True story: one of my social media connections asked for recommendations for reliable new sources and got a few outlets named, though some of us -- myself included -- said that you simply cannot rely wholly on any single source and have to check through multiple sources to be sure you get the full picture of the facts in context to find where the truth lies. But not everyone is sophisticated enough to be aware that reports they see -- even from outlets with solid reputations -- need to be taken with a grain of salt. That's why Valentinos Tzekas founded FightHoax, the creator of an AI-powered algorithm that empowers anyone to ascertain if an article is fake or not in just seconds without Googling the story. Described with the tagline, "Fighting against the mass misinformation spread," FightHoax claims an accuracy rate of 89% based on the most recent and most user-requested 172 fact-checked articles). It is still in private beta and not fully public.

The Unilever brand is associated with things like soap and deodorant. But technology does play a central role in its business operations, and the UK-based company sought to tap into its power to improve hiring. With the goal of diversifying its pool of entry-level candidates, Unilever experimented with replacing its standard approach to recruiting with algorithms and targeted mobile ads. As described in a recent Wall Street Journal article, Unilever's recruiting in the past had centered primarily around eight college campuses and the usual resume collection. But the company wanted to try a different approach that would reach more people and filter through applications without overwhelming the human resources in place. The solution was setting up a hiring process based on algorithms.

AI is changing our everyday interactions. What once required a human rep can now be handled by a virtual assistant whose programming allows customer problems to be solved more quickly. A recent Venturebeat article declared, "AI chatbots are the next big shift in customer service." Those of us of a certain generation expect to wait on a line or on the phone for a person to take care of our customer service issues. But the generation that favors texts to calls has come to have different expectations.

As big data continues to grow, extracting value from it calls for new tools. Increasingly, businesses that rely on data to drive decisions are applying AI to surface actionable insight quickly and accurately. Finding innovative solutions to the problems raised in data analytics, particularly with respect to adapting machine learning to credit scores, is what they've been working on for the past six years at Experian's DataLabs. The EVP and Global Head of the labs, Eric Haller, spoke to All Analytic about the new direction for predictive modeling. There's a difference between how modeling was done in the past and the possibilities of current approaches.

Anyone who uses Twitter knows that it can be home to very hostile exchanges, some of which may even constitute cyberbullying. In a world where that kind of danger is a mere click away, what can parents do to keep their children safe without monitoring their every digital move? Analytics and machine learning are offering new options. Bark CEO Brian Bason founded his company after having a couple of kids of his own and finding himself concerned about online safety. Bark offers a machine learning-backed app and service to help parents work together with their children to navigate the dangers of today's digital world.