Babble

Retail sales up in November because they tricked your dad into thinking a printer was cheap. from gizmodo http://www.gizmodo.co.uk/2017/12/black-friday-boosts-the-uks-bottom-line/

The X-Men are coming home to Marvel! Here's how Disney can make sure they don't accidentally ruin the Marvel Cinematic Universe in the process. from gizmodo http://www.gizmodo.co.uk/2017/12/how-to-not-screw-up-introducing-x-men-into-the-marvel-cinematic-universe/

WWE comes to Facebook's video service. from gizmodo http://www.gizmodo.co.uk/2017/12/facebook-is-counting-on-body-slams-to-drive-traffic-to-the-watch-tab/

Public consultation and all the possible plans to be revealed in January. from gizmodo http://www.gizmodo.co.uk/2017/12/heathrow-teases-more-affordable-phased-expansion-plan/

After weeks of teasing the public with reports of false starts and stops, Disney and Fox have settled on a massive $52 billion deal. from gizmodo http://www.gizmodo.co.uk/2017/12/its-official-the-x-men-and-fantastic-four-are-coming-back-to-marvel-thanks-to-a-huge-deal-between-fox-and-disney/

Artificial intelligence in the workplace is here to stay. However, as enterprise technologies continue to develop and evolve, we must understand how AI will affect our roles and responsibilities at work. The unknowns about the impact of AI has led to the fear that this emerging technology could be a substitute for – or entirely eradicate – existing jobs. Depending on which stats you refer to, AI will replace over 40% of jobs by 2030, or that 165 million Americans could be out of work before 2025. Yet it is not all doom and gloom. Given the rate of new systems, processes, and data that we’re exposed to each day, AI can deliver tangible benefits in learning our skills, habits and behaviors, upending how we use technology. When companies are spending over $3.5 trillion on IT and use an average of 831 cloud services, it’s no surprise that we forget 70% of what we learn in a day, unless we immediately apply that knowledge into our workflows. There are four tectonic shifts happening with...

We are more comfortable having conversations with machines than ever before. In fact, by 2020, the average person will have more conversations with bots than with their spouse. Twenty-seven percent of consumers weren’t sure if their last customer service interaction was with a human or a chatbot. To the average person, conversation is simply a more convenient interface, evidenced by messaging services having supplanted social networks in active users. But when it comes to conversational interactions with bots, what exactly do these exchanges mean for machines? For machines, these conversations are just data. Despite this newfound abundance of ridiculously valuable data, most companies are still just using AI technologies to deflect calls from the contact center.  We have the bigger opportunity to use this data to impact real business decisions across every role, function and department in the enterprise. Yet here we are, about to kick off 2018, and most companies are still ...