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/
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/
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/
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/
These days, in any discussion about enterprise computing, the action is at the front end -- delivering superior user or customer experiences and user interfaces. Artificial intelligence-based technologies are providing developers and IT teams the power they need to deliver, while reducing the repetitive, manual tasks that have characterized UX, CX and UI.
http://zdnet.com/article/the-next-generation-of-user-experience-is-artificially-intelligent/
For most people, a call to customer service is about as exciting as a trip to the dentist. No one enjoys being put on hold, waiting to repeat the same information to a second or third agent, getting dropped and starting again, all just to access your own information or account. It’s an experience that can feel alienating and frustrating – not the way most companies want their customers to feel.
http://customerthink.com/seize-the-opportunity-to-differentiate-with-ai-powered-digital-experiences/
As with LinkedIn, social networks like Facebook, Twitter, and Pinterest use AI and machine learning technologies to identify and delete offensive material.
LinkedIn, the Microsoft-owned site having over 660 million subscribers, recently outlined its approach to handling accounts that include inappropriate content, spanning from profanity to illicit services ads.
http://it.toolbox.com/blogs/shrutiumathe/linkedin-uses-ai-to-remove-inappropriate-user-profiles-and-provide-a-better-user-experience-011720/
The commercial use of 5G is accelerating around the world. The Internet of Everything is drastically increasing the number of connections, and new applications such as cloud-based VR and AR place higher requirements on end-to-end networks.
http://mobileworldlive.com/latest-stories/ai-powered-services-for-5g-evolution-agile-intelligent-smart/
Over the last couple of years, artificial intelligence (AI) has been incredibly popular across multiple digital mediums. Whether it’s conversational chatbots, data analytics or everything in between- given its flexibility and convenience, this technology is now used for a range of purposes.
But how does it affect mobile app user experience? Can you really alter the experience of end-users with AI? Also, how can a developer implement artificial intelligence to enhance the user experience?
http://clickz.com/using-artificial-intelligence-to-design-better-mobile-app-user-experience/259694/
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