service centre
How artificial intelligence helped save world trade
The effects of the Covid-19 pandemic continue to severely disrupt trade. Yet some trade finance banks had the foresight to plan for such an eventuality, utilising capabilities that overcome market-wide limits on documentary trade. As appetite for trade digitalisation grows, Conpend's CEO, Torben Sauer, explains how banks are increasingly turning to technology to automate their document checking using AI – eradicating logistical challenges following a surge in remote working caused by the pandemic, and streamlining paper-based processes and transforming operational efficiency Over the last two years, financial institutions (FIs) have experienced unparalleled disruption as the Covid-19 pandemic continues to impact regions across the world. What they have not experienced, however, is a major decline in functionality. While the crisis initially sent shockwaves through the financial markets in March 2020, the operations of most of the world's major banks converted to home working without a single day's loss in service.
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EdgeTier says customer care is ripe for digital disruption
Founded in 2015 by Bart Lehane, Ciaran Tobin and Shane Lynn, EdgeTier recently raised €1.5m in a funding round led by Episode 1, ACT Venture Capital and Enterprise Ireland. The Dublin start-up delivers high-quality analytics products and services to clients in the areas of customer service, customer simulation, and analytics services. The company also recently won Enterprise Ireland's Digital Disruptor award. "EdgeTier builds products to make customer contact centres more intelligent, more efficient, and more effective," explained CEO Shane Lynn. "EdgeTier uses artificial intelligence and machine learning techniques to enable contact centres to provide higher-quality customer experience at incredible levels of efficiency."
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Tesla's Musk says Model 3 begins production Friday
The first $35,000 (£27,000) Tesla Model 3 vehicles will begin production on Friday after the electric car passed key regulatory tests ahead of schedule. The five-seat car will be able to travel 215 miles (133 kilometres) on a single charge and will be sporty, accelerating from zero to 60mph in under six seconds. Tesla's Model 3 sedan passed all regulatory requirements for production two weeks ahead of schedule, Chief Executive Elon Musk tweeted on Sunday night. Tesla's Model 3 sedan passed all regulatory requirements for production two weeks ahead of schedule, Chief Executive Elon Musk tweeted on Sunday night The first models of the 35,000 (£27,000) electric vehicle begin production this week. The five-seat sedan will travel 215 miles (133 kilometres) on a single charge.
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Robotic automation takes off in the Nordics
Automation is among the top priorities for Nordic IT decision makers in 2017, according to the latest TechTarget survey, with 37% of Nordic-based survey respondents planning to implement an IT automation initiative during the year. This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers. You also agree that your personal information may be transferred and processed in the United States, and that you have read and agree to the Terms of Use and the Privacy Policy. Robotic process automation (RPA) is a particularly hot topic, but what does it mean for Nordic companies?
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Artificial Intelligence in your service centre - Enterprise Times
Salesforce has announced Service Cloud Einstein to deliver artificial intelligence solutions to customer service agents. Salesforce pushed Einstein, its AI platform, heavily at Dreamforce last year. It has a huge development focus on the product. This effort has culminated in the release of Einstein for Service cloud. It delivers artificial intelligence, arguably machine learning, to the service industry.
LG to adapt machine learning into after-sales service ZDNet
LG Electronics will use machine learning technology to offer customized after sales (AS) services for its smartphone users, the company announced. The South Korean tech giant said it will adopt machine learning, big data analytics, and other, latest artificial intelligence technologies sequentially, starting in the first quarter of this year, to offer remote AS services via its apps. Thanks to machine learning, the app's diagnosis will improve over time, data will be processed faster, and LG will be able to offer services customized for the individual customer. The South Korean tech giant said over 80 percent of visits to service centres from its smartphone users were for simple requests or software problems. The remote service will drastically reduce its customers' needs to visit physical service centres, it said Artificial intelligence technology will be put into its "Smart Doctor" app.
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