ZURICH (Reuters) - When people take to Twitter to comment on the great evening they enjoyed with good food and wonderful friends, reducing their monthly insurance bill is probably the last thing on their mind. But such tweets could help insurers to price premiums for individuals, with research suggesting a direct link between positive posts and a reduced risk of heart disease. This could lead to future insurance cover based on "sentiment analysis", in which Big Data and artificial intelligence make predictive models ever more accurate. Swiss Re says technological advances will cut the price of insurance protection and help individuals and firms make better decisions through programs that offer advice and incentivise improvements in areas such as health and driving. However, detractors fret that such developments could erode customers' privacy or lead to increasingly personalized pricing, undermining the basic principle of insurance - sharing risk.
Big Data rollout from the White House - 0/4 thought leaders statisticians, 0/n participants statisticians. One example of this kind of thinking is this insane table from the alumni magazine of the University of California which I found from this [This year the idea that statistics is important for big data has exploded into the popular media. Here are a few examples, starting with the Lazer et.
Adopting a digital transformation strategy in the face of tight budgets and cuts could save the NHS from becoming increasingly burdened and possibly collapsing as the healthcare service we know. Health secretary Jeremy Hunt has committed 4bn to invest in technology for the NHS, but the level of digital transformation and its maturity across 239 trusts is mixed at best. Achieving a data-sharing, paper-free NHS appears a little way off. Solid projects have been undertaken recently to adopt more digital services over traditional on-premise IT systems in public healthcare. These projects are not as comprehensive as the IT overhaul undertaken by the Cambridge University NHS Hospitals Trust in partnership with HP, but they do show how the NHS is beginning to use more digital technology that yields results.
Once the three-billion-letter-long human genome was sequenced, we rushed into a new'omics' era of biological research. Scientists are now racing to sequence the genomes (all the genes) or proteomes (all the proteins) of various organisms – and in the process are compiling massive amounts of data. For instance, a scientist can use'omics' tools such as DNA sequencing to tease out which human genes are affected in a viral flu infection. But because the human genome has at least 25,000 genes in total, the number of genes altered even under such a simple scenario could potentially be in the thousands. Although sequencing and identifying genes and proteins gives them a name and a place, it doesn't tell us what they do.
If your current use of data and analytics is filling out dashboards and contemplating workflow changes you are missing a far more impactful opportunity. Enterprise analytics, business intelligence (BI) and application development are, at this very moment, combining and undergoing a major metamorphosis that you need to become a part of – now. We've all heard the numbers: Gartner estimates that by 2020, twenty-one billion "things" will in some way be connected to the internet, all sending data 24x7: sensors, refrigerators, televisions, cars, pipelines and phone-based ECG monitors ad infinitum. CSC estimates that by this same year we'll be producing forty-four times more data than in 2009. Business leaders are no longer satisfied with just reports and more importantly, your customers lack the patience to wait for you to adapt to their rapidly changing needs and ways of engaging with you.