Big Data - How to optimize information for consumers?
With the uptake of cloud computing and web3.0 (web2.0 + mobility), consumers will have more access to information than ever before. But what are effective ways to optimize the information they get – and distill the information they need? How to process data meritoriously?
Consumers will increasingly face this dilemma, be it in the context of information they search online or information they receive through multidimensional funnels, with connected objects and mobile connectivity. How do these new facets of consumerization impact the way consumers make informed choices (a topic that has been discussed at a workshop on digital content services which I chaired during a consumer law conference at the Leuven university– in a relaxed setting around a sofa).
While the workshop focused on regulatory solutions, I am convinced that intuitive sorting of information – potentially based on mass analysis of data - will become indispensable in making sense of the data that is processed in quantities of gigabytes, petabytes or yottabytes. For that to happen, mathematics and algorithms will play the biggest role; and it will also require us to re-think policy-making fundamentals, i.e. re-thinking the way transparency can be achieved. A discussion that still needs to start. A first occasion may be at the Consumer Summit on 18th March in Brussels, where Paul Mitchell (General Manager of Policy and Standards for the Entertainment and Devices Division at Microsoft Corporation) will participate.
or Microsoft examples of cloud-related information optimization technologies, look at WE ARE ALL IN.