eringilliam: machine-learning*

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  1. Unless you’ve been living under a rock, you’ve probably noticed that the term ‘artificial intelligence’ is being thrown around just about everywhere. It has become a major corporate buzzword and hype, especially among digital marketers. Meanwhile half of us still don’t really know what it means or better yet, what it can do for our business. That’s why we’re here to tell you specifically what AI can do for you and how it can make your customer feedback more actionable.
    https://mopinion.com/customer-feedback-artificial-intelligence-ai/
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  2. We’re very happy to announce that the release of our newest machine learning (ML) technology – automatic feedback categorisation – was a successful one! As a next step, we want to make sure our users know how to get the most out of this new feature. That is why we’ve created this little guide to Mopinion’s New Machine Learning Technology.
    https://mopinion.com/best-practices-mopinions-machine-learning-technology/
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  3. Mopinion has just 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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  4. Understanding consumer habits and how customers think and feel about your businesses can be key to success, but conducting paper or online surveys doesn’t always yield the best results, (and how often do people actually take the time to fill those out anyway); a Toronto-based company is attempting to solve this problem by updating the world of customer feedback with its interactive chatbot.

    Chatter Research says it can increase response rates by 800 per cent and gather more data about the customer experience using its artificial intelligence-powered chatbot. It’s being recognized by the Information Technology Association of Canada as the Spark winner at the 2018 Ingenious Awards.
    https://www.itworldcanada.com/article/chatter-research-uses-ai-to-make-collecting-feedback-feel-less-weird-ingenious-winner/411314/
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  5. Cutting-edge companies are turning to artificial intelligence and machine learning to transform how they interact with customers, strengthening those relationships, distinguishing themselves from competitors, and increasing revenues.

    At the center of this transformation are technologies such as chatbots, recommendation engines, personalized communications, intelligent ad targeting, and image recognition. Gartner analyst John-David Lovelock predicts that AI-derived business value will more than triple to $3.9 trillion by 2022 — with improvements to the customer experience key to this growth.
    https://www.cio.com/article/3315656/artificial-intelligence/5-ways-ai-is-transforming-customer-experience.html/
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  6. To improve customer experiences, brands are increasingly turning to data to give them insights and direction. Some of the benefits include helping brands personalize the customer experience. This creates a more enjoyable and memorable moment for customers. In return, they can become repeat customers. Plus, they may tell others about their (hopefully) great experience. Also, a company can pinpoint what works and what needs improvement with the current CX strategy.
    https://www.forbes.com/sites/steveolenski/2018/07/26/using-data-to-transform-the-experience/
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Mopinion: The Leading User Feedback Tool

Mopinion is a proud sponsor of Website Feedback News. The voice of the online customer is taking on an increasingly important role when it comes to improving websites and apps. So web analysts and digital marketeers are making more and more use of User Feedback Tools in order to collect feedback from the user. Mopinion takes it one step further and offers a solution to analyse and visualise user feedback results from your websites and apps wherever you need them. The real challenge for companies is not about capturing feedback, it is about how to make sense of the data.