Hearst Newspapers Case Study Google Cloud Platform

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Instead of hiring a larger team, Hearst Newspapers is solving the problem with Google Cloud AI. Using Google Cloud Natural Language API to enable content classification with powerful machine learning models in an easy-to-use REST API, Hearst Newspapers can understand what its content is about, regardless of how it is structured and presented on the company's many websites. Although Hearst Newspapers previously used a legacy system that attempted to automate the classification process, it was not as fast or as accurate. "Google Cloud Natural Language API is unmatched in its accuracy for content classification," says Naveed Ahmad, Senior Director of Data at Hearst Newspapers, who is responsible for data centralization and business intelligence using Google Cloud Platform. At Hearst Newspapers, we publish several thousand articles a day across more than 30 properties.


Walmart's drone delivery plan includes blockchain tech ZDNet

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Walmart has submitted a patent application for a drone delivery system that focuses on how packages will be received. Instead of just delivering goods to your doorstep, drones would drop packages into secure boxes (lockers) that communicate with the drone. The application describes a smorgasbord of technology that could be used to ensure secure drop-off, including geofencing and a blockchain for package tracking and identification. Just like most patent applications, Walmart's "Unmanned Aerial Delivery to Secure Location" is jam-packed with redundant language, ambiguous line drawings, buzz words, and ample legal jargon. Still, the basic premise is clear: a delivery system that includes a robotic vehicle that communicates with a secure locker.


Google AI Can Now More Accurately Sequence Your Genome

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The science of deep learning involves the creation of artificial neural networks, computer models based on the structure and function of the human brain, which attempts to recreate our ability to learn. The system is fed massive amounts of data and controlled by complex algorithms, and can then recognize patterns from the data. It can make associations and distinguish differences from those patterns, which results in the ability to draw conclusions and make predictions based on the information.


Enhancing Claims Experience With AI - Insurance Thought Leadership

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Insurance is now ready for an AI-based analytics platform that can help minimize claim costs and improve customers' claims experience. Insurtech and artificial intelligence (AI) have become the new buzz words and mantra in the insurance industry. Creativity and innovation are thriving in Silicon Valley with more than 1,600 technology companies in the insurtech space for underwriting and claims. If you remember, back in the 1990s, experts predicted that if your company was not an internet company, you would not be around for long. That prediction came true, but what about the current prediction that artificial intelligence for claims will change the insurance industry?


HOW ARTIFICIAL INTELLIGENCE IS SHAPING ASSISTANCE SERVICES

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Due to the fact that telematics monitoring is almost standard in most vehicles these days, it is possible for AI to track the exact location of a car and automatically dispatch emergency assistance, should it be determined that an accident has taken place. Furthermore, the future use of driverless cars will integrate seamlessly into assistance centres, with AI diagnosing the problem and then digitally dispatching assistance, should it be deemed necessary. It is also becoming widely accepted that AI will be able to generate unique policies for each customer, based on their preferences and risk profile. AI-enabled assistance services will be able to render assistance services to these products without the risk of getting tied up between the different policy exclusions and limits. When we look at what is happening in the insurance industry currently, it is clear that it is in its Fourth Industrial Revolution.


20% of Indian enterprises use artificial intelligence - Times of India

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BENGALURU: Indian enterprises have been quick to adopt artificial intelligence (AI) with nearly one in five organizations implementing it in some way, said an Intel India commissioned report undertaken by research firm IDC. By mid-2019, about seven in 10 firms are anticipated to deploy AI. IDC surveyed 194 Indian companies across four verticals -- telecom, media & technology (TMT); retail; banking, financial services, & insurance (BFSI) and healthcare. The report said nearly 75 per cent of the firms surveyed anticipate benefits in business process efficiency and employee productivity with the use of AI, and 64 per cent of the respondents believe that this technology can empower them in revenue augmentation through better targeting of offers and improved sales processes. Despite a higher propensity to adopt AI, firms believe they will face a shortage of skills to unlock the opportunities through AI. "We all talk about the opportunity that India presents for AI, but often the types of industries that will embrace AI, the challenges that AI can address, and the roadblocks in implementation, are vague.


Animal shelter's homeless-shooing robot gets the boot

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The nonprofit faces $1,000 per-day fines imposed by the city if the roving 5-foot-tall Autonomous Data Machine dubbed "K-9" is caught making the rounds without a proper permit. This shouldn't be an issue, however, as the SPCA has presumably returned the $6-per-hour rental robot with a "commanding presence" to its maker, Silicon Valley startup Knightscope, following significant public uproar and threats of retribution. The backlash began in earnest after the San Francisco Business Times published an interview with SF SPCA President Jennifer Scarlett in which she implied that the robot, adorned with stickers of cute-as-a-button kittens and at least one life-sized Chihuahua, was enlisted with the purpose of shooing away homeless San Franciscans living in encampments on the fringes of the SPCA campus, which encompasses an entire city block in the rapidly gentrifying Mission District. San Francisco, which is in the throes of a seemingly never-ending affordable housing crisis, has the sixth highest largest homeless population in the United States. Just under 7,000 people are living on San Francisco's streets per estimates from the Department of Housing and Urban Development although local authorities and homeless advocacy groups believe the number to be much higher.


NASA uses Google machine learning for exoplanet detection ZDNet

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An eighth planet orbiting a Sun-like star over 2,500 light years away called Kepler-90 has been detected by running the data from NASA's Kepler Space Telescope through a Google neural network. The network was trained using 15,000 previously vetted signals from the Kepler exoplanet catalogue, NASA explained, before it moved on to learning how to detect weaker signals. "We got lots of false positives of planets, but also potentially more real planets," said NASA Sagan postdoctoral fellow Andrew Vanderburg. "It's like sifting through rocks to find jewels. If you have a finer sieve, then you will catch more rocks but you might catch more jewels, as well."


Set of reels. Mary O'Neill's Fancy, The Crock Of Gold, Leaving Road To Turn

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This set of Irish tunes was generated by the irish-RNN recurrent neural network and played by midi instruments. All details can be found here: http://irishabc.com


Intuition versus Machine Learning – The Future Leadership Dilemma, Marianne Hewlett, CMO, Atos Benelux

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Many top executives cite intuition as the reason for their success, with leadership often being associated with decisiveness and quick thinking. Seasoned leaders are not only confident in their instincts but also adept at making others feel confident in their judgement. Despite being aware of the machine power on offer and wanting to be more data-driven however, many executives are choosing to discount this approach. The Forbes and PwC report, goes on to mention that this is because the data presented to them by their teams is often unclear or unfamiliar. On the other hand, going with our gut can help us to make faster, more accurate decisions, with human decision-making based on more than just instinct.