The future of AI is collaborative

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Jordan French is a multi-media journalist on the editorial staff at TheStreet.com He is also the Founder and Executive Editor at Grit Daily News. Formerly an engineer and attorney he represented the "People of the United States" in energy market manipulation cases as an enforcement attorney at the Federal Energy Regulatory Commission. As an engineer he worked on the Mars Gravity Biosatellite Program and later co-founded BeeHex, Inc., the personalized nutrition and robotics company that popularized 3D-printed pizza. The author of forthcoming book, The Gritty Entrepreneur, he is a frequent public speaker, technology evangelist and media moderator.


Google deploys AI software to clean 'trashy videos' from YouTube - Express Computer

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YouTube is littered with extreme and misleading videos, and the company has been criticised for not doing enough to limit the dreck. But one place the Google unit has managed to clean up is YouTube's homepage. Behind the scenes, Google has deployed artificial intelligence software that analyses reams of video footage without human help, deciphers troubling clips and blocks them from the homepage and home screen of the app. Its internal name is the "trashy video classifier," according to three people familiar with the project. The system, which has not been reported before, plays a key role in attracting and keeping viewers on YouTube's homepage, building a foundation for a flurry of new advertising coming to the video service.



How AI Is Powering Customer Service, Engagement, And The Customer Experience

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AI is making inroads into enhancing customer service and the overall customer experience, sometimes in a directly customer-facing role; sometimes behind the scenes in support of human customer service agents; and often in a hybridization of these roles. Paddy Srinivasan is professionally involved bringing AI to all things customer service- and customer experience-related, and I enjoyed speaking with him recently. Micah Solomon: How much of a mark is AI making today in customer service and support, and how is it helping to optimize the customer experience overall? Paddy Srinivasan, SVP and GM, Customer Engagement and Support at LogMeIn: AI is changing the face of customer service as we know it. Whether it's a customer-facing chatbot helping customers answer simple questions or an agent-facing [internal] bot offering assistance with more complicated questions, almost every interaction can now benefit from having some level of AI around it – even if the customer doesn't directly see it.


Rice statistician's warning grabs headlines around the globe Statistics

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Rice University statistician Genevera Allen knew she was raising an important issue when she spoke earlier this month at the American Association for the Advancement of Science (AAAS) annual meeting in Washington, but she was surprised by the magnitude of the response. Allen, associate professor of statistics and founding director of Rice's Center for Transforming Data to Knowledge (D2K Lab), used the forum to raise awareness about the potential lack of reproducibility of data-driven discoveries produced by machine learning (ML). She cautioned her audience not to assume that today's scientific discoveries made via ML are accurate or reproducible. She said that many commonly used ML techniques are designed to always make a prediction and are not designed to report on the uncertainty of the finding. Her comments garnered worldwide media attention, with some commentators questioning the value of ML in data science.


Discovering The Power Of The Cloud For Artificial Intelligence

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Business loves buzzwords, and there's been no bigger buzzword recently than artificial intelligence. AI, of course, lets companies optimize their operations, business models and customer experiences around data-driven insights, while developing products and services that align more closely with customer needs. Now that leading cloud service providers are providing AI-driven machine learning and deep learning training platforms--customized to business user data and accessed as cloud-hosted application programming interfaces--companies of all sizes can seize the benefits of AI. By offering an alternative to on-premise AI solutions, cloud providers are giving small businesses the same advantages their larger counterparts are looking to exploit. Among the valuable AI tools at their disposal are natural language processing, image recognition, translation, search functions and data analytics.


Artificial intelligence to aid Finnair efficiency

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Artificial intelligence firm, Silo.AI, along with Finnair have created machine learning AI program that will allow for better prediction of potential interference to air traffic. This groundbreaking program can be utilized to gauge weather conditions that could affect flight punctuality. This way airlines will be more prepared for unusual circumstances. Flight promptness is probably the most important aspect that impacts the customer's satisfaction, and weather conditions play a big role in determining this factor. Now Silo.AI has provided an answer, making it a lot easier for Finnair be more organized when it comes to these influential scenarios.


Surgical robots, new medicines and better care: 32 examples of AI in healthcare

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Artificial intelligence simplifies the lives of patients, doctors and hospital administrators by performing tasks that are typically done by humans, but in less time and at a fraction of the cost. One of the world's highest-growth industries, the AI sector was valued at about $600 million in 2014 and is projected to reach a $150 billion by 2026. Whether it's used to find new links between genetic codes or to drive surgery-assisting robots, artificial intelligence is reinventing -- and reinvigorating -- modern healthcare through machines that can predict, comprehend, learn and act. Check out these 32 examples of AI in healthcare. In 2015, misdiagnosing illness and medical error accounted for 10% of all US deaths. In light of that, the promise of improving the diagnostic process is one of AI's most exciting healthcare applications.


How Should Businesses Better Implement Artificial Intelligence?

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How should modern enterprises go about implementing artificial intelligence? Enterprises in every industry would want to adopt AI. I've yet to speak with an executive who hasn't considered how AI could impact their team or company. They know it can deliver unparalleled operational efficiency, enable new business models, delight customers, and ultimately drive their bottom line. Despite this, only 30% of enterprises report piloting an AI project.


Top Artificial Intelligence Books to Read in 2019 MarkTechPost

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A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. In this mind-expanding book, scientific pioneer Marvin Minsky continues his groundbreaking research, offering a fascinating new model for how our minds work. He argues persuasively that emotions, intuitions, and feelings are not distinct things, but different ways of thinking. Introduction to Artificial Intelligence presents an introduction to the science of reasoning processes in computers, and the research approaches and results of the past two decades.