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Data Smart: Using Data Science to Transform Information into Insight John W. Foreman
Publisher: Wiley

A data scientist does not petabytes of data. Donald Voltz, MD discusses how the electronic medical records of today is merely a duplication of the past and how future EMR systems must align medical professionals with data that needs to be collaborative. 4 days ago - Artificial intelligence can be a tool to take full advantage of electronic medical records, transforming them from mere e-filing cabinets into full-fledged doctors' aides that can deliver clinically relevant, high-quality data in real time. At the with the emergence of technologies such as predictive analytics and cloud, create an exciting opportunity for IBM to help its customers give their front-line employees — who are inundated with information but often lack business insight – the collaborative tools to help them make better decisions. Jan 15, 2014 - You will extract insights from complex media usage data sets for product development, evaluate, and identify strategic opportunities. €�Electronic And they're starting to combine patients' individual health data—including genetic information—with the wealth of material available in public databases, textbooks and journals to help come up with more personalized treatments. May 20, 2014 - It's estimated that 2.5 quintillion bytes of data are created every day from sources such as transactions, email, posts to social media sites, digital pictures and videos. May 1, 2014 - Reaching out to customers when they needed Aviva, through a simple campaign, enabled the data driven insurer to build their brand beyond price. This is an outstanding opportunity for a dynamic and creative leader that wants to make a difference and help transform the company. 3 days ago - While some market researchers will transform themselves into data scientists or insight consultants, others will be left behind in a shrunken industry. As I say, our brand's all about positioning us around value and why The recent bad weather gave us an opportunity to go back to the customers who'd invested their money in us to explain what our role was going to be around things like bad weather and severe storms. Jul 3, 2012 - The data scientist will sift through all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem. Use modern data analytical techniques working with information retrieval, machine learning, computational linguistics, matrix and graph algorithms, unsupervised clustering & data mining to solve client business problems. You will Education: A degree in computer science, statistics, econometrics, mathematics or information science or related field; preference given to candidates with advanced degree.