People don’t automatically trust machines, so as personalisation and automation step up a notch marketers need to ensure they do everything they can to create transparent and user-friendly experiences.
If you search the internet for ‘content and AI’, you’ll mostly find people talking and writing about how algorithms are trespassing on the territory of creatives. Algorithms for short and structured copywriting, algorithms as tastemakers, algorithms producing movies and so on.
But what’s more interesting than all the future-gazing is the question of how marketers are setting the context for AI?
https://www.marketingweek.com/ben-davis-user-experience-ai/
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 (AI) is in the news all the time, so you would be forgiven for thinking that there is a strong mainstream understanding of what AI is, and what it does.But the reality is that there is still a widespread misconception about the truth of AI. This is partly due to the dramatic doomsday scenarios we hear in the media, but the deeper problem is that there are still few concrete examples of where AI has actually been mastered and implemented in the real world.This has to change: the truth is, there are so many exciting applications of AI that will improve people’s lives, and customer experience has some of the biggest potential for disruption.
https://minutehack.com/opinions/user-experience-and-the-untapped-potential-of-ai/
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/
Another year has passed and humanity, for better or worse, remains in charge of the planet. Unfortunately for the robots, TNW has it on good authority they won’t take over next year either. There’s always 2020.
In the meantime, here’s what the experts think will happen in 2019:
https://thenextweb.com/artificial-intelligence/2019/01/02/heres-what-ai-experts-think-will-happen-in-2019/
Artificial intelligence (AI) is everywhere, driven by large investments, lots of startups, all established technology vendors, and enterprises big and small experimenting with what it can do for their bottom line. 120 predictions for AI in 2019 did not exhaust the subject, so here are 20 more.
https://www.forbes.com/sites/gilpress/2018/12/12/20-more-ai-predictions-for-2019/#2d3f2724d741/
According to Gartner, customer experience (CX) – more than products or solutions – is the new battlefront for business, with 81% of marketers saying that by 2020 they expect to be competing mostly or completely on the basis of CX. However, with customer expectations constantly rising, businesses continue to fall behind. Forrester’s Global Customer Experience Index continues to find that most companies are rated as “poor” or “very poor” year on year. Even the organisations that scored “good” in 2017 either fell in 2018 or didn’t improve. In order to future-proof their business, organisations need to be asking themselves not ‘what do customers want?’ but, ‘what will customers want?’
http://www.itnewsafrica.com/2018/11/how-will-automation-ai-and-iot-shape-user-experience/
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/
Artificial Intelligence (AI) systems are finding their way into customer service, scientific development and more. Many marketers have been waiting for the option to use AI systems to solve problems in their niche. Many professional marketers are wondering when these systems will be ready.
Evaluating AI for a complex need in marketing ultimately comes down to examining the challenges that marketers face today. Not every average marketing agency has the budget aside that they can use to develop AI systems or use deep learning algorithms. The problem with most AI systems is that they commonly take a lot of computing power and development before they can get off the ground and produce reliable results.
https://www.business2community.com/marketing/is-marketing-with-artificial-intelligence-ai-now-a-user-friendly-experience-02137966/
Rapidly developing smart retail will see three major trends in 2019, including an emphasis on the human side of business, according to CC Liu, secretary general of Asia AIoT Alliance.
Liu stressed that tech development originates from human nature, with all tech designs aimed at providing consumers with greater convenience. Accordingly designers must grasp users' situations well to provide better services. He continued that Amazon unmanned stores, for instance, allow consumers to take things from the store without having to pay at the counter.
The second trend is creating more convenient UI (user interface) and more friendly UX (user experience) to facilitate purchases, Liu said, adding that based on consumer psychology, consuming is quite an impulsive behavior and therefore how to shorten the transaction process will be crucial for further upgrades in smart retail operations.
The third trend is that smart retail will entail AI as the core. Liu said that AI is not almighty but serve as a helper to decision making. AI can be utilized to analyze big data to provide references for managers in handling distribution, pricing, marketing and new product development, while also further predicting market trends and facilitating customized services, according to Liu.
https://www.digitimes.com/news/a20181112PD214.html/
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