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How Netflix uses AI to find your next series binge

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Wait, how did Netflix know I wanted to watch that? Through the use of Machine Learning, Collaborative Filtering, NLP and more, Netflix undertake a 5 step process to not only enhance UX, but to create a tailored and personalised platform to maximise engagement, retention and enjoyment. In the last decade, learning algorithms and models at Netflix have evolved with multiple layers, multiple stages and nonlinearities. This has developed to the stage at which they now use machine learning and deep variants to rank large catalogues of content by determining the relevance of each of their titles to each user, creating a personalized content strategy. Not only is the content customized, it is then also ranked from most to least likely to be watched.


How to video chat using Amazon Alexa or Google Assistant

USATODAY - Tech Top Stories

In an effort to curtail the spread of COVID-19, many Americans are working from home as health global experts continue to encourage social distancing. While you've probably got plenty of board games, TV shows, and other entertainment to keep you company, they can't replace facetime with friends and family. Smart assistants like Amazon Alexa and Google Assistant can help! Here's how to quickly and easily video chat with your loved ones using Alexa and Google Assistant. Amazon has several Echo smart displays that can be used for video calls, like the Echo Show 5 (pictured).


Amazon's Alexa updated to help respond to users who are concerned they may have novel coronavirus

Daily Mail - Science & tech

Amazon's voice assistant, Alexa, can now help users who are worried about having been infected with novel coronavirus. According to the company, users can now query any device equipped with Alexa with phrases like'Alexa, what do I do if I think I have coronavirus?' and the assistant will begin to quiz them about their symptoms. The assistant will then provide users with information pulled from the Centers for Disease Control and Prevention in an effort to provide sound advice on what to do. Amazon's line of Alexa-enabled devices like the Echo (pictured) can now provide users guidance on what to do if they think they may have novel coronavirus As a part of the update, users can now also ask Alexa to'sing along' while they wash their hands to help them time the task for 20 seconds - the recommended amount of time for proper sanitation. That feature is currently available in Australia, Brazil, Canada, France, India, the UK, and the US and mirrors a similar feature rolled out by Google on its home assistants. The feature most closely mirrors one rolled out by Apple this week which updated its own voice assistant, Siri, to help provide users with guidance on coronavirus.


Outcomes Rocket Healthcare Using AI and Machine Learning

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When you hear the words artificial intelligence, what's the first thing that comes to mind? Driverless cars, Amazon shopping, Netflix movie recommendations and trading software to help bankers. Many think of artificial intelligence in healthcare as a buzz word or just a concept that will fully develop in the near future, but has no impact in your life right now. Some other household examples of current-day technology that use AI include Siri, Alexa, Google Now โ€“ these popular speech recognition software assistants all use artificial intelligence! Recently, Alexa was cleared to handle patient information.


Making Sense of Artificial Intelligence's Impact in 2020 - RTInsights

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Here are a few predictions about how several industries that impact our everyday lives will be impacted by AI not only this year but beyond. The buzz surrounding AI and its impact in 2020 and beyond shows no signs of slowing down. Driven by the emergence of virtual assistants, such as the Alexa, Siri, and Google Assistant ecosystems of devices, AI has now been incorporated into the everyday life of consumers. While it's impossible to predict the future with certainty, technologies that incorporate AI and automation are maturing at an incredibly rapid rate across some industries. Here are a few predictions about how several industries that impact our everyday lives โ€“ specifically healthcare, manufacturing, and mobility โ€“ will be impacted by AI not only this year but beyond.


Research: Retailers to spend $37.3bn on AI software between 2019 and 2025

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The retail industry is suffering from the decline of physical stores, and is turning to artificial intelligence in order to breathe new life into the shopping experience, suggests latest research from Omdia. The analyst firm predicts that spending on AI software by retail organizations will reach $9.8 billion per year by 2025, up from just $1.3 billion in 2019. Omdia has identified a total of 24 use cases for AI software in retail, and analyzed the 11 that are expected to account for 91 percent of spending in the next five years; it predicts that this particular niche of the AI market will be led by supply chain and inventory management software, with a 15 percent market share. This will be followed by AI-based applications in image recognition and visual search (13 percent), virtual digital assistants fine-tuned for the needs of eCommerce (12 percent), video surveillance analytics (12 percent), and tools that enable personalized customer journeys (10 percent). "AI technologies have begun to move from research lab projects to the engines that drive genuine business solutions. These technologies are disrupting a variety of industries, from healthcare and telecommunications to financial services and retail, primarily by bringing scale and efficiency to bear in solving business problems," said Mark Beccue, principal analyst at Omdia.


You don't have to choose between Alexa and Google--here's how they work together

USATODAY - Tech Top Stories

For those of us building a smart home, we all face the same problem: Which digital assistant to use? Between the vast libraries of skills and abilities of the two biggest players, Google Assistant and Amazon Alexa, it can be tough to choose. But the good news is that you actually don't have to. You can comfortably live with both assistants under one roof thanks to these helpful tips. You've got a Google Home at one end of the living room and the best Echo speaker, Amazon's Echo (third-generation) at the other--which one is worth talking to all the time? Both Google Assistant and Alexa offer plenty of connected home prowess. This is precisely why it's so hard to choose between the two.


Conversational Artificial Intelligence (AI) Trends and Use Cases

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Artificial Intelligence (AI) is advancing faster and has reached a new inflection point where it is effortlessly talking to humans. The technology evolution in human interactions began with the origin of chatbots, which initially treated conversations like a game of tennis--talk, reply, talk, reply. With time, they became more humanized to deliver immersive experiences. The rise of voice assistants, on the other hand, turned a new page in the history of AI-human relationship. Amazon's Alexa, Apple's Siri, and Google's Assistant became an integral part of our lives and dramatically changed the way we interacted with them.


How Artificial Intelligence Is Affecting Our Everyday Lives

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All of us are familiar with how Artificial Intelligence (AI) is changing our workplace but what we don't realize is how AI is also impacting our lives outside of the office. AI is disrupting every area of our lives, whether we're trying to read our emails, get driving directions, find good restaurants, or get music or movie recommendations. Here are some of the best examples of how AI is used in our everyday lives. Deep Learning, a subset of AI, is the key component used in self-driving and parking vehicles to recognize the space around a vehicle. There are many companies that are implementing AI in cars to give them the power to see, think, and learn, so they can navigate a nearly infinite range of possible driving scenarios.


Speech recognition technology is racist, study finds

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New evidence of voice recognition's racial bias problem has emerged. Speech recognition technologies developed by Amazon, Google, Apple, Microsoft, and IBM make almost twice as many errors when transcribing African American voices as they do with white American voices, according to a new Stanford study. All five systems produced these error rates even when the speakers were of the same gender and age, and saying the exact same words. We can't know for sure if these technologies are used in virtual assistants, such as Siri and Alexa, as none of the companies disclose this information. If they are, the products will be offering a vastly inferior service to a huge chunk of their users -- which can have a major impact on their daily lives.