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/
AI systems and devices will soon recognize, interpret, process, and simulate human emotions. A combination of facial analysis, voice pattern analysis, and deep learning can already decode human emotions for market research and political polling purposes. With companies like Affectiva, BeyondVerbal and Sensay providing plug-and-play sentiment analysis software, the affective computing market is estimated to grow to $41 billion by 2022, as firms like Amazon, Google, Facebook, and Apple race to decode their users’ emotions.
https://hbr.org/2018/07/3-ways-ai-is-getting-more-emotional/
As enterprise end-users and customers alike have embraced the digital life, the need for well-designed user experience (UX) has intensified. With so many applications, platforms and services that continue to change day by day, or even hour by hour, UX has become a major force in its own right.
Now, the world is moving to artificial intelligence (AI), which promises to greatly enhance UX, working behind the scenes to deliver automatic and intuitive responses to user requests. The benefits of AI go even deeper. A recent survey of design professionals by Adobe finds more than half, 62%, expressed interest in AI and machine learning and what they add to the creative process. AI and machine learning will have a "democratizing effect on creativity" in applications and products. AI also opens up possibilities such as 3D and immersive design.
https://www.zdnet.com/article/ai-helps-user-experience-ux-helps-ai/
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/
We’re very happy to announce that the release of our newest machine learning (ML) technology – automatic feedback categorisation – was a successful one! As a next step, we want to make sure our users know how to get the most out of this new feature. That is why we’ve created this little guide to Mopinion’s New Machine Learning Technology.
https://mopinion.com/best-practices-mopinions-machine-learning-technology/
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/
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/
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 gradually shifting from the science fiction arena toward the domain of digital marketing. IT companies are not the only businesses interested in AI, but along with API technology, it attracts the attention of businesses from a variety of industries.
The experts in data processing and analysis use a whole set of terms to define AI and its related technologies such as machine learning, deep learning and cognitive computation. All of these share the same strategic task; to evolve from rule-based, programmed systems to flexible mechanisms capable of decision making and self-adapting to fast-paced business realities.
https://channels.theinnovationenterprise.com/articles/how-ai-and-api-are-revolutionizing-marketing-and-the-customer-experience/
Enterprise mobility has, for long, promised to be a channel that would allow employees to work from wherever they want and be productive. This approach would not only improve the accuracy and efficiency of workers but would also allow them to be operational without any geographical constraints. Further, the addition of artificial intelligence (AI) into enterprise mobility will deliver the high-end results to the businesses.
AI will bring a change in the operational workflow of an organization in multiple ways and departments. The impact will be noticed across areas like device management, user experience, security, and applications. However, privacy concerns will also continue to rise in the wake of these new technologies, and advanced security measures need to be employed to prevent the data from misuse.
https://www.cioreview.com/news/how-ai-and-machine-learning-is-impacting-enterprise-mobility-nid-27329-cid-142.html/
Bookmarks on this page are managed by an admin user. 
