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
1. Harish Kotadia, Infosys, @HKotadia
2. Gregory Piatetsky, KDnuggests, @kdnuggets
3. Avkash Chauhan, Microsoft, @avkashchauhan
4. Alex Popescu, MyNoSQL, @al3xandru
5. David Smith, Revolution Analytics, @revodavid
Source: Traackr
1. Harish Kotadia, Infosys, @HKotadia
2. Gregory Piatetsky, KDnuggests, @kdnuggets
3. Avkash Chauhan, Microsoft, @avkashchauhan
4. Alex Popescu, MyNoSQL, @al3xandru
5. David Smith, Revolution Analytics, @revodavid
Source: Traackr
An excerpt from Nassim Taleb’s forthcoming book, Antifragile, was posted yesterday on the Farnam Street blog. In “Noise and Signal,” Taleb says that “In business and economic decision-making, data causes severe side effects —data is now plentiful thanks to connectivity; and the share of spuriousness in the data increases as one gets more immersed into it. A not well discussed property of data: it is toxic in large quantities—even in moderate quantities…. the best way… to mitigate interventionism is to ration the supply of information, as naturalistically as possible. This is hard to accept in the age of the internet. It has been very hard for me to explain that the more data you get, the less you know what’s going on, and the more iatrogenics you will cause.” Continue reading
Big data tools and technologies emerged first from the companies the Web gave birth to–Google, Facebook, Yahoo, and Amazon. No wonder that the term has become associated primarily with the ability to process and analyze large sets of unstructured, web-generated data, for consumer- and market-related activities such as targeted advertising or improving customer loyalty. Continue reading
