"IN-SPIRE™ -- an information visualization software application -- provides a wealth of tools for exploring textual information, including query, subset, and trend analysis tools. Through visual representations of information, users can rapidly discover hidden information relationships from a variety of data sources such as technical and patent literature, marketing and business documents, web data, accident and safety reports, newswire feeds and e-mail message traffic."
NetMiner is an innovative software tool for Exploratory Analysis and Visualization of Network Data. NetMiner allows you to explore your network data visually and interactively, and helps you to detect underlying patterns and structures of the network
BusinessWeek's 2006 Cover Story, "Math Will Rock Your World," announced a new age of numbers. With the rise of new networks, the story argued, all of us were channeling the details of our lives into vast databases. Every credit-card purchase, every cell-phone call, every click on the computer mouse fed these digital troves. Those with the tools and skills to make sense of them could begin to decipher our movements, desires, diseases, and shopping habits-and predict our behavior. This promised to transform business and society. In a book expanding upon this Cover Story, The Numerati, Senior Writer Stephen Baker introduces us to the mathematical wizards who are digging through our data to decode us as patients, shoppers, voters, potential terrorists-even lovers.
Kynetx, Inc. is a privately-held Platform as a Service (PaaS) company based in Lehi, Utah. It provides a development platform for context automation that is the first of its kind. The platform uses Kynetx Network Services to supply tools to developers to create context-aware applications that can run on a multitude of devices, including browsers, mobile phones, and desktops.
Today, we measure the size of the Web in exabytes and are uploading to it 15 times more data than we were 3 years ago.
Technologies for sensing, storing, and sharing information are driving innovation in the tools available to help us understand our world in greater detail and accuracy than ever before. The implications of analyzing data on a massive scale transcend the tech industry, impacting the environmental sector, social justice issues, health and science research, and more. When coupled with astute technical insight, data is dynamic, accessible, and ultimately, creative.
Marissa Mayer will speak to the power of data and the role it plays in Google's innovation. She will present on the technology trends that are changing our relationship with data, discuss fresh Google products that creatively put data to work, and offer her vision for the future of data in driving the Web forward.
Hilary Mason presents the history of machine learning covering some of the most significant developments taking place over the last two decades, especially the fundamental math and algorithmic tools employed. She also exemplifies how machine learning is used by bit.ly to discover various statistical information about users.
Is small beautiful? Look at the following links.
Big Data, Small Data
New Age of Innovation (Prahalad)
So you like Big Data
reading on Insurers and the work done by Levitt and Dubner on Freakonomics tells us clearly that data not earlier thought relevant or causal can be an efficient predictor.
Secondly, strategies designed on BIG data
may overpower small data strategies
Thirdly, BIG data also has BIG impacting factors.
Fourthly, actions taken on BIG data will have big consequences,
Lastly, if everybody, big or small, started using BIG analytics, to make decisions
companies would anyway lose the competitive differentiator that analytics brings to them.
Corresponding to the question, how big does BIG need to be, the question I have is - how small really is small.
defining patterns that emerge from very small pieces of data (e.g. synchronicity)
how tools for SNA and analysis of BIG data can apply to Learning and Knowledge Analytics
at the other end it embraces how small changes can cause long term variations
"VizThink is a global community for visual thinkers and communicators who like to get beyond words and believe that visuals can be an effective tool whether you're just trying to work through your ideas or working to get your message across as simply as possible."
Shared by Adam Weisblatt during Feb 18, 2011 web conference with Simon Buckingham Shum
"Cohere is a visual tool to create, connect and share Ideas.
Back them up with websites. Support or challenge them. Embed them to spread virally. Discover who - literally - connects with your thinking."
From Feb 18, 2011 web conference with Simon Buckingham Shum
Knowledge Cartography: Software Tools and Mapping Techniques. (Eds.) Okada, A., Buckingham Shum, S. and Sherborne, T. Springer: Advanced Information and Knowledge Processing Series. ISBN: 978-1-84800-148-0"
With regard to the challenges, enterprise data is very messy, inconsistent, and spread out across multiple internal systems and applications. APIs like the ones we're working on can bring consistency and structure to a company's legacy data.
entity relation extraction is an important trend.
Entity relation extraction helps detect new knowledge in big data.
There are plenty of reasons to be skeptical about the BD market. But big
data probably deserves a place in overall enterprise IT strategy for generating
business insight. Best practices include generating a list of important challenges
or questions that the current approach to data does not address. Could big
data deliver the answers enterprises are looking for? If so, then it's all about
discipline. A disciplined, targeted approach to big data - one focused on
answering very specific questions. (my emphasis - I'll get to those later)
Analysis of 1,461 courses using Blackboard in spring 2010 showed that D and F
students used the course management system 47 percent less than students earning
a C or higher.