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/
The advent of artificial intelligence (AI) has enabled machines to learn how to identify patterns and relationships between data to create personalized and dynamic experiences. This is evident to a large extent in social media apps, where a search for some information leads to content about products/services of a similar nature or in a related industry being served on the user’s page.
https://www.entrepreneur.com/article/319274/
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/
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/
Artificial intelligence (AI) is gradually shifting from the science fiction arena toward the domain of digital marketing. IT companies are not the only businesses interested in AI, but along with API technology, it attracts the attention of businesses from a variety of industries.
The experts in data processing and analysis use a whole set of terms to define AI and its related technologies such as machine learning, deep learning and cognitive computation. All of these share the same strategic task; to evolve from rule-based, programmed systems to flexible mechanisms capable of decision making and self-adapting to fast-paced business realities.
https://channels.theinnovationenterprise.com/articles/how-ai-and-api-are-revolutionizing-marketing-and-the-customer-experience/
“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/
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/
