In Honor of A. Turing's

hundredth birthday (he was born 23-Jun-1912) there were celebrations of different types with different motivations. Often, what does Turing's work meant to .

I resist to answer this question for us and instead link to a post in the Wired Enterprise Blog: How To Build Your Own LEGO Turing Machine. The work seems incomplete and give our brains a challenge.

For more in depth thinking, I let Stephen Wolfram speak: his Blogpost on Turing's Birthday - 23-Jun-10.

Hidden in Plain Sight II

Innovative business principles? I like the demand-first model described in Hidden in Plain Sight .

From the book's by-text: Every layer of creativity, every success can inch a company farther from its customers.

I really second. Think of the success of Mortage Backed Securities, Credit Derivatives, .. that led to uncontrolled entity leverages and finally the crises which has shifted markets to new regimes characterized by almost unimaginable anomalies.....

From the book and how I applied this to our machine learning framework for Mathematica (mlf) business:

Create a demand landscape through an enhanced understanding of how people behave, their needs, wants, passions and frustrations. Production engineers make products, thus margins. Quality people check products, just before they are rolling out. Consequently, they are seen as the last hurdle. Mlf supports quality people with inline-process quality assurance. They trigger important decisions in early stages.

Reframe the opportunity space by looking with the eye of the customer, the eye of the market and the eye of the industry. Process and quality people collaborate tightly and make better control decisions (eye of the mlf customer). The market recognizes that mlf users deliver uncompromising quality (eye of the customer’s customers). Competition recognizes that mlf customers' in-process quality assurance is a success factor (eye of the process industry).

Formulate a strategic blueprint, make new opportunities relevant in the socio-economic context. We develop on requirements of process sectors (like steel, pulp and paper, energy) and co-finance such individual projects (in the frame of a industrial-research center). The transformation of industry-level experiences keep mlf up-to-date.

Summarising, we do not sell a product, but the transformation of customer experiences, connections and know-how packages.

WWWW

Oh yes, "it" is on the web. And I can find it. And with Wolfram Alpha I can get deeper insight by computation.

But here are the pages, which I access frequently and where I have have subscribed the printed.

Wolfram for in depth understanding of Mathematica and Wolfram technologies

Wilmott to join the most advanced and diversified space for the quantitative finance community

WIRED for left-and-right-brain-half inspiration from "Technotopia", what is expired, tired, or wired

Wallpaper for right-brain-half inspiration in Design-Interior-Fashion-Art-Lifestyle rooms

Wolfram Alpha in Wired

Wired Magazine Jun-09. Steven Levy, "The Answer Engine". Wolfram Alpha creates awareness. Many commentaries have been written in the press. Many of them underestimate its real power, the paradigm shift, comparing to Google. Wiki, ..

IMO, very shortened Google is "know where ..?", Wiki is "know what ..?", Wolfram Alpha is "know how ..?".

I like Steven levy's commentary on Wolfram Alpha. And it reminds me that it was Steven Levy's book Artificial Life (early 90ies!) - A report from the frontier, where computers met biology that inflamed my interest in evolutionary programming and swarm intelligence (swarm approaches should have been adopted to financial risk management to expose not only credit, market. liquidity, ... risk, but also bubble-building by correlated high-volume-high-velocity deals and greed and fear should have been modeled as co-evolutionary system ?).

Not surprising that first AL implementations were in Prolog, LISP,.. but Steve Levy has at this time recognized the importance of Stephen Wolfram's ground-breaking work on Cellular Automata (leading to NKS ) AND the computational foundation for all type of more or less complex systems, Mathematica !