tjeerdtraats: ai*

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  1. 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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  2. 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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  3. 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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  4. Ozzie Goldschmied, CTO at Ceridian discusses best practices for improving user experience across all employee and business touchpoints. He shares solutions for managing complex workforce scheduling and pay requirements which are key challenges for just about any organization today. Ozzie leads the design and development of Dayforce HCM, the award-winning single application for human capital management and is focused on best practices, excellence, and innovation in product delivery.
    https://www.hrtechnologist.com/interviews/payrollwage-salary-administration/improving-user-experience-with-hr-technology-in-conversation-with-ozzie-goldschmied-ceridian/
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  5. Perhaps no other technology was as disruptive as artificial intelligence in 2017. ‘Machine learning,’ ‘neural network,’ and ‘data bias’ became commonplace terms in the headlines of mainstream media outlets, signifying the machines had arrived. And with them comes an uncertain future.

    We reached out to several experts to tell us what to expect from AI in 2018.
    https://thenextweb.com/insider/2017/12/28/ai-2018-experts-predict-happens-next/
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