One goal of AI work in natural language is to enable communication between people and computers without resorting to memorization of complex commands and procedures. Automatic translation – enabling scientists, business people and just plain folks to interact easily with people around the world – is another goal. Both are just part of the broad field of AI and natural language, along with the cognitive science aspect of using computers to study how humans understand language.
In a joint research effort forged in 2017, the MIT-IBM Watson AI Lab has put significant resources into a new approach to AI that could provide CX and digital transformation specialists with more accurate intent recognition. Known as "neuro-symbolic artificial intelligence," this approach could allow companies to do more with less data and provide for greater transparency and privacy. Employing the approach to Conversational AI could give brands the ability to "add common sense" to their chatbots, intelligent virtual agents and to the prompts provided to live agents. The science combines the probabilistic pattern recognition capabilities of today's Deep Neural Networks (DNNs) and "deep understanding" with an approach to AI that is based on representations of problems, logic and search that are considered more "human-readable." In a new report, Dan Miller, lead analyst and founder with Opus Research, presents the possibility for enterprises to improve automated conversational systems with significant implications for customer care, digital commerce and employee productivity.
Councils in the UK expect to save over £195million (€221 million) in 2020 by introducing artificial intelligence technology techniques, according to a national survey of local authorities. Financial savings, faster resolution of enquiries, freeing up staff to focus on citizen engagement and more accurate processing are the four key reasons behind the trend, revealed in a survey of unitary, borough, county and district councils carried out by local government AI and chatbot specialists Agile Datum . Councils each expect to save an average of £300,000 (€340926) in the next 12 months through greater use of artificial intelligence and another £180,000 ( €204556), on average, through the deployment of self-learning chatbots. One in six councils are anticipating savings between £750,000 (€85231 million) and £1m (1.1 million) just around the introduction of artificial intelligence technology. In all, it amounts to savings of £195m (€221 million) across unitary, borough, district and county councils in the UK.
An artificial intelligence agent named Tala may open the door on a new way of gathering feedback from New Zealand's Samoan community. The Talanoa Project is a pilot project that uses IBM's artificial intelligence virtual agent solution, Watson, to interact in real time in Samoan for public consultation and community engagement. Developed and designed by Beca, business director Matthew Ensor said it was about consulting with'the silent majority' in the public on projects and community facilities. "We don't hear so much from the people where language is a barrier, where culturally there's no tradition of responding to public consultation. "We then created a conversational agent, it's like a chat-bot and what it does is it mimics the kind of conversation that you would have with a consultation expert," Mr Ensor said. "It will ask open questions about your thoughts on different things and really lets the person lead the conversation rather than a survey form where the questions are completely scripted." Steve O'Donnell from IBM New Zealand's Managing Partner for Global Business Services said this was the first time IBM Watson Assistant had been used for public consultation in New Zealand in a language other than English. "What we are seeing now is AI being able to scale down, and drive value in many industries," he said. "IBM Watson has already transformed the world of customer service, due largely to its ability to understand human sentiment and interact naturally with people and Tala is a promising first step towards that." The Talanoa Project, part funded by Callaghan Innovation, tested Tala among a few dozen Samoan speakers, asking them for their thoughts on their local community facilities. The focus group of Samoans ranged from 19-years of age to 77 being the oldest and included Samoan elders, law students, psychologists and sociologists. "It was overwhelmingly positive the response we got back from the Samoan community," Mr Ensor said. "We had a few people share that it was great to hear technology using their native language.
Smart speakers sit in our homes, quietly listening to everything we say and feeding what they learn back to the corporations that spawned them, like sinister Elves on Shelves. Still, some of us can't resist the shiny allure of being able to yell random questions into the void like a medieval despot and get an answer back. This raises the difficult question of exactly which servant/spy to employ in your smart home. The Google Home and the Amazon Echo are two of the most prolific smart speakers on the market, but at first glance there's little separating them. Both allow you to control your smart home, play music, and set timers by speaking.
Microsoft has teamed up with a startup co-founded by Elon Musk to build one of the fastest supercomputers in the world, the company announced Tuesday during its annual Build developers conference -- held virtually this year because of the coronavirus pandemic. The startup is OpenAI, the charter of which underscores that it's working to ensure that AI which can outperform humans nevertheless benefits all of humanity. Microsoft stressed that this work represents a key milestone in a partnership announced last year to jointly create new supercomputing technologies in Azure. This is a first step, the computing giant explained, toward debuting large AI models "and the infrastructure needed to train them" as a platform that developers and other organizations can build on. "The exciting thing about these models is the breadth of things they're going to enable," said Microsoft Chief Technical Officer Kevin Scott in a company blog post about the news.
As the economy begins the slow process of re-opening, advanced technologies such as artificial intelligence, machine learning, and natural language processing are playing a key role not only in monitoring COVID-19 outbreaks, but how companies manage the unchartered landscape before them. Use of AI during the earliest days of the pandemic centered on tracking the spread of the disease around the world. Today, AI is playing a critical role in how pharmaceutical and biotech companies research and test treatments, and in the development of a vaccine. And now, as states begin to reopen, and businesses try to find the best path forward, these advanced technologies are enabling them to figure out how to do this safely and effectively. "Companies don't have historical data to work from because they've never dealt with a crisis like this before," said Katie Stein, chief strategy officer for Genpact, a global professional services firm that specializes in digital transformation.
The report titled "Artificial Intelligence In Healthcare Market" has recently added by MarketInsightsReports to get a stronger and effective business outlook. It provides an in-depth analysis of different attributes of industries such as trends, policies, and clients operating in several regions. The qualitative and quantitative analysis techniques have been used by analysts to provide accurate and applicable data to the readers, business owners and industry experts. The report presents the market competitive landscape and a corresponding detailed analysis of the major vendor/key players in the market. The leading players of Artificial Intelligence In Healthcare industry, their market share, product portfolio, company profiles are covered in this report.
How fast do trends in the market advance? Specifically with regards to artificial intelligence. Businesses are taking advantage of artificial intelligence as a breakneck pace. According to a BI Intelligence report, 80% of companies will use AI chatbots by 2020. Here are five advantages artificial intelligence can give your SMEs.
Digital marketing relies on leveraging insights from the copious amounts of data that gets created every time a customer interacts with a digital asset. In 2020, we anticipate a significant uptick in the mainstreaming of AI and machine learning use cases in digital marketing across several areas. In the past year, online search has had several AI and machine learning developments. Google is leading the pack with exciting applications in information retrieval. For example, Google's BERT technology can process a word in the context of all the other terms in a sentence, rather than one-by-one in order.
Imagine an automated meeting room, whether it be a conference room, lecture hall, or council chambers. The displays turn on automatically, the lights dim or brighten to the right level, previously configured for the type of meeting you are having. Cameras focus on whoever is speaking, switching seamlessly from presenter to audience member, when required. Inconspicuous microphones pick up high-quality sound. Recording or conferencing begins automatically, on schedule, or by voice command.