Tags: artificial-intelligence*

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  1. 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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  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. As enterprises in North America increasingly migrate their processes and applications to the cloud, contact center service providers (CCSPs) will have to deliver next-level customer experience (CX) and contact center performance and productivity to gain a competitive edge. Using a broadened set of analytics tools that incorporate novel technologies such as artificial intelligence (AI), machine learning (ML), augmented reality (AR), and Big Data, companies are adding intelligence to existing applications such as interactive voice response (IVR). They are also integrating multiple contact channels such as mobile, chat, messaging, and social media to offer a richer omnichannel experience with a focus on simplicity and ease of use.
    http://www.koreaittimes.com/news/articleView.html?idxno=88741/
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  4. By using event detection to listen to patterns in data, and then applying Artificial Intelligence, your business can now sense these moments of needs as they are happening
    Customer experience or ‘CX’ as it is popularly referred to is one of the most important verticals that businesses need to address in order to thrive. And tanks to artificial intelligence and data, CX can be achieved via the use of these technologies in an improved and efficient manner. From artificial intelligence to IoT, Don Schuerman, CTO and VP Product Marketing, Pegasystems, states 7 ways in which technology will aid customer engagement.
    https://www.dqindia.com/artificial-intelligence-technology-improved-customer-engagement-cx-2019/
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  5. 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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  6. 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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  7. The latest trend in today’s data-centric world is machine learning and artificial intelligence, and AI is looking like the go-to technology and buzz for 2019. In fact, Gartner recently released a Smarter With Gartner report that identifies AI as one of their top 10 strategic technology trends for 2019. And a McKinsey Global Institute economic model estimates that about 70 percent of companies will adopt at least one type of AI by 2030.

    Given the projection of AI, it’s worth noting that the possibilities and potential for AI-driven applications to enhance Customer Experience (CX) seem endless — from chatbots and personal assistants to text & sentiment analytics that can turn customer feedback into a roadmap for CX improvement. If, however, you’re thinking about jumping on board as soon as possible, think again.
    http://customerthink.com/five-prerequisites-for-adopting-ai-to-improve-cx/
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  8. Technology has been the cornerstone of economic growth around the world for hundreds of years. It has underpinned the last three industrial revolutions and is now the driving factor in today’s Fourth Industrial Revolution — marked by emerging technologies in a variety of fields.

    Unsurprisingly, artificial intelligence is one of the key technologies driving this new revolution. As described in the 1950s by the father of modern computer science, Alan Turing, “What we want is a machine that can learn from experience.” His paper, “Computing Machinery and Intelligence,” is the earliest description of neural networks and how computer intelligence should be measured. While the concept of AI isn’t new, we’re only on the cusp of seeing AI drive real business value in the enterprise.
    https://techcrunch.com/2018/12/13/powering-customer-journeys-in-the-age-of-ai/
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  9. Mopinion is dedicated to providing its customers with the best possible feedback analytics software on the market. In order to maintain this status, our team strives to make constant and valuable improvements to our platform. We do this using the feedback provided directly by our customers. That being said, we’re happy to announce the release of the seven exciting new updates, including new machine learning technology, new feedback form metrics, and much more.
    https://mopinion.com/november-product-update/
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  10. When it comes to the customer experience, consumer comfort levels with artificial intelligence can vary greatly depending on how the technology is applied. As we shared in a recent ebook, consumers often think AI is ‘creepy’ when it utilizes information they did not directly provide. In other circumstances, however, AI is seen as useful, particularly when it makes recommendations based on past interactions.

    In a recent survey conducted by Interactions, we looked at how AI impacts the customer experience in order to better understand how companies can best apply this technology to their benefit. One takeaway from the research that was pretty clear: consumers prefer to interact with conversational AI. In fact, 79% of respondents said that one of the most useful capabilities of AI in providing a positive customer experience is the ability to use conversational words or phrases, as if they were talking to a human, rather than speaking “robot talk”. Additionally, 70% said they prefer interacting with a virtual assistant that has a human-like voice or personality as opposed to a computer-generated voice.
    http://customerthink.com/3-revenue-driving-benefits-of-conversational-ai/
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Mopinion is a proud sponsor of voice of customer 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 Voice of customer Tools in order to collect Voice of customer. Mopinion takes it one step further and offers a solution to analyse and visualise Voice of customer 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.