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/
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/
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/
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/
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/
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/
“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/
Rapidly developing smart retail will see three major trends in 2019, including an emphasis on the human side of business, according to CC Liu, secretary general of Asia AIoT Alliance.
Liu stressed that tech development originates from human nature, with all tech designs aimed at providing consumers with greater convenience. Accordingly designers must grasp users' situations well to provide better services. He continued that Amazon unmanned stores, for instance, allow consumers to take things from the store without having to pay at the counter.
The second trend is creating more convenient UI (user interface) and more friendly UX (user experience) to facilitate purchases, Liu said, adding that based on consumer psychology, consuming is quite an impulsive behavior and therefore how to shorten the transaction process will be crucial for further upgrades in smart retail operations.
The third trend is that smart retail will entail AI as the core. Liu said that AI is not almighty but serve as a helper to decision making. AI can be utilized to analyze big data to provide references for managers in handling distribution, pricing, marketing and new product development, while also further predicting market trends and facilitating customized services, according to Liu.
https://www.digitimes.com/news/a20181112PD214.html/
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/
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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