No matter what services your company provides or what communication platforms you use, customer experience (CX) needs to be at the core of everything you do. With all the tools that are available to help brands engage with their customers -- from social media to artificial intelligence-based resources like product recommendations and chatbots -- there are more opportunities than ever to create powerful customer experiences that build loyalty and drive sales.
But these tools aren’t going to use themselves, nor will a CX-focused culture spontaneously arise on its own. Brands need to make CX a priority at every level, from the first moment a consumer decides to explore their products online to the final step of the customer journey to the ongoing relationship that may last for years or even decades.
https://www.forbes.com/sites/forbescommunicationscouncil/2018/12/11/why-customer-experience-has-never-been-more-vital/
It can be a mighty task to create a conversational user experience (UX). To be sure, there is plenty of hardware and software on the market to support the foundation of conversational UX, such as voice and chat box technology. But, the very definition of conversational UX requires that this experience has to mimic, as closely as possible, an actual human conversation with all its fits and starts and inferences to context.
https://www.cmswire.com/customer-experience/what-tools-do-you-need-to-create-a-great-conversational-ux/
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/
Over the last couple of years, artificial intelligence (AI) has been incredibly popular across multiple digital mediums. Whether it’s conversational chatbots, data analytics or everything in between- given its flexibility and convenience, this technology is now used for a range of purposes.
But how does it affect mobile app user experience? Can you really alter the experience of end-users with AI? Also, how can a developer implement artificial intelligence to enhance the user experience?
http://clickz.com/using-artificial-intelligence-to-design-better-mobile-app-user-experience/259694/
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/
orget the nightmare of cropping your photos so they look good on Twitter. The platform is now using AI to always show the best parts of your photos.
Here is a great example of what AI and machine learning should really be about: bringing a solution to things that can ruin the user experience, like badly cropped images on Twitter.
https://wersm.com/twitter-is-using-ai-to-show-the-best-parts-of-your-photos/
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/
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/
These days, in any discussion about enterprise computing, the action is at the front end -- delivering superior user or customer experiences and user interfaces. Artificial intelligence-based technologies are providing developers and IT teams the power they need to deliver, while reducing the repetitive, manual tasks that have characterized UX, CX and UI.
http://zdnet.com/article/the-next-generation-of-user-experience-is-artificially-intelligent/
Since digitization, prospective customers of a company or brand have better access to social media and online content and therefore good opinions from existing customers can sway their opinions and in turn affect sales. Today, customer experience has become imperative to scale business growth in a competitive economy. As of now, companies are heavily investing in technologies such as conversational chatbot, use of virtual reality in retail, machine learning to process customer feedback to tailor their strategies.
https://customer-experience-management.cioreview.com/news/the-driving-force-behind-customer-experience-nid-25775-cid-118.html/
