A company that develops Software as a Service to help consumers navigate health insurance options is rolling out a new solution that uses machine learning and the computing capabilities of IBM Watson. Welltok is offering its Virtual Benefits Agent, developed by its Applied Cognitive Computing Practice. The company says the solution that addresses the majority of health coverage and preventative care questions before they reach a customer service representative, presenting health plans with the potential to save millions of dollars. The Virtual Benefits Agent was created by Welltok's Applied Cognitive Computing Practice, which applies proprietary technologies, IBM Watson and expertise to solve complex healthcare challenges. Recently, the team worked with a major national health plan, building on an existing framework and leveraging available content, to expedite development of the Virtual Benefits Agent capability.

The former belongs to the realm of explanatory models, the latter to the realm of predictive analytics. Explanatory models, often involving linear regression, are concerned with explaining a given phenomenon and finding causal relationships between an output (dependent) variable, and a host, often very few, input (independent) variables. The objective is to find a good regression model that fits the data very well which meets the underlying assumption of linear regression. The emphasis here is on hypothesis testing, p-values, confidence intervals,…Once a good model is found, one can use it for estimating the value of the output variable for given values of the input variables. It is OK to estimate an output value based on interpolation, but one must use extreme caution in estimating output values based on extrapolation because the regression model is an explanatory model, not a predictive one.

Artificial Intelligence is poised to disrupt the entire eCommerce industry. An interesting convergence is taking place; one that will have enormous implications in the way retailers sell their products and services and the way consumers buy them. Artificial Intelligence capabilities and applications are attempting to solve real-world issues that eCommerce industry are facing. How Artificial Intelligence in e-commerce can play an important and game changing role, moving beyond customer segmentation to help them achieve the best possible results? The visual Search engine is one of the most exciting trends of Artificial Intelligence in eCommerce.

SAN FRANCISCO, CA--(Marketwired - Nov 3, 2016) - While many fans dreamed the Chicago Cubs would make it to the World Series, few fans or pundits actually predicted it. But UNU, the world's first Artificial Swarm Intelligence, made a bold set of baseball predictions back in early July, naming all eight teams to make the playoffs and asserting the Cubs would win their first pennant since 1945 and first World Series since 1908. For good measure, UNU also correctly picked the Cubs' opponent, the Cleveland Indians. It was way back at midseason, during the All-Star break, when the Boston Globe challenged Unanimous A.I. to use their UNU system to do something audacious -- predict the full outcome of the 2016 baseball season. Unanimous delivered a set of picks to the Globe, which they published and have been tracking ever since.

Artificial intelligence has become the pet anxiety of luminaries like Elon Musk, Bill Gates, and Stephen Hawking. They have all expressed concerns about our Promethean quest to develop machine intelligence, and those concerns seem to be spreading every day. But there's another dimension of technological change that ought to worry us every bit as much as AI, if not more so. Bioengineering has already allowed human beings to take control of their own evolution. Whether it's emergent cloning technologies or advanced gene therapy, we're quickly approaching a world in which humans can -- and will -- change the way they live and die. Michael Bess is a historian of science at Vanderbilt University and the author of a fascinating new book, Our Grandchildren Redesigned: Life in a Bioengineered Society. Bess's book offers a sweeping look at our genetically modified future, a future as terrifying as it is promising. "We're going to give ourselves a power that we may not have the wisdom to control very well," he told me.

Google just launched Google Home, a voice-activated speaker, powered by the tech giant's virtual Google Assistant that's also featured in their new Pixel and Pixel XL smartphones. The speaker aims to bring the power of Google's numerous services--like offering weather updates and converting measurements, among other tasks--into a stylish and easy-to-use package. At a quick glance, Google Home is a direct rival to the popular, Alexa-powered Amazon Echo speaker. Google has priced the newcomer attractively at $130, revealing that it has serious intentions about this rapidly growing product category. Google Home features a high-quality speaker with three audio drivers, sophisticated far-field microphones, and intuitive touch controls.

Presume we have millions getting hospitalized in seconds and many give up their lives because of ignorance. Can DATA SCIENCE be used to wade off this IGNORANCE completely? In the era when we have genome project ongoing I believe having all information's handy being so surplus "coming under the purview of Big Data" can we use data science to help PREDICT who next to be hospitalized well ahead of time rather than waiting for the symptoms to popup and we take some irrelevant pills to waive off those symptoms. While working at my phd problem statement, I got stumbled over this idea what I have disclosed for an open discussion struck by how the supervised machine learning techniques that industries used can be restructured to suit to help predict the next person in our neighborhood to be hospitalized and the hospital get an alarm call and then the concerned person is diagonozed and treated in its preliminary stage itself rather than waiting and advancing it to NEVER COME BACK stage. Supervised machine learning helps with prediction of Y if given X.say we have a situation of Y MX C is the condition of disease element in our body.If both Y and X are known data science help mankind to identify those m and c which could curb the growth of X and Y. say in the case of cancer cell being X and Y parameters and we wanted to curb the growth we need to find values of m and x which could stabilize and neutralize the effects.

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The games developer gets into hacker education. People tend to think the world of data capture--as it pertains to their online activity--is limited to web clicks. It is not at all, and Ubisoft wants you to understand that as the gaming company promotes its new hacker-themed video game called Watch Dogs 2, which is due out Nov. 15. The Montreal-based player today is launching a microsite called Selfie Reveal, which allows viewers to upload pictures they've shared on social media to understand what data--such as their location--can be gleaned from their pics. The initiative, which is being led by agency AKQA, is being pushed by digital ads on Facebook, Twitter and other channels.