and/or applications. It’s something that we haven’t really had up to now. The specs and the sort of things that we’re using for layout, things like float and so on, really are quite like hacks to get them to work. Developers have been working around this stuff for years. Grid, I’m quite excited about because it’s sort of the first time it feels like a really modern way of doing layout on the Web.

Read more…

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