Tags: artificial-intelligence*

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  1. In a world of hyper-adoption – and hyper-abandonment – successful retailing in 2018 comes down to obsessing about your customer’s experience. It’s a tall order: Digital and physical touchpoints now must work together flawlessly – yet also do what each touchpoint does best on its own. And organizations must remove silo shackles to unify disparate data to develop deep customer insights.

    Forrester’s 2018 retail predictions call out that as retailers work towards these goals, they must navigate growing their business in an ever-changing world where...
    https://www.forbes.com/sites/forrester/2017/11/16/why-2018-is-all-about-customer-experience-for-the-retail-industry/#573f8de67783/
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  2. Artificial intelligence (AI) has already become an everyday part of our lives. We use it at work and at home - often without even realizing it. AI is evolving now in all industries especially in the banking sector, 2018 will showcase many projects and applications that are adopting AI to increase their performance and security in all terms.
    http://www.bobsguide.com/guide/news/2018/Mar/19/using-ai-to-enhance-customer-experience/
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  3. In today’s competitive e-commerce environment, personalizing the customer experience is the number one priority: To drive conversion, the right message needs to be sent to the right person at the right time. How do you accomplish that? Increasingly, AI is emerging as the best way to offer a truly one-to-one experience to customers. A Gartner study notes that “by 2020, 85% of customer interactions will be managed without a human” and that by 2040, “more than 40% of all data analytics projects will relate to an aspect of customer experience.” So what does that look like?
    https://www.forbes.com/sites/forbesagencycouncil/2018/07/16/use-ai-to-create-a-more-personalized-profitable-customer-experience/#7ce01f55f3a7/
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  4. Welcome to 2019… where digital technologies will start evolving faster than we can adapt. Where customers’ experience expectations will rise above everything else. Where predictive analytics will boost customer experience for good, and where data ethics will become the new competitive advantage. Bottom line: our customers expect now more than ever that the digital customer experiences (CX) we provide are not only seamless and integrated but also more advanced and secure.
    https://mopinion.com/top-digital-customer-experience-cx-trends-for-2019/
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  5. We have all heard or read a lot about artificial intelligence. It is a controversial topic with many fearing that it may result in unemployment for humans. However, the big question is, what is artificial intelligence and what does it entail? Artificial intelligence (AI) is in other terms known as machine intelligence. This intelligence is demonstrated by machines which are programmed to perform tasks that humans would otherwise undertake.
    https://customerthink.com/the-role-artificial-intelligence-in-improving-customer-experience/
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  6. A trio of industry experts who will be adding their voices to the upcoming CAFA Fashion & Retail Forum explain how artificial intelligence, the mobile marketplace and experiential shopping are poised to revolutionize the way we consume
    https://www.theglobeandmail.com/life/fashion-and-beauty/fashion/the-next-frontier-in-consumerexperience/article38355832/
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  7. Now more than ever, marketers have a variety of new and traditional options in their toolboxes. In addition to tried-and-true foundational practices, our group of professionals shared their insights into new ways of approaching demand generation, improving content marketing, and leveraging early forms of machine learning and AI — all within the framework of a vastly expanded appreciation of the central role of the customer experience.
    http://customerthink.com/the-evolving-scope-of-b2b-marketing-its-all-about-customer-experience/
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  8. We live in an age of constant distraction. Screens light up with countless notifications in a day, and with consumers bombarded by a steady stream of information -- from their sister, their boss, their doctor’s office -- brands today are fighting even harder to cut through the noise. Now more than ever, companies should make the most of customer interactions, capitalizing on valuable moments when consumers make time to reach out to them.

    At the same time, the customer service industry is undergoing massive change. Companies are moving to omnichannel customer care, and emerging technologies like artificial intelligence (AI) are reshaping the industry through intelligent robots and assistants. Especially now that contact centers can leverage AI to field customer inbounds, taking some of the pressure off of bandwidth concerns, the focus on familiar metrics like average handle time (AHT), first-call resolution (FCR) and adherence to schedule is shifting.
    https://www.forbes.com/sites/forbescommunicationscouncil/2019/03/12/take-your-customer-experience-beyond-traditional-metrics/
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  9. Nationwide, which banks 15 million customers in the UK, has enlisted AI from analytics firm SAS to analyze customer interactions more effectively and resolve issues earlier, per Finextra.

    Nationwide's deployment of AI comes amid growing digital transformation efforts from incumbent lenders as they look to reduce operational costs and improve how they service customers. In September 2018, for example, Nationwide announced its intention to step up its digital transformation, saying it would invest a further £1.3 billion ($1.7 billion) on technology, taking its total tech investment over the next five years to £4.1 billion ($5.4 billion).

    Here's how Nationwide deployed AI to identify customer pain points and strategize to resolve issues:
    https://www.businessinsider.com/nationwide-sas-ai-customer-experience-2019-3?international=true&r=US&IR=T/
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  10. Mopinion released a new machine learning technology within its digital feedback analytics platform: automatic feedback categorisation. This technology employs machine learning techniques that make the analysis of qualitative feedback data – by way of labeling and categorisation – a much more fluid and systematic process.
    https://mopinion.com/machine-learning-technology-for-advanced-feedback-categorisation/
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