Political advisors and those savvy to the political process have a saying by which they operate: "Ignore what politicians say, and instead watch how they vote. The two are rarely the same." While political races have been and are surrounded by the opposite of that wisdom – rabid furor in the base supporters fueled by the latest candidate sound bites – the consumerization of data is set to upend that paradigm.
RAI Stone Group launched a new predictive analytics system that combines big data and SMB past and present performance data so that financial providers can coach SMB clients on future business decisions. It also allows the financial providers to assess and mitigate risks associated with serving a specific SMB as well as capitalize on the more successful SMBs.
Predictive analytics in healthcare are a little dicier because gaps exist in our knowledge of biology that create wild cards in modeling. Even so, the current trends in pooling healthcare data globally, mining past clinical trial data and patient data and adding more nuanced data that was harder or impossible to gather and analyze earlier are already rendering strong results.
Predixion announced at the Intel Developer's Forum that it has partnered with Wind River to mashup Predixion Insight and the Wind River Helix Device Cloud to enable advanced, at-the-edge Internet of Things analytics – specifically, predictive analytics.
SAS announced today that the USDA's Food and Nutrition Service (FNS) is now using its predictive analytics to combat fraud in the Supplemental Nutrition Assistance Program (SNAP), formerly known as food stamps. Specifically the analytics are being used to thwart a scam known as SNAP trafficking wherein a food stamp recipient illegally sales SNAP benefits for cash.
Predixion and PLAT.ONE have teamed up to provide real-time, predictive analytics on the edge for PLAT.ONE's vertical smart cities, industrial monitoring, smart buildings and vending Internet of Things applications.
Apple and IBM have released 10 more enterprise mobile apps that work on iPhones, iPads and Apple Watches as part of their MobileFirst for iOS venture. The 10 mobile apps, which employ predictive analytics, include apps for managers of shift workers, field service workers, business travelers, mortgage officers and other workers.
A study published in June in the Journal of the American Medical Informatics Association found that combining data from sources including an EHR system improved the accuracy of predictions that identify patients at risk of falling.
Basic protections against insider threats are still an afterthought, behind almost everything else. Consider using predictive and real-time analytics to identify those who bear close watching and to catch them in the act.
Companies choosing to use predictive analytics – extracting data to predict trends and behavior patterns – are learning that the solution isn't necessarily quick or easy, even if it produces useful results and higher profits down the line.