In the U.S., 1 in 2 men and 1 in 3 in women will develop cancer over the course of their lifetimes. That sobering statistic comes direct from the American Cancer Society, a non-profit organization with roughly a century-worth of data on the disease. Cancer care and research is changing on almost a daily basis. "It's humanly impossible for any doctor to know all this information," said IBM's Chief Health Officer Dr. Kyu Rhee told Mashable. Even in his own practice, Dr. Rhee, who is an internist and pediatrician by training, would have turned to the ACS's information, manually searched and printed out relevant pieces for cancer patients to take with them.

Looking at the performance of IBM shares over the past five years, it is clear that a change in strategy is needed. IBM's share price is down approximately 9% since 2011 compared to a 54% gain in the S&P 500. The goal of this article is to develop a strategy for IBM to leverage the power of IBM Watson artificial intelligence to stage a comeback. The proliferation of cloud, social and mobile technologies have led to the most successful and innovative companies becoming increasingly concerned with the ability to successfully build a digital platform. Apple, Google, Facebook and Amazon each created platforms that co-create value by connecting to other business who can build products and services on their platforms.

When you think about it, the tech world has a lot in common with old-time religion. There are impassioned camps -- think Android vs. iOS or Mac vs. Windows -- devoted to a particular software or hardware platform. And tech conferences that attract the faithful often embrace the fevered intensity of a tent revival. This isn't a bad thing, of course, as a little enthusiasm never hurt anybody. And it makes sense that major companies, including IBM, hire charismatic, persuasive individuals as evangelists to spread the word about their products and services.

Every 60 seconds, Facebook users share 2,460,000 pieces of content and Yelp receives 26,380 reviews. Then there's the 2 million blog posts created each day and the 1 billion websites available for us to peruse.

IBM's Watson just gave doing the robot a whole new twist. While dancing has never been a forte of machines, IBM's artificial intelligence system is proving that robots really can have fun (even if it has to be programmed in). In a demo presented during Nvidia's GTU technology conference, IBM Watson's chief technology officer, Rob High, showed off a concierge robot named Watson Nao, whose many talents include singing and dancing -- all in an attempt to humanize these humanoids. The multi-lingual robot is powered by IBM Watson, and the AI has come a long way since winning Jeopardy back in 2011. Now, Watson is on a mission to show that it's more than just a super impressive brain -- it's kinda like you and me, too!

As data grows, organizations are increasingly seeking for an intelligent information discovery and analytics platform that goes beyond keyword searches and better understands users' intent. With Google Now and Cortana, advanced question answering systems are starting to become ubiquitous. Recently, Gartner has also started discussing'insight engines,' a new technology that can provide natural, total, and proactive search, analytics, and discovery. Please let us know the email address we should be sending a PDF copy of the white paper to. A download link will be immediately emailed to you - please check your junk mail if you have a strong email filter.

WIRED Health 2016 takes place on 29 April in London. IBM's Watson supercomputer is perhaps best known for winning the gameshow Jeopardy, but its expertise is now being applied to healthcare Kyu Rhee will be speaking at WIRED Health 2016 on 29 April in London. From helping humans live longer to understanding the brain, WIRED Health will hear from the innovators transforming this critical sector. You might know IBM's Watson best for its victory on US game show Jeopardy!, or perhaps for its cookery prowess, or even the campaign to elect it to the US presidency. But IBM hopes that its supercomputer can also change the way doctors diagnose their patients, putting vast quantities of data at a physician's fingertips.

WIRED Health 2016 takes place on 29 April in London. IBM's Watson supercomputer is perhaps best known for winning the gameshow Jeopardy, but its expertise is now being applied to healthcare Kyu Rhee will be speaking at WIRED Health 2016 on 29 April in London. From helping humans live longer to understanding the brain, WIRED Health will hear from the innovators transforming this critical sector. You might know IBM's Watson best for its victory on US game show Jeopardy!, or perhaps for its cookery prowess, or even the campaign to elect it to the US presidency. But IBM hopes that its supercomputer can also change the way doctors diagnose their patients, putting vast quantities of data at a physician's fingertips.

Five years ago IBM Watson came to the attention of the world thanks to Jeopardy. The real achievement of Watson, however, wasn't its victory over Ken Jennings, said Rob High Jr., an IBM Fellow and head of the Watson Group, during his keynote at the GPU Technology Conference. Rather it was Watson's ability to digest so much information and understand the questions thrown at it. IBM then looked around to see where else those capabilities might be useful, and the first thing that came to mind was doctors. Since then it has turned out that there are many industries that could benefit from what it calls cognitive computing.

The IBM Watson AI system drew the world's attention by winning at "Jeopardy" in February 2011 against two of the game's all-time champions, and IBM has strived to apply the Watson system to more interesting problems than a trivia quiz ever since. IBM has also extended Watson's capabilities to developers, data scientists, and even ordinary business users. Along with IBM's SPSS predictive analytics software, Watson forms the foundation of IBM's cloud offerings in machine learning and advanced analytics. IBM breaks the Watson system into five parts: machine learning, question analysis, natural language processing, feature engineering, and ontology analysis. From these parts, IBM has built out a suite of composable cloud services from which you can make your own mini-Watson for a solution to your problem.