Times are changing for the fast growing, well-educated, high-tech savvy global middle-class.
Information technology combined with new agreements between the individual and the organisation is creating a more flexible, more mobile, more productive work universe, free from time, space, people and tool constraints.
1. Assessment
Every tech-centered solution should start with an assessment of the technological and cultural maturity of the organisation. An inventory of existing Unified Communications systems, applications and needs is indispensable. More about maturity assessments.
1) Beware of unsubstantiated claims
‘Assessing the carbon footprint of a data centre is difficult. Making comparisons between data centres of different designs that rely on different energy and cooling sources is a massive challenge.’ says Mark Chapman, Managing Director of Carbon Statement, an innovative carbon management company.
Unfortunately there are few standard measurements yet and no standardised way of taking measurements.
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Computers are getting cleverer.
‘Computer are useless, they only give you answers.’ Pablo Picasso
IBM’s “neurosynaptic computing chips” now ‘recreate the phenomena between spiking neurons and synapses in biological systems through advanced algorithms and silicon circuitry’ (see also).
This brings us another step closer to being able to extract usable insights and intelligence out of the super-large batches of raw, unstructured data, commonly referred to as Big Data.
At present, the ability to collect, store and process Big Data is still a competitive advantage. Soon, such capabilities will be widely accessible and the sole ability to obtain better answers will be trumped by the ability to ask better questions.
‘Big Data is going to have a huge economic impact.’ declared Netezza CEO Jim Baum at the recent GigaOM Big Data event. Not an unbiased view, surely. Big Data needs to have a huge economic impact if it is to justify the investments of time and money made by governments and organisations.
There must be tangible answers to the ‘what’s in it for us?’ question. At this point, the relationship between the Big Data phenomenon and productivity gains is not always clear.
Will large-scale data and analysis really improve efficiencies and productivity and in what measure?
Can we expect an increase in output capacity of the same order of magnitude as seen during the industrial revolution?