Tags: artificial-intelligence*

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  1. 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/
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  2. 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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  3. 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/
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  4. Today, web-development focuses on enhancing user experience. From small, medium to large enterprises, everyone is keen to leverage the Artificial Intelligence’s power for offering better personalization and boosting his or her web-experience.

    Let’s have a look at how Artificial Intelligence is transforming the web-development to enhance user experience:
    http://customerthink.com/how-ai-can-enhance-the-user-experience-of-web-applications/
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  5. Your smartphone is about to get smarter, thanks to artificial intelligence (AI) and machine learning (ML). And that has huge implications for enterprise support for mobility.

    Enterprise mobility has long promised to allow workers to be productive wherever they are, to speed up business processes and to improve accuracy and efficiency by putting the most up-to-date data in the hands of workers in the field, says Kevin Burden, vice president of mobility research and data strategy at 451 Research. The addition of AI will help deliver on those promises, he says.
    https://www.computerworld.com/article/3286264/mobile-wireless/how-ai-will-change-enterprise-mobility.html/
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  6. In this interview, CEO and co-founder of Talla Rob May discusses how his company is using big data and artificial intelligence to help businesses improve the user experience for their consumers
    https://www.psfk.com/2018/05/rob-may-talla-nterview.html/
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  7. While a data-based world allows us to build services and products, it also requires complicated processes of acquisition that can be tedious if not overwhelming. This is why businesses are increasingly implementing artificial intelligence to simplify their data-based services. Here’s how 5 brands are turning to chatbots and voice programs to allow users to easily input information and receive personalized instructions for complex or unfamiliar processes, resulting in a customer onboarding journey with minimal friction.
    https://www.psfk.com/2018/05/trend-brands-leverage-ai-streamline-user-experience.html/
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  8. 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/
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  9. Imagine that in today’s world we only had two types of cars, Ford and Chevy. All the Ford cars only work on Ford roads, and all the Chevy cars only work on Chevy roads. If you want to open a business, you have to build one for each type of road. That’s pretty much what our current smartphone app ecosystem is like right now, and it really makes no sense. Hopefully, things won’t stay like this for much longer.
    http://pocketnow.com/2018/02/20/design-os-for-future/
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  10. 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/
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