When technology advances quickly, design often gets ignored in the process. A well designed user interface or user experience are frequently treated as afterthoughts. But in truth, technology is nothing, or very little, without design. People need to understand and want to use technology for it to be widely adopted and for that a well-designed user interface is paramount. Conversational software has been rapidly becoming more popular, funded by big corporations wanting to invest in artificial intelligence and powered by new techniques in machine learning. However a common set of guidelines for designing conversational user interfaces was still non-existent.
https://medium.com/rasa-blog/13-rules-for-conversational-user-interface-design-edb1d56f23d5/
As enterprise end-users and customers alike have embraced the digital life, the need for well-designed user experience (UX) has intensified. With so many applications, platforms and services that continue to change day by day, or even hour by hour, UX has become a major force in its own right.
Now, the world is moving to artificial intelligence (AI), which promises to greatly enhance UX, working behind the scenes to deliver automatic and intuitive responses to user requests. The benefits of AI go even deeper. A recent survey of design professionals by Adobe finds more than half, 62%, expressed interest in AI and machine learning and what they add to the creative process. AI and machine learning will have a "democratizing effect on creativity" in applications and products. AI also opens up possibilities such as 3D and immersive design.
https://www.zdnet.com/article/ai-helps-user-experience-ux-helps-ai/
We’re very happy to announce that the release of our newest machine learning (ML) technology – automatic feedback categorisation – was a successful one! As a next step, we want to make sure our users know how to get the most out of this new feature. That is why we’ve created this little guide to Mopinion’s New Machine Learning Technology.
https://mopinion.com/best-practices-mopinions-machine-learning-technology/
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/
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/
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/
This article accepts a simple, obvious, and often forgotten premise: software continues to become more complex. Back in the mainframe days, manual code review was possible. That was a combination both simpler code being developed and slower change cycles. Advanced in hardware, software and user experience (UX) have massively increased both the volume and complexity of code. The web, smartphones, and other technology have both meant far more people using technology and causes a service oriented change to work to provide software updates faster.
https://www.forbes.com/sites/davidteich/2018/06/28/machine-learning-and-software-lifecycle-tools-each-must-help-the-other/#2cb1ad571189/
t was not long ago when tablets were the craze, and technology was taken less seriously by businesses. Back then it was a perfect mix between people, technology, and process. Today, we are in an era when technology is improving, and people and process are gradually replaced by it.
Although that may not be entirely true. It is actually a paradox since more often than not we introspect how technology has made our lives easier both from an individual and industrial point of view. One of those aspects which has helped build economies and various sectorial businesses is Machine Learning (ML). From automation to analysis of data, the technology has the power to learn without having to be explicitly programmed.
http://www.bgr.in/features/machine-learning-is-changing-the-face-of-businesses-today/
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/
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/
