“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/
Recently, a lot of trending customer journey analysis around user experience, marketing and technology, is attempting to take humans and their cost out of consideration, replacing them with technology and automation. But what are we pursuing with such an effort?
Apart from optimisation and efficiency, are we pursuing the anticipation of emotions or feelings in a given circumstance and expecting technology and automation to take care of it? Interestingly, most successful brand stories are about human beings who have gone out of their way to help customers.
One reason for that is “help” between brands and customers is based on empathy rather than just solutions. So, it is paradoxical to find a lot of content surrounding AI focused on making contact “more human” and more “naturally conversational”. With that said, are we expecting AI to drive customer-brand relationships rather than solutions?
https://www.marketing-interactive.com/relationships-or-solutions-how-collaboration-can-succeed-in-an-ai-world/
Enterprise mobility has, for long, promised to be a channel that would allow employees to work from wherever they want and be productive. This approach would not only improve the accuracy and efficiency of workers but would also allow them to be operational without any geographical constraints. Further, the addition of artificial intelligence (AI) into enterprise mobility will deliver the high-end results to the businesses.
AI will bring a change in the operational workflow of an organization in multiple ways and departments. The impact will be noticed across areas like device management, user experience, security, and applications. However, privacy concerns will also continue to rise in the wake of these new technologies, and advanced security measures need to be employed to prevent the data from misuse.
https://www.cioreview.com/news/how-ai-and-machine-learning-is-impacting-enterprise-mobility-nid-27329-cid-142.html/
For many retailers, improving the customer experience involves simplifying e-commerce to rely on fewer clicks and supplementing text search for the ever-potent, AI-powered visual search feature.
Whether it be for navigating outfit inspiration, as seen on platforms such as Pinterest and ShopStyle or creating hyper-personalized recommendations, witnessed in Spotify and Netflix, the bottom line is through these technologies, retailers further empower their shoppers and guide purchases.
In a similar mission, the winner of Digiday’s Best Retail Technology award, Syte, aims to provide a cutting-edge visual AI search, which offers the necessary immersive experience and improved user journey shoppers crave — all beginning with the shopper’s chosen image.
https://wwd.com/business-news/technology/visual-search-1202880164/v/
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/
From websites to homes and cars, here's how AI could help patch the holes and bring UX closer to maximum potential.
https://www.entrepreneur.com/article/320675/
Whether we are ready of not, the age of Machines is already underway. The rise of Artificial intelligence (AI) is empowering machines to work and react the way humans do. As disruptive technologies infiltrate our lives, affecting everything from how we live, work and entertain ourselves, more and more researchers say that this is just the beginning – we haven’t seen anything yet. According to a recent report by McKinsey, for example, advances in robotics, AI, and machine learning herald a new era of breakthrough innovation and opportunity.
Artificial Intelligence is the most talked about technology of our time, and for good reason. AI facilitates machine intelligence, increases efficiency, simplifies routine tasks and makes it easier for humans to focus on the intellectual aspects of a given process.
http://www.cxotoday.com/story/humanizing-user-experience-through-ai/
CIOs are often inundated with vendor promises of a user experience so superb, they won’t need to fret about employee training. But CIOs should be skeptical when they hear promises like these, especially when it comes to AI and automation technologies.
https://searchcio.techtarget.com/blog/TotalCIO/AI-and-automation-will-need-more-than-a-great-user-experience/
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/
AI systems and devices will soon recognize, interpret, process, and simulate human emotions. A combination of facial analysis, voice pattern analysis, and deep learning can already decode human emotions for market research and political polling purposes. With companies like Affectiva, BeyondVerbal and Sensay providing plug-and-play sentiment analysis software, the affective computing market is estimated to grow to $41 billion by 2022, as firms like Amazon, Google, Facebook, and Apple race to decode their users’ emotions.
https://hbr.org/2018/07/3-ways-ai-is-getting-more-emotional/
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