- Game Programming Patterns — a book in progress.
- Search for the Next Platform (Fred Wilson) — Mobile is now the last thing. And all of these big tech companies are looking for the next thing to make sure they don’t miss it.. And they will pay real money (to you and me) for a call option on the next thing.
- Debunking the 100X GPU vs. CPU Myth — in Pete Warden’s words, “in a lot of real applications any speed gains on the computation side are swamped by the time it takes to transfer data to and from the graphics card.”
- Privacy in Sensor-Driven Human Data Collection (PDF) — see especially the section “Attacks Against Privacy”. More generally, it is often the case the data released by researches is not the source of privacy issues, but the unexpected inferences that can be drawn from it. (via Pete Warden)
ENTRIES TAGGED "Big Data"
Establishing protocols to socialize wearable devices.
The age of ubiquitous computing is accelerating, and it’s creating some interesting social turbulence, particularly where wearable hardware is concerned. Intelligent devices other than phones and screens — smart headsets, glasses, watches, bracelets — are insinuating themselves into our daily lives. The technology for even less intrusive mechanisms, such as jewelry, buttons, and implants, exists and will ultimately find commercial applications.
And as sensor-and-software-augmented devices and wireless connections proliferate through the environment, it will be increasingly difficult to determine who is connected — and how deeply — and how the data each of us generates is disseminated, captured and employed. We’re already seeing some early signs of wearable angst: recent confrontations in bars and restaurants between those wearing Google Glass and others worried they were being recorded.
This is nothing new, of course. Many major technological developments experienced their share of turbulent transitions. Ultimately, though, the benefits of wearable computers and a connected environment are likely to prove too seductive to resist. People will participate and tolerate because the upside outweighs the downside. Read more…
Data tools are less important than the way you frame your questions.
Max Shron and Jake Porway spoke with me at Strata a few weeks ago about frameworks for making reasoned arguments with data. Max’s recent O’Reilly book, Thinking with Data, outlines the crucial process of developing good questions and creating a plan to answer them. Jake’s nonprofit, DataKind, connects data scientists with worthy causes where they can apply their skills.
A few of the things we talked about:
- The importance of publishing negative scientific results
- Give Directly, an organization that facilitates donations directly to households in Kenya and Uganda. Give Directly was able to model income using satellite data to distinguish thatched roofs from metal roofs.
- Moritz Stefaner calling for a “macroscope”
- Project Cybersyn, Salvador Allende’s plan for encompassing the entire Chilean economy in a single real-time computer system
- Seeing Like a State: How Certain Schemes to Improve the Human Condition Have Failed by James C. Scott
After we recorded this podcast episode at Strata Santa Clara, Max presided over a webcast on his book that’s archived here.
Such lists might mean we miss the truly great breakthroughs, inspirations, and leaps of faith necessary to evolve.
Editor’s note: this post originally appeared on Tilt the Windmill; it is republished here with permission.
First: it’s an excellent post. You should read it. I’ll wait.
Every enterprise decision-maker will soon be running their business according to the lists Barry envisions, as the power of big data and analytics finds its way into every boardroom and dashboard. Society will soon demand them, too. But while such analysis is tremendously valuable, it carries two dangers: the politics of setting criteria, and the trap of relying on data for inspiration.
The harsh light of data
Barry is right: rather than using our precious time and resources to make yet another linkbait list of the 50 cutest kittens, or the seven people I’ll try to avoid at SXSW, we should use abundant data and a connected world to build lists that matter: lying politicians, bad cars, lousy doctors. Then we can use these lists to change policy and behaviour because we’ll make things transparent. Shining the harsh light of data on something can improve it.
MIT workshop kicks off Obama campaign on privacy
Thrust into controversy by Edward Snowden’s first revelations last year, President Obama belatedly welcomed a “conversation” about privacy. As cynical as you may feel about US spying, that conversation with the federal government has now begun. In particular, the first of three public workshops took place Monday at MIT.
Given the locale, a focus on the technical aspects of privacy was appropriate for this discussion. Speakers cheered about the value of data (invoking the “big data” buzzword often), delineated the trade-offs between accumulating useful data and preserving privacy, and introduced technologies that could analyze encrypted data without revealing facts about individuals. Two more workshops will be held in other cities, one focusing on ethics and the other on law.