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AI Headhunters & Tech Trends in Global Talent Recruitment

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There's an old adage, "good help is hard to get," that is making something of a comeback in today's increasingly dynamic and competitive global human resource industry. In 2016, the HR industry's total operating income reached €491 billion, while 2007-2016 CAGR was about 9 percent. Flexible labour accounts for about 71 percent of modern market share, 20 percent comes from management service providers, 8 percent from high-end talent search, and 1 percent from recruitment process outsourcing and specialized services. Recruitment and staffing are challenging areas that have been getting the most market investments. There are numerous derived services and platforms catering to recruiting: headhunters for high-end talents, background investigation services, consulting firms, and of course the popular online recruitment platforms such as LinkedIn and Glassdoor.


The Grammys go high-tech with IBM and artificial intelligence

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Along with Versace and Jean Paul Gaultier, artificial intelligence and Natural Language Processing will be important accessories on the 62nd Annual Grammys' red carpet. IBM will enhance the red carpet livestream with Grammy Insights with Watson this Sunday at the Staples Center in Los Angeles. The team at IBM took over 18 million documents and data sources on this year's Grammy nominees and distilled them down to the most interesting nuggets about each of the artists to create a modern day version of the 90s' "Pop Up Video." When an artist is on the red carpet, that's when the artificial intelligence (AI) will kick in. This includes Lizzo, who has eight nominations, Lil Nas X with six nominations, and Billie Eilish with nominations in the top four categories, according to CBS News.


Developments in Artificial Intelligence for Mental Health Care

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Advances in artificial intelligence have considered computers to help doctors in diagnosing disease and help screen patients' vital signs from any area. Significant advances have been made in artificial intelligence that will soon affect the manner in which mental health care is practiced in everyday clinical settings. The outcome will be increasingly individualized treatment integrating both traditional and evidence-based complementary and alternative medicine (CAM) modalities, progressively viable and more cost-effective medicines of numerous mental health issues, and improved results. In Europe, the WHO assessed that 44.3 million individuals suffer from depression and 37.3 million endure with anxiety. Diagnosis of mental health disorders depend on an age-old method that can be subjective and unreliable, says paper co-creator Brita Elvevåg, a cognitive neuroscientist at the University of Tromsø, Norway.


How artificial intelligence provided early warnings of the Wuhan virus

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During the kind of virus outbreak that China and other nations are now contending with, time is of the essence. The earlier the warning, the better the chance to contain the contagion. One problem, though, is that governments are sometimes reticent to share information. Such was the case in 2002 and 2003, when Chinese authorities were accused of covering up the SARS epidemic that eventually claimed over 740 lives around the world. With the current outbreak, involving a coronavirus that originated in Wuhan and has so far taken over 40 lives, the Chinese government is being more transparent, as Germany's health minister noted to Bloomberg yesterday on the sidelines of the World Economic Forum in Davos.


Living AI: From Potential To Practice

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Artificial intelligence (AI) is ubiquitous. Whether we are consciously aware of it or unknowingly using it, AI is present at work, at home and in our everyday transactions. From our productivity in the office to the route we take home to the products we purchase and even the music we listen to, AI is influencing many of our decisions. Those decisions are still ours to make, but soon enough the decisions will be made by AI-enabled systems without waiting for the final approval from us. As of now, the default state for decision systems is "off."


Siri for Self-Drive Cars: Genius or Patenting the Obvious? - ExtremeTech

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This project may be Apple's fallback to building its own car. From 2014 to 2019, roughly, Apple's Project Titan was a ground-up autonomous, electrified vehicle project. Apple found out that building a car is enormously complex, there are regulatory hurdles to clear far tougher than for phones or PCs, and you can't build a world-class auto factory in a couple of years. Apple also found out that not everyone wants to run a contract factory for Apple, including BMW and Daimler, and if there was an agreement, divorce court would have followed closely. Too many egos and everyone would want the final say.


The Grammys go high-tech with IBM and artificial intelligence

#artificialintelligence

Along with Versace and Jean Paul Gaultier, artificial intelligence and Natural Language Processing will be important accessories on the 62nd Annual Grammys' red carpet. IBM will enhance the red carpet livestream with Grammy Insights with Watson this Sunday at the Staples Center in Los Angeles. The team at IBM took over 18 million documents and data sources on this year's Grammy nominees and distilled them down to the most interesting nuggets about each of the artists to create a modern day version of the 90s' "Pop Up Video." When a musician is on the red carpet, that's when the artificial intelligence (AI) will kick in. Grammy Insights with Watson will use Watson Discovery, Natural Language Processing (NLP) and Speech to Text technologies to analyze the red carpet audio and video in real time to identify which artist is on the red carpet and the nature of the interview between the artist and the host.


Time To Enjoy The 'Semantic Experiences' Offered By Google To Play Word Games With The AI

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Google is silently churning out many new technologies with wide ranging and far reaching impacts. The AI platform that Google is working on for quite some time has already been integrated with its digital assistant called Google Assistant that has been successfully leveraged into smart speakers of all types including the Google's own Google Home. But, this was just the beginning and company is on the verge of delivering something new this time. Google made tremendous research in the fields like natural language processing and synthesis. Google for quite some time is working on a new technology that can allow people more ease without relying too much on the Assistant.


AI not limited to pilot projects, now helps companies improve efficiency

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Global consulting firm Accenture's'AI: Built to Scale' study said companies are using AI to enhance customer service, productivity, brand perception, working capital utilization and to plan new product offerings. For the study, Accenture surveyed 1,500 C-suite executives from companies with a minimum revenue of $1 billion in 12 countries, across 16 industries. Although a majority of companies surveyed are still stuck at conducting AI experiments, a small but growing group of organisations across the globe have successfully used AI to improve efficiency. A major North American technology company required a dynamic integrated approach for its vast and complex supply chain. Open source machine learning (ML) tools were used to analyse demand uncertainty, cost drivers, customer relationships, and rate of technological change.


An AI Epidemiologist Sent the First Warnings of the Wuhan Virus

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On January 9, the World Health Organization notified the public of a flu-like outbreak in China: a cluster of pneumonia cases had been reported in Wuhan, possibly from vendors' exposure to live animals at the Huanan Seafood Market. The US Centers for Disease Control and Prevention had gotten the word out a few days earlier, on January 6. But a Canadian health monitoring platform had beaten them both to the punch, sending word of the outbreak to its customers on December 31. BlueDot uses an AI-driven algorithm that scours foreign-language news reports, animal and plant disease networks, and official proclamations to give its clients advance warning to avoid danger zones like Wuhan. Speed matters during an outbreak, and tight-lipped Chinese officials do not have a good track record of sharing information about diseases, air pollution, or natural disasters.