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Investorideas.com Newswire - The AI Eye: Nuance (NasdaqGS: $NUAN) Names Board of Directors for Automotive Spin-Off Company and Veritone (NasdaqGM: $VERI) One Announces Influencer Bridge for Content Creators

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Nuance Communications, Inc. (NasdaqGS:NUAN) has named the board of directors for its automotive spin-off company, Cerence Inc. Arun Sarin, former CEO of Vodafone, will be appointed Cerence Chairman of the Board when the spin-off is completed on October 1, 2019. Also named to the board is Sanjay Dhawan, who previously served as president of the Connected Services Division and chief technology officer of Harman Industries International since 2015. According to the press release, "Dhawan brings a deep understanding of AI and machine learning applications, with a focus on developing solutions at the intersection of devices, sensors, cloud solutions and data integration". "For Cerence's future Board of Directors, we have assembled a group of highly talented leaders who bring a variety of meaningful, deep talent and expertise. As Nuance prepares to spin the automotive business into Cerence, the extensive knowledge, unique insights, and proven success of this board will serve Cerence and its shareholders well and will be integral to the company's bright future."


AI-based Healthcare Startup, ekincare Bags Award at SuperStartUps Asia 2019

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The function was held recently at India Habitat Centre, New Delhi. SuperStartUps Asia Awards are selected through a rigorous 3-tier process. The award gives the start up an exposure to investors and helps boost the profile of the business among various stakeholders, vendors, employees, regulatory authorities and prospective customers. The award not only benefits the business but also helps the owners to have a better understanding of the trends and industry through brainstorming and interactive sessions. Mr Kiran Kalakuntla, founder and CEO of ekincare said, "ekincare is pleased to receive the SuperStartUps Asia 2019 award. This is an achievement of the ekincare team who supported a vision that I had. Not only for the team, it is also an assurance for our clients that they have trusted the right platform for their employee's wellness. For us, this award is a motivation to perform better and match up to the expectations of our clients. The insights by the industry experts during the interactive sessions were educative and we are looking forward to achieve more with their help."


$4.79 Billion Artificial Intelligence in Accounting Market by Component, Deployment Mode, Technology, Enterprise Size, Application, and Region - Global Forecast to 2024 - ResearchAndMarkets.com

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The "Artificial Intelligence in Accounting Market by Component, Deployment Mode, Technology, Enterprise Size, Application (Automated Bookkeeping, Fraud and Risk Management, and Invoice Classification and Approvals), and Region - Global Forecast to 2024" report has been added to ResearchAndMarkets.com's offering. The Artificial Intelligence (AI) in Accounting Market Size is Expected to Grow from USD 666 Million in 2019 to USD 4,791 Million by 2024, at a CAGR of 48.4% The AI in accounting is driven by various factors, such as the growing need to automate accounting processes and support enhanced data-based advisory and decision making. However, growing concerns over high criticality of data volume and quality, and investment related issues with the integration of AI in accounting can hinder the growth of the market. The AI in the accounting market based on component is segmented into solutions and services. The services segment is expected to grow at a rapid pace during the forecast period.


Global Artificial Intelligence (AI) Market in BFSI Sector 2019-2023 32% CAGR Projection Over the Next Five Years Technavio

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LONDON--(BUSINESS WIRE)--The global artificial intelligence (AI) market in BFSI sector is expected to post a CAGR of more than 32% during the period 2019-2023, according to the latest market research report by Technavio. A key factor driving the growth of the global artificial intelligence (AI) market size in BFSI sector is the push toward autonomous banking. Automation has become one of the most prioritized digital transformation strategies for banks. Financial institutions are increasingly focusing on developing more self-driving finance solutions owing to increased customer expectations for personalized services and rewards. Therefore, banks and credit unions are integrating AI and big data analytics to understand customer behavior.


Amazon, Cerner team up on AI, machine learning

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Cerner is joining forces with Amazon as the EHR giant positions itself to deal with the rapidly changing healthcare environment, including the rise of consumerism. Partnering with a brand predominantly known for speed, convenience and affordability could be a good move for Cerner, especially now that Amazon's done more than just dip its toe in the market. "AWS's global infrastructure and breadth and depth of services, coupled with Cerner's health care technology acumen and source for data, can bring significant benefits to Cerner clients." the companies said in a Tuesday blog post. Amazon's foray into healthcare stretches across at-home diagnoses with Alexa's voice recognition technology, pharmaceutical distribution with subsidiary PillPack, a venture to lower healthcare costs in tandem with industry heavyweights J.P. Morgan and Berkshire-Hathaway, and machine learning, AI and data hosting through its cloud services arm. "If you look even just at Amazon Web Services, everything that we do is because customers are asking us to help," Taha Kass-Hout, Amazon's senior leader of healthcare and artificial intelligence, told Healthcare Dive earlier this year.


New Flyer, Robotic Research Plan to Improve Public Transit Using Autonomous Bus Technology - Inside Unmanned Systems

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St. Cloud, Minnesota, USA โ€“New Flyer of America Inc., a subsidiary of NFI Group Inc., the largest bus manufacturer in North America, recently announced an exclusive partnership with Robotic Research, LLC to advance autonomous bus technology through developing and deploying advanced driver-assistance systems (ADAS) in heavy-duty transit bus applications. Last week, New Flyer had more big news as the company announced a new contract from New York's Capital District Transportation Authority for four 40-foot, zero-emission, battery-electric Xcelsior CHARGE heavy-duty transit buses. New Flyer invested more than two years assessing world-leading technology providers for sophisticated autonomous vehicle development. It ultimately selected Robotic Research based on the company's proven, industry-leading, artificial intelligence-based technology, coupled with its extensive experience delivering successful Level 5 autonomous vehicle applications for customers within the defense and intelligence community, including the U.S. Department of Defense. "New Flyer has a proud history of leading innovation, industry firsts, and technology advancement in public transportation," said New Flyer President Chris Stoddart, in a press release "Our ADAS vision supports the mobility needs of all Americans relying on public transit for safe and reliable transportation every day. Partnering with Robotic Research furthers our commitment to utilize the best expertise and technology available, while reaffirming our responsibility to work with regulators and stakeholders on standards and test protocols that integrate automated vehicles safely into the existing transportation system."


Cisco Announces Intent to Acquire Voicea

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Cisco (NASDAQ: CSCO) today announced its intent to acquire privately-held Voicea, headquartered in Mountain View, CA. Voicea is the creator of a market-leading real-time solution that provides meeting transcription, voice search, and meeting highlights/action items, with robust data privacy. It helps teams have more productive and actionable meetings by turning talk into action. With Voicea technology, Cisco will enhance its Webex portfolio of products with a powerful transcription service that blends AI and Automated Speech Recognition (ASR) to unlock the power of any collaboration, like meetings and calls. Our first focus with Voicea is to turn meetings into a treasure trove of digital meeting notes and insights.


Neuropore Therapies and BenevolentAI Enter Strategic Collaboration to Discover Novel Therapeutics Through the Application of Artificial Intelligence

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SAN DIEGO--(BUSINESS WIRE)--Neuropore Therapies, Inc. announced today that it entered into a collaboration with BenevolentAI to evaluate molecular targets implicated in progressive degenerative diseases which were identified through artificial intelligence. The molecular targets of interest are implicated in dysfunctions in proteostasis and can therefore be modulated to restore normal cellular protein clearance mechanisms. The collaboration aims to discover small molecule therapeutics for multiple targets. Errol De Souza, President and CEO of Neuropore, stated, "We are very excited to establish this collaboration with BenevolentAI. The application of artificial intelligence to the elaboration of novel approaches to medicine is one of the leading edges of science and is an approach that is bound to lead to new discoveries. Neuropore's Autophagy Platform is a perfect testing ground for new hypotheses and discoveries. In addition to its drug discovery capabilities, Neuropore's development and translational experience in degenerative disease makes it a great fit for both companies."



Artificial intelligence researchers discuss bias in algorithms at Northeastern University for New England Machine Learning Day

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Machine learning, which trains computers to accomplish specific tasks without receiving explicit instructions from humans, has become an increasingly valuable tool for a variety of industries. But the rapid incorporation of machine learning into marketing, finance, healthcare, and other fields has raised a range of ethical concerns that must be addressed. That was the message embraced by five artificial intelligence experts from academia and industry who convened at Northeastern on Friday to discuss the challenges of integrating machine learning into the workplace in order to improve processes and productivity. Researchers, they said, need to work to eliminate bias in algorithms, more accurately communicate to the public the limitations of machine learning, and build systems that prioritize the health and wellness of humans. "Machine learning has come to a point now where it is very central to essentially every branch of science and technology," said D. Sculley, a software engineer at Google.