"It is mind-boggling the amount of data our media consumption generates across all our devices. Making sense of it all becomes very difficult with a human-sized brain--you get lost in the details" Nicolas Bidon is Xaxis' global president and he's talking about the future of programmatic at Mobile World Congress in Barcelona. MWC is an apt setting for discussions on The Future. Away from these gigabytes of invention, the calm of Xaxis' networking garden is cool relief. So, how has programmatic evolved and what's next for the industry?

By 2020, an average internet user will use 1.5GB of traffic a day, and daily video traffic will reach 1PB, Intel predicts. A huge amount of data will be generated by autonomous vehicles, mobile devices, and internet-of-things devices. Every day, more information is being collected and sent to faster servers in mega data centers, which analyze and make sense of it. That analysis has helped improved image and speech recognition and is making autonomous cars a reality. Emerging superfast data networks like 5G -- a melting pot of wireless technologies -- will dispatch even more gathered information, which could stress data centers.

Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next two months; here's what we have so far (send us your events!): Enjoy today's videos, and let us know if you have suggestions for next week. This is one of the best things I have ever seen. In this video we present a new safety module for robots to ensure safety for different tools in collaborative tasks. This module, filled with air pressure during the robot motion, covers mounted tools and carried workpieces.

I recently stumbled across an old Data Science Stack Exchange answer of mine on the topic of the "Best Python library for neural networks", and it struck me how much the Python deep learning ecosystem has evolved over the course of the past 2.5 years. The library I recommended in July 2014,, is no longer actively developed or maintained, but a whole host of deep learning libraries have sprung up to take its place. Each has its own strengths and weaknesses. We've used most of the technologies on this list in production or development at indico, but for the few that we haven't, I'll pull from the experiences of others to help give a clear, comprehensive picture of the Python deep learning ecosystem of 2017. Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.

From helping you take care of email to creating personalized online shopping experiences, AI promises to transform the way we live and work. But with all the hype out there, how do we know which benefits we'll actually see? What is the top benefit you predict emerging from AI, and do you think the overall benefits will live up to the hype? The greatest benefit of AI -- which is already emerging -- is the elimination of repetitive tasks. From chat bots that can free up human staffers' times to work on more complex issues, to scheduling AIs like x.ai that eliminate the need to schedule meetings, AI will ultimately help humans spend more time focusing on creative and high-mental-effort activities.

Providing a great customer experience is vital for airlines trying to attract passengers. Here's how the technology of tomorrow will help them do just that. Working for a global organisation, I often have to travel to meet customers or attend events. Whilst many of those physical meetings have been replaced by virtual ones, sometimes it's still necessary to get on a plane. Travel used to be a frustrating task, but competition between the airlines together with the increasing demands of customers are revolutionising the industry.

The British Artificial Intelligence (AI) company DeepMind Technologies, a subsidiary of Google, recently revealed it will be utilizing a blockchain technology. The firm will use a distributed ledger application to better secure patient data. DeepMind is a software firm that builds algorithms for simulations, applications, and gaming protocols. The company is well known for creating a machine learning platform that learns how to play video games. DeepMind has also built a Neural Turing Machine which mimics a human's short-term memory.

Artificial intelligence (AI) is fast becoming an indispensable marketing tool. Equipped with immense computing power, AI empowers marketers to sort through and analyze vast amounts of customer data housed in companies' point of sale, CRM and loyalty systems – and even external sources such as consumers' social media accounts – to better understand, connect with and engage customers. In fact, a recent survey by Weber Shandwick found that 55 percent of CMOs expect AI to have an even greater impact on marketing than social media has. AI allows marketers to gain valuable insight into their current and prospective customers, suggest offers and promotions that are uniquely relevant to each customer's preferences and behaviors and improve the overall customer journey – helping to increase conversions, close sales faster and build loyal customers. While marketers understand that AI can help them more quickly identify consumers' wants and needs at the individual level, many still have major misconceptions about the implementation and role of AI in their organizations.

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Advancement in computers and technology have been incredibly positive for music creators around the globe. You can learn how to produce music on YouTube, purchase the same sample libraries as your favorite composers and create xustpic scores from your laptop, anywhere in the world. As a result, there are more music producers than ever. Computers helping humans create original music has become today's standard, but there are several companies looking to turn the tables on this process. Computer-generated songs are a fast-growing sector of the industry, looking to disrupt creation, licensing and access for musicians and non-musicians alike.