One of the key drivers of the AI (Artificial Intelligence) revolution is open source software. With languages like Python and platforms such as TensorFlow, anybody can create sophisticated models.
Yet this does not mean the applications will be useful. They may wind up doing more harm than good, as we’ve seen with cases involving bias.
But there is something else that often gets overlooked: The user experience. After all, despite the availability of powerful tools and access to cloud-based systems, the fact remains that it is usually data scientists that create the applications, who may not be adept at developing intuitive interfaces. But more and more, it’s non-technical people that are using the technology to achieve tangible business objectives.
https://www.forbes.com/sites/tomtaulli/2019/04/27/artificial-intelligence-ai-what-about-the-user-experience/#75f7d10e16fe/
If you’re a business technology user, you may have noticed a recent trend in Software-as-a-Service (SaaS) products: Many of them are becoming integrated platforms to interact with other business needs.
For as long as there’s been business technology, buyers have been forced to take a “best of breed” approach, selecting a number of specialized products to address different needs. SaaS products have been no different. They have traditionally offered specific solutions for specific use cases. But today, you’re seeing these types of products expand their value by offering integrations, cooperative development, and new areas of application. The idea is to help the customer by consolidating multiple buying decisions and oversight of these business tools down to one choice: the SaaS platform.
https://www.forbes.com/sites/forbesbusinessdevelopmentcouncil/2019/03/29/is-2019-the-year-to-create-an-saas-platform/
For a few years now, there have been rumblings that virtual assistants might actually start talking to one other. And in a pretty hilarious feat, people have figured out how to literally get Alexa, Siri and Google Assistant to chatter together in an endless loop. While this was entertaining, it’s the real-life partnership that Amazon and Microsoft have formed to have their virtual assistants truly talk to each other that is worth paying attention to.
Both companies are enabling Microsoft’s business and productivity-focused Cortana to engage with Amazon's consumer- and ecommerce-focused Alexa. A command of “Cortana, open Alexa” will enable Microsoft users to do things such as control smart devices in their homes, or access any of the other third-party skills available on Alexa such as making a payment on a credit card, ordering a pizza or even turning their Anova Precision Cooker up a few degrees.
https://www.entrepreneur.com/article/330337/
Artificial intelligence is the latest buzzword across all industries. There is a lot of talk going around AI, Machine Learning and in general using algorithms to shape the future of Design, and along with it the role of the designer.
But what is the real impact?
https://itmunch.com/human-ai-interaction-and-experience-design/
Forbes’s 2018 marketing trends overlapped with tech: virtual reality, artificial intelligence (AI) and voice search topped the list. In 2019, marketing may be about bringing these trends together, redefining the traditional chief marketing officer (CMO) job description.
https://www.forbes.com/sites/forbescommunicationscouncil/2019/03/07/five-trends-redefining-the-role-of-chief-marketing-officer-in-2019/
Artificial Intelligence (AI) is changing the landscape of businesses and operations. A game changer, it is facilitating better customer experience and engagement that is leading to better business. Humanizing these interactions and taking it to the next level are Conversational applications.
Heralding a new era in customer and enterprise user experience, conversational applications enable engagement at a human level. It factors humor, emotion and empathy that helps in building a deeper connection with the customer. Unconstrained by human limitations, it can make giant leaps to connect the dots in a matter of seconds to deliver a human-like experience. This unprecedented level of contextually-relevant conversation, continuously enhanced by constant acquisition and utility of user data, gives the user a unique width and depth of a highly personalized experience.
http://www.asianage.com/technology/in-other-news/180219/using-conversational-applications-to-enrich-user-experience.html/
Welcome to 2019… where digital technologies will start evolving faster than we can adapt. Where customers’ experience expectations will rise above everything else. Where predictive analytics will boost customer experience for good, and where data ethics will become the new competitive advantage. Bottom line: our customers expect now more than ever that the digital customer experiences (CX) we provide are not only seamless and integrated but also more advanced and secure.
https://mopinion.com/top-digital-customer-experience-cx-trends-for-2019/
Much has been written about the rise of machine learning and artificial intelligence and how it will impact the auto lending industry. While there has been a significant amount of hype, the promise of artificial intelligence is simply game changing.
The most obvious application is that thinking machines will be able to assess risk and provide an accurate estimate of whether certain borrowers will repay their loans. The ramifications of this change will be massive. If auto lenders are better able to understand whether a particular borrower is not able to pay back the entirety of his or her auto loan, lenders can mitigate their risk while offering better pricing and more approvals to new loan applicants.
https://www.autofinancenews.net/the-value-of-user-experience-when-managing-risk/
Are you continually frustrated trying to unsuccessfully convince executive leadership that your enterprise needs AI? Do you feel defeated because you hear everywhere in the news that AI is one of the most impactful technological breakthroughs of the modern era but can’t get anyone else to pay attention?
The answer to this is to not give up on AI. Revise your approach to be more effective at connecting the dots for your business stakeholders. To optimize your AI pitch, focus on two specific areas -- business value and scalability -- and use the right terminology.
https://tdwi.org/articles/2019/01/03/adv-all-how-to-sell-ai-to-your-enterprise.aspx/
It can be a mighty task to create a conversational user experience (UX). To be sure, there is plenty of hardware and software on the market to support the foundation of conversational UX, such as voice and chat box technology. But, the very definition of conversational UX requires that this experience has to mimic, as closely as possible, an actual human conversation with all its fits and starts and inferences to context.
https://www.cmswire.com/customer-experience/what-tools-do-you-need-to-create-a-great-conversational-ux/
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