Posted Jun 14, 2017 Visiting g with our Fy.Worth office to discuss innovation and how to win a hackathon. Great event. One thought: thank goodness for air conditioning which was originally an innovation to treat Malaria. Turns out it has far broader utility.
Posted Mar 7, 2017 I ho early cannot recall creating this page or why I would do it. Interesting.
Posted May 26, 2016 A science article not at all related to analytics or risk management or my name isn't Beaumont Vance
Posted May 18, 2016 Data are now woven into every sector and function in the global economy, and, like other essential factors of production such as hard assets and human capital, much of modern economic activity simply could not take place without them. The use of Big Data — large pools of data that can be brought together and analyzed to discern patterns and make better decisions — will become the basis of competition and growth for individual firms, enhancing productivity and creating significant value for the world economy by reducing waste and increasing the quality of products and services. Until now, the torrent of data flooding our world has been a phenomenon that probably only excited a few data geeks. But we are now at an inflection point. According to research from the McKinsey Global Institute (MGI) and McKinsey & Company's Business Technology Office, the sheer volume of data generated, stored, and mined for insights has become economically relevant to businesses, government, and consumers. The history of previous trends in IT investment and innovation and its impact on competitiveness and productivity strongly suggest that Big Data can have a similar power, namely the ability to transform our lives. The same preconditions that allowed previous waves of IT-enabled innovation to power productivity, i.e., technology innovations followed by the adoption of complementary management innovations, are in place for Big Data, and we expect suppliers of Big Data technology and advanced analytic capabilities to have at least as much ongoing impact on productivity as suppliers of other kinds of technology. All companies need to take Big Data and its potential to create value seriously if they want to compete. For example, some retailers embracing big data see the potential to increase their operating margins by 60 per cent. Big Data: A new competitive advantage The use of Big Data is becoming a crucial way for leading companies to outperform their peers. In most industries, established competitors and new entrants alike will leverage data-driven strategies to innovate, compete, and capture value. Indeed, we found early examples of such use of data in every sector we examined. In healthcare, data pioneers are analyzing the health outcomes of pharmaceuticals when they were widely prescribed, and discovering benefits and risks that were not evident during necessarily more limited clinical trials. Other early adopters of Big Data are using data from sensors embedded in products from children's toys to industrial goods to determine how these products are actually used in the real world. Such knoiwledge then informs the creation of new service offerings and the design of future products Big Data will help to create new growth opportunities and entirely new categories of companies, such as those that aggregate and analyse industry data. Many of these will be companies that sit in the middle of large information flows where data about products and services, buyers and suppliers, consumer preferences and intent can be captured and analysed. Forward-thinking leaders across sectors should begin aggressively to build their organisations' Big Data capabilities. In addition to the sheer scale of Big Data, the real-time and high-frequency nature of the data are also important. For example, 'nowcasting,' the ability to estimate metrics such as consumer confidence, immediately, something which previously could only be done retrospectively, is becoming more extensively used, adding considerable power to prediction. Similarly, the high frequency of data allows users to test theories in near real-time and to a level never before possible.
Posted May 18, 2016 interesting breakdown of energy sources for US
Posted Mar 24, 2016 I never got great results without 1) incredible focus and 2) solid analytics
Posted Mar 24, 2016 Brookline's feathered commuter
Posted Dec 15, 2015 Working out with sensors reading each muscle has taught me something: raw, incontrovertible data is not welcome. At lease not when you have a lifetime of experience that the data contradicts