Unleashing Intelligence through natural language (Part 2 - Autonomously generated conclusions)
In this series I reveal rules of intelligence contained within grammar, and explain how they can be utilized to unleash intelligence in software. These rules are extremely simple, but still undiscovered by scientists.
Under certain conditions, three types of conclusions that can be generated autonomously:
1) Specification substitution conclusion:
• Given "John is a father" and "A father is a man";
• Because of the common word…
Added by Menno Mafait on April 14, 2013 at 11:48pm — No Comments
Weekly Digest - April 15
Featured on DSC, Big Data News and AnalyticBridge
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Statistical software for beginners (student, trial editions)
Added by Amy on April 14, 2013 at 2:19pm — No Comments
Big Data, Fast Data, Smart Data
Every minute, 48 hours of video are uploaded onto Youtube. 204 million e-mail messages are sent and 600 new websites generated. 600,000 pieces of content are shared on Facebook, and more than 100,000 tweets are sent. And that does not even begin to scratch the surface of data generation, which spans to sensors, medical records, corporate databases, and…
ContinueAdded by Alissa Lorentz on April 12, 2013 at 5:18am — No Comments
Small Data is Beautiful
Added by Michael Walker on April 10, 2013 at 8:03pm — 1 Comment
Spreadsheet is Still the King of all Business Intelligence Tools
"BI is not an upgrade to the spreadsheet", "Stop trying to use spreadsheet as the BI tool" - BI vendors are frequently heard to make such comments. People may thus assume that the spreadsheet is on the decline, and feel embarrassed by their Microsoft Excel, RaqSoft esCalc, LibreOffice Calc, and OpenOffice Calc tools…
ContinueAdded by Jim King on April 8, 2013 at 9:28pm — No Comments
Our company recently implemented a BI Reporting solution intended for a retail company with both, an offline retail chain and an online web-shop. This was a Demo project, so during the planning phase our team decided to use two different platforms, including different back-end and front-end software.
In general, we planned to compare the free and non-free software available for similar BI Reporting…
ContinueAdded by Alexey Golovashov on April 8, 2013 at 10:25pm — 1 Comment
The Face of the New University
Since we started developing our Data Science Apprenticeship, we've been thinking a bit about the future of higher education. Here is a summary of our thoughts:
The new degree…
ContinueAdded by Vincent Granville on April 7, 2013 at 1:00pm — 7 Comments
The Big Data wave makes us take a new step in the information age in which we live. Data & information have taken a central place in all our activities; even war is concerned (information warfare, electronic warfare, for example). In the information age, the power of ideas plays a more and more prominent role, but as the principle of skepticism is largely widespread, our era is also the era of suspicion and mistrust. Normally there are always data that are transformed into…
Added by Michel Bruley on April 4, 2013 at 11:36pm — No Comments
Data Scientists Draw Pictures and Tell Short Stories
Added by Michael Walker on April 3, 2013 at 5:43pm — No Comments
10 Forbes articles on visualization, by Naomi Robbins
She's an expert in visualization, and you can check her website at www.nbr-graphs.com.

Here are some of her recent articles:…
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Weekly Digest - April 1
Added by Vincent Granville on March 31, 2013 at 7:00am — No Comments
31 selected articles from top news outlets - last 30 days
Enjoy the reading! Articles from WSJ, Forbes, HBR, The Economist, NYT, MIT and many smaller, relevant media. In random order, though more recent ones are usually higher in the list.…
ContinueAdded by Vincent Granville on March 30, 2013 at 1:30pm — 1 Comment
Business Intelligence ROI Remains Elusive; A next-generation approach to “ease of use” may hold the answer
Added by Jaime Fitzgerald on March 29, 2013 at 3:56am — 1 Comment
What does a data scientist do?
Interesting PowerPoint presentation by Carlos Somohano. Here's my favorite slide (a slightly modified version):
Brief History of Data Science
Added by Vincent Granville on March 28, 2013 at 8:00am — No Comments
Predictive Analytics Strategy
Predictive analytics is now sexy in the business world. While predictive analytics has many benefits and can help organizations gain…
ContinueAdded by Michael Walker on March 27, 2013 at 3:30pm — No Comments
Top LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science
All the stats are as of Mar 20, 2013, published by…
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Vibrant, Growing, and Changing - That’s Analytics in 2013
Today Lavastorm Analytics published “Analytics 2013 – A Survey on Analytic Usage, Trends, and Future Initiatives”. This is a very interesting research project because it includes opinions from such a wide audience from the analytics community – 600…
ContinueAdded by Vincent Granville on March 23, 2013 at 10:30am — No Comments
Python Data Tools
Python is an increasingly popular object-oriented, interpreted and interactive programming language used for heavy-duty data analysis. Python is designed for…
ContinueAdded by Michael Walker on March 21, 2013 at 11:54am — No Comments
Data: It’s not the length; it’s the width that matters!
It’s time to forget the ‘vertical’ perception of Big Data, i.e. vast volumes and ROWSof data, and start to think about the ‘horizontal’ reality and true power of data. TheCOLUMNS of rich, informative data is where your real value lies and where truly smart decisions will be made.
Granted, extensive columns of data will get unmanageable to work with. But this is where data analytics can help…
Added by Graham Forsyth on March 21, 2013 at 4:42am — No Comments
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