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/
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/
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/
AI can help make customer experiences more personalized, accurate, and effortless. Through audience segmentation, customer communication, and product recommendations, AI is able to enhance marketing strategies at scale in a way humans can’t by themselves.
In a world where customers are looking for smooth experiences and information at their fingertips, AI-enabled tools can make the difference in marketing.
https://www.clickz.com/using-ai-personalize-marketing-strategy/
It’s easy to see a world in which the predictive capabilities of artificial intelligence (AI) will direct who we have with children with, where we live and what our next job should be. All based on the algorithm’s ever-deepening knowledge of our habits, location, family circumstances and personality.
In reality, few of us would want our lives ruled by a self-teaching algorithm. But for the majority of consumer businesses, AI (an umbrella term that includes natural language processing and machine learning) is a potentially transformative force, providing vital insights into what is happening and what is likely to happen. Advances in AI mean that what customers feel about a company or brand will drive significant change in business. These are fast-developing capabilities that no consumer-facing business can ignore if it wishes to maintain its competitive edge.
https://www.techradar.com/news/artificial-intelligence-gives-businesses-real-insights-into-their-customers/
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/
The ability to collect massive amounts of data represented a huge leap forward in customer service and communication when customer relationship management first hit the market as a marketing, sales and data management tool.
However, CRMs weren't a holy grail. Data management is one thing. Using data to understand what customers really need (not just what you think they do) and how to engage them is another thing entirely.
CRMs were not built to be nimble. Times change, customer expectations change, and the technology needs to change with it.
Currently, predictive analytics and artificial intelligence promise the potential to revolutionize CRMs in truly meaningful ways, but rather than be hyperbolic about that potential, it's important to be pragmatic -- and that's not the same as being negative.
https://www.crmbuyer.com/story/The-Trouble-With-CRM-Data-85616.html/
Predicting the future is tough, so we decided to talk those who are shaping it. Dave Fish, founder of CuriosityCX and Michigan State University visiting lecturer partnered with Brian Keehner of the Michigan State master of science in marketing research program to interview more than a dozen of the sharpest technology minds from global enterprise feedback management firms to get their take on the future.
What are some of the big strategic bets the major players are making in the CX space? There was quite a bit of agreement, but also some noticeable divergence on the vision for the future. That spanned from data collection and ingestion, all the way to how to help clients take action. Here are the six key discussion points from our conversation.
http://customerthink.com/6-big-trends-driving-the-future-of-cx-technology/
Customer-centric retailing and selling are the new business models. The new model goes beyond the traditional horizon of omnichannel, breaking down the lofty walls between internal intent silos and the potent customer experience platforms.
The future of customer experience is now, and Unified Commerce would play the biggest role in assigning performance-related metrics to the use of emerging technologies — AR, VR, AI, and video for commerce. BRP’s 2018 Customer Experience/Unified Commerce Survey of top North American retailers offers insights into retailers’ current priorities and initiatives as digital and physical retail environments converge to facilitate a seamless experience across channels.
https://martechseries.com/analytics/behavioral-marketing/unified-commerce-customer-experience-future/
Artificial Intelligence is everywhere. From Google’s Arts & Culture App—which uses facial recognition technology to match selfies to thousands of artworks—to Pizza Hut’s plans for driverless pizza delivery.
The application of Artificial Intelligence to improve the customer experience is on the rise. In fact, this year the Consumer Electronic Show featured its first ever Artificial Intelligence Marketplace to showcase the latest innovations designed to perform human tasks. Products ranged from big data analytics to speech recognition to advanced decision-making to predictive technology. Many of these solutions are already being leveraged by great companies to add a magic touch to their services.
Are you taking advantage? If not, here are three ways you can apply Artificial Intelligence to improve your customer experience.
https://customerthink.com/3-ways-to-apply-artificial-intelligence-to-improve-your-customer-experience/
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