Data scientists have a variety of different skills that they bring to bear on Big Data projects. One valuable skill that is becoming popular in data science is machine learning. Machine learning is a method of data analysis that automates model building that allows computers to find hidden insights without being explicitly programmed to find a particular insight. Machine learning can be applied to data to help businesses quickly find clusters of similar objects (e.g., identify segments of customers) and to predict outcomes (e.g., identify customers who are at-risk of churning). While machine learning is a hot skill to possess, a recent study by Evans Data Corp. found that about a third of developers (36%) who are working on Big Data projects employ elements of machine learning.

Attracting the best talent is the ultimate motive for recruiting professionals. In discussion with Mr. Adhiraj, Vice President (HR), ITC, we at CareerBuilder were acquainted with some innovative thoughts on how technology and recruiting would take place in 2015. "As technology continues to develop, can we assume that businesses will still be using recruiters 10 years from now? There are grounds for doubt, but it seems on the contrary that recruiters will have a highly strategic role to play in attracting and motivating the best talents for the projects, management and operations of the organizations they serve. One thing is certain, however: the digital transformation that began in 1995 with the advent of the Internet compels us to rethink everything.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

With a simple one-time Q&A session – and without the need to pre-define a single keyword, rule, topic or sentiment value – a junior employee in days can arrange to have Revuze deliver the most nuanced information available. The data is delivered, via a single screen, about consumers and their needs, across thousands of internal and external data sources, on any given product family. Revuze has created and is widely introducing its technology available for Product Experience Management, enabling brands to quickly understand product and customer satisfaction issues, and to automatically score and rank the brand's performance, both relative to its competitors and to the market as a whole. "Global brands have told us that this is a game changer for managing their brand health," said Revuze Co-Founder and CEO Ido Ramati. "They are now able to make the kind of key business decisions and utilize data from such varied sources in ways that before were not possible. Through our introduction of AI into this field, brands can now gain an immediate, granular understanding of what customers are saying about their brand, product or competitors, without having to hire teams of experts."

My first job in market research was in 2001 as Director of Call Center Operations for a healthcare-focused MR firm. We did NCQA CAHPS studies using a rigid CATI sampling method, and we sold excess capacity as a field & tab provider for other research companies. We also were bidding on many government studies such as the CDC BRFSS, so I was receiving a crash course in sample theory and applying very hardcore probability sampling models to the studies we were conducting. I had come from a customer service call center operations management background, so I knew how useful IVR (Interactive Voice Response) could be and was exploring if there was a role for that technology in a research paradigm, and through that effort was recruited by my vendor, DialTek, to become their VP of Operations. DialTek did outbound (they still power the polling of Rasmussen Reports) and inbound (lots of satisfaction surveys when calling into a customer service line) IVR surveys, and during my time there we experimented with using it as a recruitment tool for qual, to build online panels, as a partial solution to streamline phone surveys, etc… In other words, I know the technology very well and understand the best uses cases for it.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

The National Museum of Nature and Science on Tuesday added Lion Corp.'s enzyme-based laundry detergent Top to a list of important historical materials that have had an impact on Japanese lives and culture. Top, which first hit the market in 1979, was among 16 items honored with the designation by the Tokyo museum as "Essential Historical Materials for Science and Technology." With its protein-removing enzymes, the laundry detergent has been popular for its cleaning performance and environmentally friendly formula. Among the other products chosen to make the annual list this year were NEC Corp.'s PC-9801 16-bit personal computer, which debuted in 1982, and the Yagi-Uda antenna, the world's first directional ultrashort-wave antenna that is now used throughout the world in radios and televisions. The antenna, commonly known as the Yagi antenna, derives its name from one of its developers, Dr. Hidetsugu Yagi of Tohoku University.

By the year 2030, artificial intelligence (A.I.) will have changed the way we travel to work and to parties, how we take care of our health and how our kids are educated. Focused on trying to foresee the advances coming to A.I., as well as the ethical challenges they'll bring, the panel yesterday released its first study. The 28,000-word report, "Artificial Intelligence and Life in 2030," looks at eight categories -- from employment to healthcare, security, entertainment, education, service robots, transportation and poor communities -- and tries to predict how smart technologies will affect urban life. "We believe specialized A.I. applications will become both increasingly common and more useful by 2030, improving our economy and quality of life," Peter Stone, a computer scientist at the University of Texas at Austin and chair of the 17-member panel of international experts, said in a written statement. "But this technology will also create profound challenges, affecting jobs and incomes and other issues that we should begin addressing now to ensure that the benefits of A.I. are broadly shared."

If you think you're computer doesn't know you better than anybody in your life, then you're very, very wrong. This type of artificial intelligence is becoming more and more common and is just kind of the way it's going to be with new technology from now on. TechCrunch breaks it down for us, saying that RankBrain is really ANI – artificial narrow intelligence, which is like, "AI for one particular thing (e.g. Last year, Google announced their new search software, RankBrain, that according to Bloomberg News, "Can make a guess as to what words or phrases might have a similar meaning and filter the result accordingly, making it more effective at handling never-before-seen search queries." While it may sound a little too Ex Machina for comfort, it's actually a pretty cool development.

Berlin - 03 Sep 2016: at IFA Berlin – one of the world's leading trade shows for consumer electronics – IBM (NYSE: IBM) was joined by some of the biggest names in the industry to highlight how Watson IoT technologies are poised to drive a new wave of innovation in the home and play a key role in one of the biggest technological transformations in the history of the world. According to Harriet Green, Global Head of IBM Watson IoT: "millions of sensors are giving appliances and devices eyes and ears, increasing their inbuilt intelligence and enabling them to interact with us better." "The challenge is that over next few years, the Internet of Things will become the biggest source of data on the planet. That's where IBM's Watson cognitive computing system comes in. Watson uses machine learning and other techniques to understand this data and turn it into insight, which can help automate tasks, enable manufacturers to design better products, innovate new services and enhance our overall quality of life – especially in the home. And with cognitive technologies, interactions with'things' through natural language and voice commands will dramatically improve," added Green during her keynote at IFA. Examples of companies tapping IBM's Watson IoT platform include: Whirlpool is using Watson technologies to help deliver superior customer service and enhance people's lives at home by enabling its home appliances to connect with and interact with one another and their users.