Reading an article, watching a video on TikTok or YouTube, listening to a podcast while you're out running, you feel you have a reasonable expectation the content you're consuming is created by a human being. There is good reason to assume at least part of what you're consuming was either created by or assisted by an AI or some form of NLP (Natural Language Processor) or machine learning algorithm. Whether it's a TikTok video about a viral trend, an article in a renowned newspaper, or an image accompanying a news story on television, chances are some forms of AI generation has taken place between the idea of the story being created and the story reaching you. It could be the image was generated using DALL·E 2 or another image-generating AI, it could be the title, or lede, or social media text was generated by an NLP, it's quite likely part of or the entire text was written by an AI based on the prompts and prior writings of a human creator, and if you leave your young kids watching YouTube videos, there's a very high chance they'll encounter videos entirely conceived of and generated by an AI. Whereas Web 1.0 was defined by people being able to publish content using HTML, CSS (and eventually JavaScript), and Web 2.0 was defined by people being able to publish content through user-friendly applications that generated the HTML and CSS and JavaScript for them, the next stage of the web is being defined right now.

"According to research conducted by Bersin by Deloitte, a typical employee can devote only 24 minutes during a workweek to training. That's why businesses eagerly adopt microlearning: it fits into a tight daily schedule seamlessly and employees can take bite-size courses in an off moment, on any device," says Slava Uskov, VP of Product Development at iSpring. "Many professional authoring tools might be overkill for preparing such courses because of their excessive features, a busy interface, and steep learning curve. The series of quick, bite-sized lessons can be used for new employee onboarding, product and sales training, and also as job aids and video explainers. They are especially effective for training "deskless" and field workers who typically don't have access to desktop computers during their workday.

SEO is a results business. So imagine if you have access to data that tells you precisely what you need to do in order to optimise your website and improve visibility in search engines. Well, you don't have to imagine, the technology is already available. Although AI SEO is still in its infant stages, in the next couple of years it will dominate how digital marketing companies develop SEO strategies. AI is already being used in digital marketing to gather data on ad targeting, determine the relevancy of content, identify customer segments for cross-selling, streamline marketing campaigns and analyse emotional values which have the most impact on a target audience.