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Latest AI Chatbot Software Development Trends

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Software companies with tight-knit agile and strong release management practices have a significant competitive advantage. To realize this advantage, an organization must first optimize its release management process and identify the most appropriate platform and release management tools. In 2016, we heard the slow and steady drumbeat of chatbot Softwares and other AI-infused solutions that are focused AI Chatbot Software Development Company in India that including, predictive analytics and cloud offerings. In 2017, they will be fully well-established in companies across a wide range of industries and different latest trends will be introduced this year. This year it introduces more advanced techniques compared to last year.


Designing better voice assistants

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In the first article of our conversational AI series, we explored how the proliferation of voice assistants and messaging platforms are giving way to a new era of user interfaces (see the sidebar, "A five-part series on conversational AI"). Whether it's in the car, a phone, or a smart home device, nearly 112 million US consumers rely on their voice assistants at least once a month--and that number continues to grow.1 These can range from the mundane, such as misinterpreting a request for ordering a roll of paper towel, to the more troubling error of providing a harmful health recommendation (or conversely, providing an accurate, but difficult to interpret recommendation).2 Despite the uptick in adoption of voice-enabled virtual assistants, designing effective products is a nontrivial endeavor. Virtual assistants often deal with multiple, sometimes complex scenarios that require understanding a range of queries to which users expect a quick, accurate, and easily interpretable response.


Human beings are unable to connect with artificial intelligence: Pranav Mistry - ETtech

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Neon, the artificial human prototype conceptualized by computer scientist and inventor Pranav Mistry, created waves recently. The President and CEO of Samsung's STAR Labs told ET in an exclusive interview that he created Neon because human beings are unable to connect with artificial intelligence (AI) assistants such as Apple's Siri. The Palanpur (Gujarat)-born Mistry, considered one of the best innovative minds in the world right now, said Neon will be a companion to the elderly and to those who are lonely and could even work as fashion models or news anchors. The 38-year-old also spoke about the dangers posed by AI,echoing Google parent Alphabet Inc's chief Sundar Pichai who recently called upon governments to regulate AI. Edited Excerpts: When you started thinking about Neon, what was the problem you were trying to solve?


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.


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.


IBM's Watson Center pitches AI for everyone, from chefs to engineers

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At the IBM Watson Experience Center, digital and physical worlds meet in a futuristic-looking lounge overlooking San Francisco's Financial District. "Regardless of the industry you're in, there's likely an application for AI … even as a chef," said IBM's data and AI engagement lead Euniq Nebo, as he stood before a 32-foot digital screen displaying human-size images of various professionals. A chef on the screen stepped forward and came to life. Nebo spoke of questions facing a restaurant chef, such as which cutting-edge tools to invest in, or whether to incorporate local produce into a cuisine. But IBM is betting its AI can "extract the insights" from data to help its clients stay ahead of the curve, Nebo said.


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

#artificialintelligence

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.