So far, when AI companies have trained on YouTube's invaluable stash of videos, captions, and other content, they've done so without permission. An AI-focused content licensing startup called Calliope Networks is hoping to change that with its new "License to Scrape," a program aimed directly at YouTube stars. "There's obvious demand from AI companies to scrape YouTube content. We see that by their actions. So what we're trying to do is to create a tool that makes it legal and simple for them," says Calliope Networks CEO Dave Davis.

Google has warned that numerous Gmail users will soon be wiped from the platform in an effort to tighten its security. The tech giant announced that thousands of abandoned email accounts could be deleted from December amid hacking and scam fears. Users who rely on compromised passwords will be among those deleted, in addition to those whose accounts have gone without regular security checks for two years. This includes the failure to set up two-factor verification, according to Google. In a blog post, it said: 'People want the products and services they use online to be safe and secure.

Let's begin by driving this point home-- hard. No matter how awesome you are at search engine optimization (SEO), no matter how large your network is, no matter how much you invest in pay-per-click (PPC) ads, YOUR VIDEO CONTENT IS NOT GOING TO RANK IF NO ONE WANTS TO WATCH IT. If you want to get more subscribers, views and show up in YouTube search, Google's featured snippets or anywhere on the internet-- you have to provide and strategically push relevant, informative, entertaining, bomb-ass content. Your video content should not be about your company. No one cares about your company. They care about themselves-- and you need to care about them, too.

YouTube recommendations are a prominent example of applying advanced analytics on a massive scale to improve a service, the experience users get out of it, and the bottom line of the vendor behind it -- Google. Previously, we explored the rationale behind it and pondered as to how this type of analytics could be classified. It's time to pick up where we left off and explore how it works under the hood. Inspiration came from a hit moment for YouTube recommendations: one of those times when it succeeded in picking up the track that the person curating an ad-hoc, spur-of-the-moment playlist was about to play next. The wow effect induced by this successful prediction/recommendation of a rarity, triggered a spur-of-the-moment discussion which may serve to illuminate different aspects of analytics.