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 Personal Assistant Systems


Hey Google sensitivity setting arrives for Google Home and Nest devices

PCWorld

If you've been having trouble waking Google Assistant on your Google smart speakers and displays--or, on the flip side, if the assistant is occasionally waking by accident--there's a new Google Home setting that might help. Rolling out now to Google Home and Nest devices, the "Hey Google" sensitivity setting lets you determine how sensitive a given device is when it comes to listening for the "Hey Google" or "OK Google" wake words. You can find the setting (which was originally announced last fall before getting a quick preview a week ago) by opening the Google Home app, tapping one of your Google Home/Nest speakers or displays, and then tapping the Device settings button. You should see the "Hey Google" sensitivity setting about two-thirds of the way down the Device settings screen. Tap it, then use the slider to make your Google device either more responsive or less responsive to the "Hey Google" or "OK Google" wake words.


How banking benefits from AI and voice technology

#artificialintelligence

From the implementation of self-serve ATMs in the 1960s to the widespread use of computers in the late 1970s and early 1980s, Fintech has always been the cutting edge space for innovation that directly impacts the consumer. It's no surprise then that the banking industry spent nearly $30 billion on data and business analytics tools and software in 2019. Business Insider Intelligence estimates that banks can save as much as $447 billion through artificial intelligence by 2023, by using it for customer service, anti-fraud efforts, and underwriting support. Additionally, banks have been cited to use AI tech far more than many other industry, with 75% of banks already doing this to some degree. It's the consumer-side of banking that presents the greatest opportunity for AI integration, however.


It's No Joke: AI Beats Humans At Making You Laugh

#artificialintelligence

We all enjoy sharing jokes with friends, hoping a witty one might elicit a smile--or maybe even a belly laugh. A lawyer opened the door of his BMW, when, suddenly, a car came along and hit the door, ripping it off completely. When the police arrived at the scene, the lawyer was complaining bitterly about the damage to his precious BMW. "Officer, look what they've done to my Beeeeemer!" he whined. "You lawyers are so materialistic, you make me sick!" retorted the officer.


The potential of empathetic AI 7wData

#artificialintelligence

The term artificial intelligence has been around since 1956; however many people don't truly understand what it means or how it affects their lives on a daily basis. Visions of robot overlords and sentient computers, no doubt the product of science fiction and pop culture, seem to always be attached to AI. But today, AI permeates all manner of things, from spam filters, to personalized recommendations, to voice assistants like Siri, Alexa and Cortana. While AI and machine learning are extraordinarily useful for completing manual tasks faster and more efficiently than human beings, science is always pushing the boundaries of what AI can do. In the business world, large enterprises are under constant pressure to close the gap with customers, to innovate how they engage, and to act with empathy โ€“ as a means to develop deeper (and ultimately more valuable) relationships. AI technologies provide a potential means to achieve that level of intimacy.


Mark Cuban: If I had to start a side hustle now to make extra money, this is what I'd do

#artificialintelligence

Billionaire investor Mark Cuban is bullish on the future of artificial intelligence and has been for years. Not only has he made it a priority to learn about and invest in AI himself, but he has consistently recommended other entrepreneurs do the same. And if the ABC's "Shark Tank" star had to start a side hustle business today, that's where Cuban would turn. "I would become an expert in scripting for Alexa and Google Home and Cortana and go to any place that sold devices they supported and show them how much more they could do with a few hours of personalization," he tells CNBC Make It. By "scripting," Cuban is referring to the process of coding voice commands to create so-called "skills," which enable devices โ€“ like Amazon's Echo or Echo Dot, which use artificial intelligence-enabled voice assistant Alexa, Google Home or Microsoft's Cortana โ€“ to complete a task.


Online Dating Is Surprisingly Great Now--Because Men Actually Have to Have Conversations

Slate

Slate is making its coronavirus coverage free for all readers. Subscribe to support our journalism. I've been single for about two and a half years. Not unhappily so, but I keep a busy schedule that allows me time to go out and meet new people or to go on dates, but rarely both. Despite that, I've been able to maintain a rather pleasing love life, thanks in great part to the apps. Obviously, I haven't yet settled down with Mr. Right Enough just yet, but I've connected with great friends, met remarkable lovers, and explored both fleeting and long-term romance on my own terms.


OVERLY Intimate With Amazon's Alexa?

#artificialintelligence

Sign in to report inappropriate content. Holland Cooke hosts a panel discussion between legal & media analyst Lionel and radio host Dave Graveline about the inherent privacy risks of a'smart home' INUNDATED with technology that's CONSTANTLY listening to and analyzing every word we say. Just how much of ourselves are we willing to share with devices like Amazon's Alexa? What are steps we can take to keep our private lives PRIVATE? For more information on the stories we've covered visit our websites at RT.com.


Council Post: The Rise Of Conversational Interfaces And Their Impact On Business

#artificialintelligence

Adrien Schmidt, CEO of Bouquet.ai and Co-Founder of Squid Solutions, is a successful Entrepreneur, Engineer and Innovator. Now, conversational user interface (UI) is more than just another notion of the future in popular science fiction. It is driving the slow disappearance and replacement of physical tools and applications -- from the traditional graphical user interface to menu bars, trackpads, mobile device buttons and more. It begs the question, how will tools be used in a post-voice-computing environment and how will data be received and processed as the technology advances? As a thought leader in this space and the owner of two tech companies, one an enterprise software company in natural language processing and the other a big-data solutions provider, I have been witnessing a gradual shift and the influence conversational interfaces now have in this industry.


Java / Kotlin Backend Engineer job at HelloDone, London May 2020

#artificialintelligence

The HelloDone team is set to revolutionise the customer experience for millions of home deliveries as well as transport passengers using machine learning and personalised, automated conversations via the likes of WhatsApp, Facebook Messenger, Slack, Amazon Alexa, Google Assistant and more.. The atmosphere here is professional and focused but we're still very much a startup. We are flexible, agile and we have huge energy to make a real impact, for our clients and end-users alike. Our values are influenced by our backgrounds at successful startups, big tech companies and premier consulting firms, all combined to create an approach which we feel works fantastically well. If you're interested in using your development experience in playing a key, early role in the development of a truly customer-centric innovation, keep reading.


Amazon Uses Self-Learning to Teach Alexa to Correct its Own Mistakes

#artificialintelligence

Digital assistant such as Alexa, Siri, Cortana or the Google Assistant are some of the best examples of mainstream adoption of artificial intelligence(AI) technologies. These assistants are getting more prevalent and tackling new domain-specific tasks which makes the maintenance of their underlying AI particularly challenging. The traditional approach to build digital assistant has been based on natural language understanding(NLU) and automatic speech recognition(ASR) methods which relied on annotated datasets. Recently, the Amazon Alexa team published a paper proposing a self-learning method to allow Alexa correct mistakes while interacting with users. The rapid evolution of language and speech AI methods have made the promise of digital assistants a reality.