AI is in desperate need of designers–in part, because machine learning products often originate in the world of research, where design principles are rarely applied. Closing the gap between researchers and designers is the goal of Google’s People + AI Research (PAIR) initiative, which launched earlier this summer. PAIR aims to establish design principles for AI systems and build tools for designers and developers as AI moves quickly from the research lab into the products we use every day. At PAIR’s first conference in Cambridge, Massachusetts, this week, researchers from Google, MIT, Carnegie Mellon, and the University of Illinois presented their ideas on machine learning systems that have human needs at their core. Based on their comments, here are three problems AI is currently facing–and how the right design could help.
https://www.fastcodesign.com/90144510/3-problems-with-ai-only-designers-can-solve/
Understanding customers, discovering and managing their behaviours have been hot topics in marketing for a long time. However, customer experience is still a new notion to many.
Today, different companies sell almost identical products at the same price level. This state of play creates a question. If the price and quality are almost the same, on which criterias do the consumers make their decisions?
https://www.cxnetwork.com/cx-experience/articles/4-steps-for-creating-unique-customer-experiences/
App store optimization (ASO) has been somewhat overlooked of late with the growth of machine learning and AI, Google’s mobile-first index progression, and other noticeable industry changes commanding every marketer’s attention.
Whether you are new to app store optimization, or keen to refine your approach to ASO, this post will shed some practical insights which are proven to maximize app store success.
https://www.searchenginejournal.com/app-store-optimization-how-to-guide/241967/
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 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/
Trends and developments are continuously sprouting up within Customer Experience (CX). In fact there are so many new trends that it can be hard to keep track. Previously we were just satisfied with having a customer-oriented approach, but nowadays we want to take this one step further…
https://mopinion.com/cx-top-5-youtube-videos/
