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Artificial Intelligence Applications: Revolutionizing Data Management - DATAVERSITY

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In the last decade, Data Management personnel solved business problems with data; in the next decade, highly capable machines using Artificial Intelligence Applications will solve problems with available data in a scale unheard before. As the algorithm economy continues to gain momentum among global businesses, the challenges facing Deep Learning are still real. Big Data going mainstream may successfully help combat the Data Management issues making Big Data and Deep Learning the formidable combination for unlocking any complex data handling problem. How Artificial Intelligence is Revolutionizing IT Operation Analytics companies are already leveraging AI-powered Operations Analytics to optimize real-time business operations with "unprecedented granularity, preciseness, and impact."


IBM Watson: Why is it such a big deal?

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In January this year, a Japanese insurance firm replaced 34 of its employees with an AI system based on IBM Watson. One of the reasons why IBM Watson is so important is because IBM has opened Watson up to businesses and developers. IBM opened up Watson application programming interfaces in 2015, allowing developers to use the cloud-based artificial intelligence system with their own programs. Cognitive intelligence, artificial intelligence, and virtual reality all present opportunities for businesses to serve their customers in new and exciting ways.


Three Ways Artificial Intelligence is Good for Society - iQ by Intel

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Artificial intelligence helps farmers, doctors and rescue workers make a positive impact on society. There is a growing number of AI applications actively improving people's lives and creating positive change in the world. "AI will deliver societal transformation on par with the industrial, digital and information revolutions," Bryant told the SXSW audience. One of AI's greatest impacts could be in food production -- an industry challenged by a rapidly growing world population, competition for natural resources and plateauing agricultural productivity.


Machine-learning enhances, doesn't hurt, human creativity

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And pretty soon, they'll come for us. That seems to be the story today, whether from Hollywood or in breathless articles in popular tech magazines about artificial intelligence and nanotechnology. We've teamed up with Product Hunt to offer you the chance to win an all expense paid trip to TNW Conference 2017! In a world where machines can learn, once humans push the "on" button, there's no stopping our robot overlords, right? When machines become more intelligent, humans are freed to become more creative.


Why Artificial Intelligence is Important in Healthcare

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We know that Artificial Intelligence (AI) is a hot topic right now, yet on the flip side there has been criticism around its hype, especially at HIMSS17 this year. However, we need to continue to invest into AI Research and Development so we can maximize the benefits, such as lower healthcare costs, improved provider efficiency, more accurate billing, and safer patient care. It's unlikely that robots and computers will totally take the place of doctors and nurses, but AI can't be ignored in its efforts to revolutionize the healthcare industry. Not only does it predict outcomes and improve diagnostics, it changes the way healthcare providers think about how they provide care, says Forbes. The future possibilities are endless: industry analysts say that 30 percent of providers will use cognitive analytics with patient data by 2018.


Achieve & Acquia Spark Conversation around Machine Learning and Healthcare

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For more than ten years, Achieve, an Acquia partner, has been bringing innovative portal solutions to healthcare providers with a user-centered focus. They make the most complex web development projects possible for companies like Children's Hospital Los Angeles, Universal Music Group, Dexcom, The Recording Academy, and Scripps Translational Science Institute. Achieve sought out Acquia to participate in their latest Digital Health Innovations (DHI) event because of Acquia's involvement with technical trends like machine learning that are currently impacting the healthcare industry. Katherine Bailey, Principal Data Scientist at Acquia, was the featured speaker at the event. Like past DHI events, this one continued Achieve's aim of bringing the San Diego tech, healthcare, and life science communities together through thought leadership.


Machine-learning enhances, doesn't hurt, human creativity

#artificialintelligence

And pretty soon, they'll come for us. That seems to be the story today, whether from Hollywood or in breathless articles in popular tech magazines about artificial intelligence and nanotechnology. Gary Vaynerchuk was so impressed with TNW Conference 2016 he paused mid-talk to applaud us. In a world where machines can learn, once humans push the "on" button, there's no stopping our robot overlords, right? When machines become more intelligent, humans are freed to become more creative.


Machine learning: Should we be excited or fearful for our jobs?

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Nicola Mortimer, head of business products, marketing and operations at Three Ireland, on how machine learning can drive efficiency rather than drive people out of their jobs. Machine learning is predicted to be an integral part of more than 300m new smartphones sold this year. So, should we be excited or fearful for our jobs? It has been predicted that machine learning capabilities will be present in more than 20pc of smartphones sold globally in 2017. With few devices more ubiquitous in the developed world than the smartphone, machines that learn will now be at the fingertips of a large percentage of the population.


Three Key Skills For Staying Relevant In The AI Economy

Forbes

This piece was coauthored with Megan Beck, Chief Insights Officer at OpenMatters. The robots are coming for our jobs--all of them. According to McKinsey, 45% of the activities we do for work are already automatable, and that's just with current technology. As our technological capabilities grow, the list of jobs "at risk" from artificial intelligence (AI) and machine learning is expanding rapidly from manual and less skilled roles, such as driver and personal assistant, to "knowledge worker" roles such as doctor, investor and consultant. Admittedly every job is composed of various tasks and responsibilities--some more automatable than others.


3 Industries Artificial Intelligence Will Disrupt

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Artificial intelligence is making its way into nearly every aspect of our lives from driverless cars to autonomous machines and various internet services. AI's ability to learn by analyzing immense amounts of data has enabled machines to work alongside, and in some cases replace, human beings. And if the current boon in investment into AI is any indication, it will soon infiltrate many more areas of our lives. Many see this is a good thing. Three areas in particular are especially in need of a shakeup that AI just might be able provide.