Artificial Intelligence (AI) systems are finding their way into customer service, scientific development and more. Many marketers have been waiting for the option to use AI systems to solve problems in their niche. Many professional marketers are wondering when these systems will be ready.
Evaluating AI for a complex need in marketing ultimately comes down to examining the challenges that marketers face today. Not every average marketing agency has the budget aside that they can use to develop AI systems or use deep learning algorithms. The problem with most AI systems is that they commonly take a lot of computing power and development before they can get off the ground and produce reliable results.
https://www.business2community.com/marketing/is-marketing-with-artificial-intelligence-ai-now-a-user-friendly-experience-02137966/
“It really is the end user experience,” said Eric Klein, director of mobile/wireless at VDC Research. “You have to understand how the individual worker uses those tools. Engage with your user community regularly.”
Even with the latest cutting edge technologies available to enterprises in 2018, the old adage about the importance of the user experience still rings true. Attendees to the Enterprise Mobility Transformation Exchange saw this theme on full display within many sessions.
https://www.enterprisemobilityexchange.com/eme-managed-mobility/news/end-user-experience-exchange/
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/
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/
If you’ve been paying attention to the application of artificial intelligence in retail, you may feel like the buzz around the topic has gone from zero to “arrived” in less than a year. In retail time, even at the speed of the modern consumer, that is incredibly fast.
Some of the hype has come from activity around specific use-cases for the application of AI in retail. While companies like Baidu profess over 100 AI capabilities, in retail it appears that use-cases are centering on four main areas:
https://www.forbes.com/sites/nikkibaird/2018/08/13/retail-has-three-big-ai-dilemmas/
Much has been written about the rise of machine learning and artificial intelligence and how it will impact the auto lending industry. While there has been a significant amount of hype, the promise of artificial intelligence is simply game changing.
The most obvious application is that thinking machines will be able to assess risk and provide an accurate estimate of whether certain borrowers will repay their loans. The ramifications of this change will be massive. If auto lenders are better able to understand whether a particular borrower is not able to pay back the entirety of his or her auto loan, lenders can mitigate their risk while offering better pricing and more approvals to new loan applicants.
https://www.autofinancenews.net/the-value-of-user-experience-when-managing-risk/
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/
Not long ago, a company could gain the loyalty of its clientele based on product quality and little else. But with time, the difference between what a company offers and what its competitors provide has become negligible. Today, companies are increasingly seeking for alternative ways to win their customers. In ecommerce business, one such way is by providing impeccable user experience (UX). The article describes the ways artificial intelligence can enhance user experience.
https://www.clickz.com/using-ai-to-improve-user-experience/216056/
Artificial Intelligence (AI) is changing the landscape of businesses and operations. A game changer, it is facilitating better customer experience and engagement that is leading to better business. Humanizing these interactions and taking it to the next level are Conversational applications.
Heralding a new era in customer and enterprise user experience, conversational applications enable engagement at a human level. It factors humor, emotion and empathy that helps in building a deeper connection with the customer. Unconstrained by human limitations, it can make giant leaps to connect the dots in a matter of seconds to deliver a human-like experience. This unprecedented level of contextually-relevant conversation, continuously enhanced by constant acquisition and utility of user data, gives the user a unique width and depth of a highly personalized experience.
http://www.asianage.com/technology/in-other-news/180219/using-conversational-applications-to-enrich-user-experience.html/
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