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Predictive analytics uses many techniques from data mining, statistics, machine learning and AI.

"Knowledge can only be volunteered it cannot be conscripted. You can't make someone share their knowledge, because you can never measure if they have. You can measure information transfer or process compliance, but you can't determine if a senior partner has truly passed on all their experience or knowledge of a case. We only know what we know when we need to know it. Human knowledge is deeply contextual and requires stimulus for recall. Unlike computers we do not have a list-all function. Small verbal or nonverbal clues can provide those ah-ha moments when a memory or series of memories are suddenly recalled, in context to enable us to act. When we sleep on things we are engaged in a complex organic form of knowledge recall and creation; in contrast a computer would need to be rebooted. In the context of real need few people will withhold their knowledge. A genuine request for help is not often refused unless there is literally no time or a previous history of distrust. On the other hand ask people to codify all that they know in advance of a contextual enquiry and it will be refused (in practice its impossible anyway). Linking and connecting people is more important than storing their artifacts. Everything is fragmented. We evolved to handle unstructured fragmented fine granularity information objects, not highly structured documents. People will spend hours on the internet, or in casual conversation without any incentive or pressure. However creating and using structured documents requires considerably more effort and time. Our brains evolved to handle fragmented patterns not information. Tolerated failure imprints learning better than success. When my young son burnt his finger on a match he learnt more about the dangers of fire than any amount of parental instruction cold provide. All human cultures have developed forms that allow stories of failure to spread without attribution of blame. Avoidance of failure has greater evolutionary advantage than imitatio

The Pew Research Center's Internet & American Life Project fielded a nationally representative phone survey about the social and civic lives of SNS users and reported the findings in June 2011 in a report entitled "Social networking sites and our lives."1 During the phone survey, 269 of 877 original respondents who were Facebook users gave us permission to access data on their use of Facebook so that it could be matched with their survey responses. We partnered with Facebook to match individual responses from the survey with profile information and computer logs of how those same people used Facebook services over a one-month period in November 2010 that overlapped when the survey was in the field.

A brief overview of social web trends that we can anticipate taking up increasing air-space over the next 12 months. Some trends (e.g. Big Data) have wider implications than 'social web' but are included for completeness.

"How easy is it to deceive people with visualization?"

When managers say they are data driven and ROI focused they are usually more intent on professing a belief than delivering results. They are, essentially, accidental theorists, putting their faith in an abstract idea rather than engaging in any true analysis of cause and effect. Despite what many will tell you, numbers can lie and only fools follow them blindly.

We keep our data updated with the latest available numbers, up to 2012! Updated indicators include GDP per capita, fertility rates, among others! Dig in and enjoy the Gapminder World!

BM's Watson Artificial Intelligence System is capable of searching across vast repositories of unstructured data and returning answers to natural language queries, but it won't replace humans. Instead, the system will augment humans and help us to make better decisions.

What if you could structure the content of a web page based on how humans actually read those pages, Tung asked back in 2008 when he founded Diffbot?

Many companies are seeing that the future of deep learning is here, and that it doesn't require a lot of money or resources to take advantage of this new industrial science. IBM's Watson Analytics offers a freemium service that allows you to upload up to 500MB, and enables you to explore your own real-life applications for deep learning. Inputting Google Adwords or other sales metrics into this tool can help even startup companies find relational and predictive information in their data.

You can start getting familiar with Watson Analytics by using the sample datasets provided in this community. These datasets have all been tested with Watson Analytics, and are the basis for many of the Watson Analytics demonstrations and videos. A description of each is below. To use the datasets, download them from the links below. Then, access Watson Analytics and from the Welcome Page, tap Add and add your data.

"Inxight is a product which can be used to trawl an organisations deepest data repositories to surface patterns and semantic clusters. ConocoPhillips will be investigating this tool over Summer 2007"

Mentioned by British Council ----- Whether you are upgrading from SharePoint 2003 or 2007 to SharePoint 2010, moving between SharePoint servers, or re-organizing your SharePoint content, Migration Manager for SharePoint, formerly SharePoint Site Migration Manager, is an easy-to-use and convenient way of moving your SharePoint data. With its familiar copy-and-paste-style user interface, you can quickly migrate all SharePoint sites, libraries, lists, web parts and permissions between servers.

Autonomy also produce some tools - see attached documents