I sincerely hope this is not a sign of the future. Specifically for @MrStevePayne
There is a lot of work to be done before the robot starts putting a break together and stops fouling (check out 2.14) but given that this robot can pot balls at a success rate of 80% its not too long before we will all have to graduate to darts
In today's semantic web enabled world, there is an imbalance in the information available and the money made from it. The Analytics Arbitrageurs are constantly looking for ways to recognize value in this overlooked 'stock' then swoop in to buy it before everyone else gets the same idea and drives up the price. Welcome to our world
Tuesday, 21 June 2011
Thursday, 9 June 2011
Angry Birds Live
The people in this are too attractive and having too much fun for this to be the real deal - but then again, it's an ad and i love it!
Friday, 3 June 2011
Move over Big Data
Yeah I have got to say it, I am over 'Big Data' - Over. It.
I've heard the stories of 1 zetabyte of data being created every nanosecond at the intersection of business, social and location-based services. Still, aren't we missing the point?
'Big Data' and the second and third comings of IBM hadooping everything (yes it is now officially a verb) is being hailed as the next opportunity for business advantage but we still need to redux that data to identify the critical insight that will generate business value from it. Most analytic players today are living in a world of Analytics 1.0, its now remiss of us if we don't invent Analytics 2.0
Analytics 2.0 is the ability to spot patterns or outliers in transactional, behavioural and contextual data at lightning speed with high agility to make a change in your business and out-smart the competition.
The critical thing about this, in my mind, is that the window of opportunity to act on this information is short and decreases in value the longer it takes to capitalize on it. If you go to St Louis or Boston you can find High Frequency Trading companies that buy and sell large quantities of stock on the NYSE. The average time they hold that stock is seven seconds! At that frequency it's not about predicting outcomes its about jumping on outliers and gaining advantage from them
The way we are looking at this today is by capturing and analyzing data from potentially an unlimited number of sources. Some of that is highly structured from old-school databases like sales and customer profiles but augmented with live click-streams from websites and also Facebook feeds which are completely unstructured.
The trick and the opportunity is to conduct the analysis iteratively and act on it immediately rather than at predefined points in time. That phenomenon will kill the traditional ways of working and the legions of smart people who work in boutique agency shops unless they get with the 2.0 program
I've heard the stories of 1 zetabyte of data being created every nanosecond at the intersection of business, social and location-based services. Still, aren't we missing the point?
'Big Data' and the second and third comings of IBM hadooping everything (yes it is now officially a verb) is being hailed as the next opportunity for business advantage but we still need to redux that data to identify the critical insight that will generate business value from it. Most analytic players today are living in a world of Analytics 1.0, its now remiss of us if we don't invent Analytics 2.0
Analytics 2.0 is the ability to spot patterns or outliers in transactional, behavioural and contextual data at lightning speed with high agility to make a change in your business and out-smart the competition.
The critical thing about this, in my mind, is that the window of opportunity to act on this information is short and decreases in value the longer it takes to capitalize on it. If you go to St Louis or Boston you can find High Frequency Trading companies that buy and sell large quantities of stock on the NYSE. The average time they hold that stock is seven seconds! At that frequency it's not about predicting outcomes its about jumping on outliers and gaining advantage from them
The way we are looking at this today is by capturing and analyzing data from potentially an unlimited number of sources. Some of that is highly structured from old-school databases like sales and customer profiles but augmented with live click-streams from websites and also Facebook feeds which are completely unstructured.
The trick and the opportunity is to conduct the analysis iteratively and act on it immediately rather than at predefined points in time. That phenomenon will kill the traditional ways of working and the legions of smart people who work in boutique agency shops unless they get with the 2.0 program
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