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New Scientist article on 'Knowledge Engines'. Provides further confusion between definitions of information and knowledge. Wolfram Alpha revealed as Apple's SIRI answer engine. 

Google answers these questions with the help from deep neural networks, a form of artificial intelligence rapidly remaking not just Google's search engine but the entire company and, well, the other giants of the internet, from Facebook to Microsoft.

Artificial intelligence that can understand and answer any work-related question it is asked has been made available in the UK for the first time.

Worth downloading and reading this paper. One abstract: "The ultimate goal is to enable data scientists,business analysts and other users "to extract the most information they can out of data as quickly as possible....For the business, we need answers now. The market is fixing the pace, so we have to give the best answer we can at the right time."

A fact-based worldview starts with getting the big picture right. Each of these videos answer a common fact-question about global proportions and macro trends, in less than 90 seconds.

How do we learn the meaning of text from data? In other words, how can a machine truly understand the phrases that human beings blab into its search fields and microphone? The researchers at Google and elsewhere have settled on an answer to that question: machine learning; specifically, a form of artificial intelligence called neural networks-self-organising systems modelled on the way the brain works.

On Tuesday, Google is expected to finally unveil its answer to the Echo, alongside new smartphones and tablets. The Google Home device, which looks a little like an air freshener, is expected to go on sale later this month.

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.

Nowadays organizations have realized the importance of knowledge and knowledge management.  The organizations know that machines, equipments, and building cannot count as the most important properties of the organization. It is clear that the most important property of every organization is organizational knowledge and correct management of it will cause core competencies for the organization and also victory against the competitors. Of course knowledge and knowledge management both are important for an organization, but are all knowledge management efforts in the organizations successful? If knowledge management efforts fail in an organization, what are the main failure factors of this phenomenon? This paper attempts to answer this question by analyzing a failed case study in implementing a knowledge management system .

Blogs are easy to create and update, and rich, useful, and original blog content will encourage readers to come back to your site. Here are some tips for making the most of your blog.

Katona's work in the 1970s on 'sentiment' was pivotal in understanding consumer behaviour. For example the US Federal Reserve was hugely resistant to the idea that feelings had a part to play in economic forecasting. Katona proved that answers to questions such as 'do you believe you will be better off next year than this?' were actually better forecasters of economic performance than traditional models. Many behavioural economists now use Katona's theories.

How has Mexico moved from 2 cartels in the 1970s to 9 cartels today? That is the question the Mexican website Animal Político wanted to answer when in January 2015 they started to work on NarcoData, a data journalism project that shows the evolution of 40 years of drug dealing in Mexico, home to the most violent cartels in the world.

This is a journey to explore the latest innovations in AI and, most importantly, its human element, to ultimately answer the controversial questions: What physical human characteristics and emotions must a robot have to make people react to it? And, obversely, Can AI recognize human emotions?

Google is implementing voice activated natural language processing technology - already available across Google products like Android and Search - to all Google Analytics users over the next few weeks.

"For problems that are original, whose answers are not already known, and that require intuition, judgment and ingenuity, you need people. Smart people who not only know how to search, but who have the expertise and judgment to know whether what they've found is most relevant to solving the problem at hand."