AI AND UX IBD

Sinopse

As venture capital and industrial resources are increasingly poured into rapid advances in artificial intelligence, the actual usage and success of AI depends on a satisfactory experience for the user. UX will play a significant role in the adoption of AI technologies across markets, andáAI and UXáexplores just what these demands will entail.Great effort has been put forth to continuously make AI 'smarter.' But, will smarter always equal more successful AI? It is not just about getting a product to market, but about getting the product into a userâÇÖs hands in a form that will be embraced. This demands examining the product from the perspective of the user. Authors Gavin Lew and Robert Schumacher have writtenáAI and UXáto examine just how product managers and designers can best strike this balance. From exploring the history of the parallel journeys of AI and UX, to investigating past product examples and failures, to practical expert knowledge on how to best execute a positive user experience,áAI and UXáexamines all angles of how AI can best be developed within a UX framework.The new world of AI necessitates an equally new UX lens through which to see all potential products. While massive inroads have created strides in AI technology, it must be accessible and easy to use for the consumer. Innovators in the field need to shift thinking from 'it works' to 'it worksáwell,' which makes all the difference in increasing adoption. Let your users enhance your data, and let the UX of your product do the selling for you.áAI and UXáis your roadmap for the future.What YouâÇÖll LearnUnderstand how the usage and success of AI depends on a great user experienceáDiscover how technology can advance beyond 'it works' to 'it works well,' which subsequently increases its adoptionDetermine what ways can we let the users enhance the data to make AI better attuned to their needsRealize how you can make humans smarter in their interactions with AIWho This Book Is ForThose interested in AI and future implications, these can be futurists, technophiles, or product designers and product managers working on AI products