With its shares trading at three-year-lows since it abandoned a $46 billion bid to buy Syngenta AG (SYNN.VX) last month, Monsanto Co plans to offer its shareholders a new corporate vision: a future in big data.
STOCKHOLM commuter rail operator Stockholmståg says it has developed a mathematical algorithm based on big data which enables it to predict delays anywhere on the network up to two hours before they occur. Dubbed "the commuter prognosis", the algorit...
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This is the elephant in the Big Data room….How much “Bad Data” is out there?Wait a minute, I hear you say, do you mean to say that not all of this data is accurate? What is the point of salivating over terabytes of Big Data if we don’t understand which bits are inaccurate, duplicated, incorrect or incomplete?That is the right question to be asking.The consequences of cyber attacks are well documented, but actually, in a world that is increasingly reliant on our data, the costs of Bad Data could be even higher. The U.S. economy is estimated to lose $3 trillion pe
Recent rail accidents in Philadelphia and all over the world lead many a commenter to wonder why there wasn't a more sophisticated monitoring system aboard these trains. Well, the industry saw that problem and is beginning to release some solutions.
In the last six months of so there has been much commentary about Tesco’s difficulties, including a number of posts by me. One of the questions I have been asked many times since is “Why didn’t ClubCard (Tesco’s loyalty card scheme) data warn them? Why didn’t big data help? Surely a retailer as sophisticated as Tesco would be able to read its big data to notice that there are some worrying trends that need addressing? The fact that apparently vast quantities of big data were not able to keep Tesco from a truly alarming fall from grace, contains lessons for us all
We all have watched movies such as Terminator, Minority report, iRobot.., at some point in time and wondered if life would get that futuristic. Living alongside robots to do our choirs or sensing a fluctuation in your heartbeat to send out a signal for an ambulance? Can the right hardware and software work together to save a dying person? Deep inside, all of us imagine a life with sophistication, comforts and luxury at all stages of life. In this era of continuous technological evolution and advancements, we see a total restructuring of how we live our daily lives.A decade back we would have
How can technology that we are able to build with today’s tools help us to solve the big problems of individuals, organizations, and the world at large? More specifically: How can we use the internet in the best way to improve our collective problem-solving capabilities? Questions like these don’t seem to be asked very often, perhaps because people usually focus on specific problems, rather than general problem-solving in its own right.
Rail Engineers understand that, to manage, maintain and renew a cost-effective, efficient and modern railway system, it is imperative to identify all infrastructure assets, where they are located and most importantly, what condition they are in.
Google has added another set of nuts and bolts to the mechanics of the Internet of Things (IoT) with the launch of its Eddystone technology. Named after the Eddystone Lighthouse off of the English coast in the county of Cornwall, Google’s Eddystone is an open source cross-platform Bluetooth LE (BLE) [...]
On a hot sweltering day in Lincoln, Nebraska in July of 1990 I delivered my first predictive model.Working on a contract basis for Metromail (acquired by Experian), I analyzed the performance of about half dozen recent mailings for a non-profit to predict the characteristics of best donors.I used demographics like age, income, home value, history of donations and created a linear regression model. The top decile (we group data into equal ten percent, each is called a decile) was yielding a theoretical 7% response rate, and the bottom about 0.5%. Everything looked good, and I presented the res
Gary Bamford's insight:
Ah the good old days - tapes - yes I remember them along with the JCL to load them!
IntroIn order to bring some semblance of simplicity, coherence and integrity to the Big Data debate I am sharing an evolving model for pervasive information architecture and management.This is an overview of the realignment and placement of Big Data into a more generalized architectural framework, an architecture that integrates data warehousing (DW 2.0), business intelligence and statistical analysis.The model is currently referred to as the DW 3.0 Information Supply Framework, or DW 3.0 for short.A recapIn a previous piece with the name of Data Made Simple - Even 'Big Data'(available here o
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