Tags: ai*

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  1. According to Kantar TNS’s latest Connected Life research, brands still have work to do to build trust in digital channels.

    The report reveals that acceptance of chatbots, which are increasingly used in customer service functions, is generally low in Europe: just 28% of British consumers are willing to interact with them online. However, consumers in other markets are even less open to them: less than a quarter (22%) of Australian consumers said they were happy to interact with AI.
    https://uk.kantar.com/tech/digital/2017/british-consumers-not-ready-to-embrace-online-customer-service/
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  2. 2017 was a record year for hacks of personal customer details. These breaches give fraudsters access to our identities including the answers to those annoying security questions. One thing the fraudsters can’t do much with? Voice data. And that is why banks and telcos are increasingly replacing security questions with biometrics.
    https://customerthink.com/2018-5-ways-ai-will-make-you-love-customer-service-in-2018/
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  3. The rise of artificial intelligence has led many people to believe that machines will take over many of the job functions in the marketing industry. However, when it comes to customer experience, the best results will occur when machines and humans work together, writes Dan Gingiss, VP of Marketing at Persado.

    When people think of artificial intelligence (AI) and its technological cousin, machine learning, it often conjures up images of a robot taking over the job of a human. Indeed, “the robots are coming!” is a familiar refrain suggesting the human race will soon be invaded. If we can teach the machines to be as smart as humans, consume mountains of data in seconds, and continuously learn more at warp speed, isn’t the useful life of the human brain quickly coming to an end?

    The answer: Absolutely not.
    https://www.martechadvisor.com/articles/customer-experience-2/beyond-chatbots-how-artificial-intelligence-can-humanize-the-customer-experience/
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  4. For most consumers, buying a car is a long, complex process that involves a significant amount of research into different brands, models, and features, leading to a purchase driven by both emotion and logic.

    Given the time and financial investment that goes into this, consumers want auto dealerships to deliver a highly personalized and pleasant customer experience.
    http://www.dealermarketing.com/how-artificial-intelligence-is-helping-flip-the-script-in-automotive/
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  5. The increasing and widespread adoption of voice technology is already beginning to establish its place as a major factor in travel.

    A truly intelligent voice technology platform would enable fluid, human-like conversations. Artificial intelligence (A.I.) technology would support complex exchanges, detect nuances in speech patterns and tone and remember details from earlier conversations.
    https://www.phocuswire.com/Unique-voice-in-travel/
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  6. A lot of customer experience pundits are talking about AI.
    They say it is ushering in a new age, a Customer Experience 3.0. OK.

    As a notorious heckler, I thought I would have my team research the market, as it stands, in the closing weeks of 2018. My question was: Who cares about promises; I am exhausted by all this thought leadership; I want specific examples; what are AI-driven solutions capable of achieving for customer experience, right now?

    So that is exactly what they did. Then we discussed how these solutions change or do not change the game. We put them into context, trying to understand how big a deal they really are.
    http://customerthink.com/five-ai-driven-customer-experience-solutions-a-survey-of-the-market/
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  7. The brands that have stood the test of time are those that understand the need to transform their brands to continue their relevance with a particular audience. Not content with the status quo, these brands maintain their core attributes while revamping particular aspects of the brand to deepen their meaning and connection, thereby providing an enhanced customer experience.
    https://www.forbes.com/sites/steveolenski/2018/08/14/how-a-brand-transformation-impacts-customer-experience/#7bfa93b95abc/
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  8. Recently, Spotify, a global music content platform, introduced a new feature, Discover Weekly, as an intelligent playlist developer for its users. Based on a listener’s past history, preferences and the trends reflected by analysing data from music aficionados with similar tastes, the company implemented machine learning ‘best fit’ algorithms to provide its users with a delectable list of latest music that kept them glued to their headphones for hours.

    This is one of the many instances where AI has transformed customer experience as we know it.
    https://www.deccanchronicle.com/technology/in-other-news/070518/how-ai-and-data-science-are-reshaping-customer-experience.html/
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  9. In a recent market analysis from UBS, retail was ranked among the top industries predicted to be most impacted by artificial intelligence (AI) in the years to come. In fact, analysts have estimated that global retailer spending on AI will reach $7.3 billion per year by 2022, up from just $2 billion in 2019.

    When it comes to where this money will be spent in the coming years, the majority of it is expected to be used to better the customer experience (CX), including everything from personalization to customer service. It’s an essential area to invest in given one in three (30 percent) consumers would post a negative review online or to social media if they received poor customer support, proving the need for enhanced CX to maintain customer loyalty, and even gain new shoppers. Brands are still just beginning to untangle the many advantages of using AI in retail, so let’s explore how AI can transform the customer experience.
    https://www.mytotalretail.com/article/how-ai-can-transform-the-retail-customer-experience/
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  10. Voice of the Customer (VoC) programs enable business leaders to gather the critical customer feedback they need to address customer concerns and shape the future of their products.

    Traditional VoC programs are one-on-one interview based and can generate volumes of unstructured customer interview data. Making that information actionable is where the rub is, according to Maxie Schmidt-Subramanian, Principal Analyst of Customer Experience at Forrester.
    https://www.cmswire.com/customer-experience/how-ai-is-impacting-the-voice-of-the-customer-landscape/
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