Bertrand Duperrin's Library tagged discovery → View Popular, Search in Google

Mar

2012

Big Data: The New Natural Resource

"What exactly is Big Data? It’s a product of the Internet combined with all the new ways that are emerging to gather, discover and make sense of data. "

asmarterplanet.com/...-the-new-natural-resource.html

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bigdata data discovery internetofthings decisionmaking analytics

The promise of Big Data is truly mind-boggling. If we can harvest insights from all of those sources of information, rather than being overwhelmed by data, we have the capacity to understand with greater precision than ever before how our world actually works. By applying analysis to data, we can see once-hidden patterns unfolding before our eyes so we can make better decisions about everything from personal financial planning to a company’s strategic direction.

Nov

2011

Armies of Expensive Lawyers, Replaced by Cheaper Software

Some programs go beyond just finding documents with relevant terms at computer speeds. They can extract relevant concepts — like documents relevant to social protest in the Middle East — even in the absence of specific terms, and deduce patterns of behavior that would have eluded lawyers examining millions of documents.

www.nytimes.com/...05legal.html

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law artificialintelligence discovery documents Technology automation job reasonning e-discovery

the studios examined six million documents at a cost of more than $2.2 million, much of it to pay for a platoon of lawyers and paralegals who worked for months at high hourly rates.
Now, thanks to advances in artificial intelligence, “e-discovery” software can analyze documents in a fraction of the time for a fraction of the cost. In January, for example, Blackstone Discovery of Palo Alto, Calif., helped analyze 1.5 million documents for less than $100,000.
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- “From a legal staffing viewpoint, it means that a lot of people who used to be allocated to conduct document review are no longer able to be billed out,”
- Computers are getting better at mimicking human reasoning — as viewers of “Jeopardy!” found out when they saw Watson beat its human opponents — and they are claiming work once done by people in high-paying professions.
- New jobs, he says, are coming at the bottom of the economic pyramid, jobs in the middle are being lost to automation and outsourcing, and now job growth at the top is slowing because of automation.
- “There is no reason to think that technology creates unemployment,” Professor Autor said. “Over the long run we find things for people to do. The harder question is, does changing technology always lead to better jobs? The answer is no.”
- We’re at the beginning of a 10-year period where we’re going to transition from computers that can’t understand language to a point where computers can understand quite a bit about language.
- The most basic linguistic approach uses specific search words to find and sort relevant documents
- The sociological approach adds an inferential layer of analysis, mimicking the deductive powers of a human Sherlock Holme

Aug

2011

Conversation Agent: Become a Relevant Filter

"The tech world is just getting started with its own full launch - a love affair complete with predictions, trends, and already a roster of tools and services."

www.conversationagent.com/...become-a-relevant-filter.html

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search discovery filters filtering conversations socialnetwork content ethic opencommunication communication

People are spending more time in social networks - and getting stuff done there, too. Which means that many of the activities that used to happen in mall stores, while on the phone with friends possibly, or through just solitary search, are now happening as a social experience.
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- There's a crop of other, some quite specialized, sites that plan to capitalize on the strong signals and filters currently offered in social networks to help people talk about the items they find, either ask their friends or even perfect strangers how they look with a new outfit, what they should buy, even create public visual displays or carts to share.
- This is where you come in to work on how information is displayed, aggregated, filtered, and then analyzed so that it's more digestible -- and helps people share it with their friends.
- For relevance to be part of the conversation, both are predicted upon three considerations:
  
  (1.) Ethics in data collection -- full disclosure is the new transparency
  
  (2.) Open communication -- as business is a process, so two-way communication or conversation is the lubricant that fosters ownership, and commerce
  
  (3.) Clear language -- say what you mean, illustrate with stories, eliminate jargon, adopt the words of your community