Tags: machine-learning*

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  1. 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/
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  2. 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/
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  3. 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/
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  4. 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/
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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. 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/
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