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How Enterprises Can Scale their Machine Learning - InformationWeek

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Enterprise organizations recognize the key functions that artificial intelligence and machine learning will play in their businesses in the future, and, depending on what survey you have read in the last year, they are investing to make that future a reality. But what does it take to build a successful AI and machine learning practice? What does it take to go beyond building that practice and actually integrate AI and machine learning tools into the business itself where professionals across the organization touch it every day? How can we make these technologies which promise to provide a competitive edge into the lifeblood of the enterprise. A couple of new Forrester Wave reports, which evaluate predictive analytics and machine learning tools, provide a blueprint for the successful AI-driven business of the future.


5 Ways to Overcome Cognitive Overload

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Cognitive overload happens to students and teachers. Often looking like ADHD, cognitive overload can happen for a variety of reasons including challenges to your working memory. Todd Finley some ways to help your students and yourself when you struggle with cognitive overload. What is it, and how do we work with it in our students and in ourselves? Today thought leader Todd Finley is going to help us understand this.


Digital Banking Winners Look Beyond 'Posers' and 'Theater'

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The winners of the future will not be those with the best digital technology and advanced analytics tools, but those organizations who can apply these tools for the benefit of the consumer. It is time to move from great internal reports to fantastic consumer experiences. Subscribe to The Financial Brand via email for FREE!Ever since JP Morgan declared itself a technology company that provides financial services – not the other way around – analysts and investors have been scrambling to discern which banks are doing tech well. They know the banks that harness the power of artificial intelligence, machine learning and big data, and more importantly, the applied business insights they can generate, will be the banks that will be the winners in the long run. "Long term I think this will determine the split between winners and losers," one investor told the Financial Times in a story on AI and banking earlier this year.


Amazon launches Scout, a machine learning-powered visual shopping tool

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Amazon is experimenting with a new tool called Scout designed to help shoppers better figure out what they want to buy in a more visual fashion, according to a report from CNBC, which first spotted Scout live on Amazon's site. Using a combination of imagery, a thumbs up and down voting mechanism, and machine learning technology, Scout offers an almost Pinterest-like way of browsing Amazon products, then refining recommendations through user input. Currently, the site lets you search for furniture, kitchen, dining products, home décor, patio items, lighting, and bedding, as well as women's shoes. In time, Amazon will add more products like clothing and handbags, it said. For example, if you're looking for a dresser, or a new comforter, or deck chairs, you're often stuck scrolling down through a long list of matching results that aren't at all customized to your particular tastes.


How Artificial Intelligence Can Help Companies Surf the Wave of Big Data

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A.I. offers a precise navigational tool, he says, to find the right nuggets of data as more and more information pours into companies, a trend that's expected to accelerate with the widespread adoption of blur-fast 5G networks later this year. Handling data properly is critical because misusing it, or allowing it to be compromised, can badly damage a brand, he added. He spoke with Barron's Wednesday before delivering a speech on "Democratization of A.I." in San Francisco. Stine, who has been with AT&T nearly 40 years, won the newly created title of chief data officer a year ago. He's part of a wave of CDOs at Fortune 500 companies, where the position didn't exist a few years ago.


Who should answer the ethical questions surrounding artificial intelligence?

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Continuing advancements in artificial intelligence (AI) for use in both the public and private sectors warrant serious ethical consideration. As the capability of AI improves, the issues of transparency, fairness, privacy, and accountability associated with using these technologies become more serious. Many developers in the private sector acknowledge the threats AI poses and have created their own codes of ethics to monitor AI development responsibly. However, many experts believe government regulation may be required to resolve issues ranging from racial bias in facial recognition software to the use of autonomous weapons in warfare. On Sept. 14, the Center for Technology Innovation hosted a panel discussion at the Brookings Institution to consider the ethical dilemmas of AI.


MIT CSAIL creates AI that associates objects and spoken words

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Machine learning algorithms tend to be specialized -- they excel at singular, highly repetitive tasks. But a new paper published by researchers at the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Lab (CSAIL) describes something of an AI polymath: a model that's equally skilled at both speech and object recognition. "We wanted to do speech recognition in a way that's more natural, leveraging additional signals and information that humans have the benefit of using, but that machine learning algorithms don't typically have access to," David Harwath, a researcher at CSAIL and a coauthor on the paper, told MIT News. "We got the idea of training a model in a manner similar to walking a child through the world and narrating what you're seeing." To that end, their system learned to identify objects in an image by associating the words it heard in speech samples with regions in the picture.


Emerging Tech Will Create More Jobs Than It Kills by 2022, World Economic Forum Predicts

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The advancement of robotics and artificial intelligence will make 75 million jobs obsolete by the year 2022, according to a new report. Sounds dreadful, but the same report goes on to predict the creation of 133 million new jobs over the same period. There's a lot of uncertainty right now about the future of work, and how emerging technologies will change the nature and availability of jobs in the coming years. It's tempting and wholly reasonable to believe, as so many do, that technological advances, particularly in the areas of robotics and AI, will result in massive unemployment. At the same, technological progress could also create new opportunities and completely new forms of employment.


Why AI alone cannot guarantee better user engagement

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Carl has extensive experience leading significant businesses in the online and offline world. He was CEO for ValueClick's International business for over a decade and was responsible for building a very significant and profitable business for the NASDAQ listed enterprise. He oversaw huge growth in areas as diverse as affiliate marketing, mobile advertising, shopping comparison, display advertising and analytics. He was also responsible for a number of very successful acquisitions and integrations. Prior to his time in digital Carl also had a successful career as a magazine publisher.


Swarm AI Sets New Benchmark in Diagnostic Study

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A "Hive Mind" of Doctors, moderated by AI algorithms, makes more accurate diagnoses than the Doctors or Machine Learning alone, according to a new study from Stanford and Unanimous AI For more info visit www.unanimous.ai