1. Vincent Granville, AnalyticBridge,@analyticbridge
2. Alex Popescu, MyNoSQL, @al3xandru
3. Gregory Piatetsky, KDnuggests, @kdnuggets
4. Christopher Berry, The Analytics Revolution, @cjpberry
5. David Smith, Revolution Analytics, @revodavid
Source: Traackr
1. Vincent Granville, AnalyticBridge,@analyticbridge
2. Gregory Piatetsky, KDnuggests, @kdnuggets
3. Alex Popescu, MyNoSQL, @al3xandru
4. Harish Kotadia, Infosys, @HKotadia
5. David Smith, Revolution Analytics, @revodavid
Source: Traackr
A great program is in store for attendees of The Big Data Innovation Summit, September 13-14 in Boston, an event for which this blog is a media sponsor. The summit will bring together senior data scientists and business executives to discuss the latest Big Data developments, real-world successes, and best-in-class practices.
Confirmed speakers include data scientists and business executives from Walt Disney, Nokia, Groupon, American Express, TripAdvisor, Allstate, GE, Zynga, NASA and AddThis. Additional workshops and deep-dive discussions promise opportunities to improve business performance and hear new best-practices.
Click here to register http://analytics.theiegroup.com/bigdata-boston/registration
I don’t do pure research—my analysis enables real-world functionality
Currently mining terabytes of tweets as a data scientist with Twitter, Edwin Chen studied math and linguistics at MIT and then crunched numbers at Peter Thiel’s hedge fund, Clarium Capital Management. He blogs on topics of interest to data scientists such as crowdsourcing text analysis with Amazon’s Mechanical Turk or ggplot2, a data visualization tool. The following is an edited transcript of our recent phone conversation.
When you went to MIT, what were your future plans? Continue reading
1. Vincent Granville, AnalyticBridge,@analyticbridge
2. Gregory Piatetsky, KDnuggests, @kdnuggets
3. Christopher Berry, The Analytics Revolution, @cjpberry
4. Alex Popescu, MyNoSQL, @al3xandru
5. Harish Kotadia, Infosys, @HKotadia
Source: Traackr
“Data is the new science. Big Data holds the answers. Are you asking the right questions?”—Pat Gelsinger, EMC
“You have to realize something about the three of us–we’re all big gamers. And we’re analytical. And competitive. We play those really complicated strategy board games that are supposed to take an hour or two to finish. They take us four or five hours. We just can’t help thinking through every possible move, every possible outcome and side-effect of those moves, and how best to take advantage of a given situation”–Dan Kador, CTO, Keen (on raising venture capital with co-founders Kyle Wild and Ryan Spraetz)
Being a statistician means never having to say you’re sure–Mike Parker ?@Sysparatem Continue reading
1. Gregory Piatetsky, KDnuggests, @kdnuggets
2. Harish Kotadia, Infosys, @HKotadia
3. David Smith, Revolution Analytics, @revodavid
4. Gil Press, What’s the Big Data? @GilPress
5. Alex Popescu, MyNoSQL, @al3xandru
Source: Traackr
“The world is one big data problem. There’s a bit of arrogance in that, and a bit of truth as well.”–Andrew McAfee
“…one of the most exciting parts of the LinkedIn platform and the LinkedIn ecosystem is that the more members we attract, the more deeply they become engaged, the more data is being generated. And that data can be leveraged to create more relevant experiences for our members and better return on investment for our customers. Data really powers everything that we do.”—Jeff Weiner, LinekdIn Continue reading
1. Harish Kotadia, Infosys, @HKotadia
2. Gregory Piatetsky, KDnuggests, @kdnuggets
3. Avkash Chauhan, Microsoft, @avkashchauhan
4. Alex Popescu, MyNoSQL, @al3xandru
5. Gil Press, What’s the Big Data? @GilPress
Source: Traackr
Without using any predictive analytics tools, I confidently predict that Facebook’s IPO will give rise to more vocal demands for people to “get a cut” of its—and other social media companies’—profits. People deserve, so the argument goes, a share of any profits derived from mining the social data pool which they have so willingly helped create. Occupy Facebook, anyone?
But before you set up a tent in Menlo Park, consider this proposition: The value of personal data is zero. Personal data is not worth much if it’s kept personal and a sample of one is good for answering a very limited set of questions. Personal data gains value when it is shared, when it is combined with and compared to other data. Continue reading
