Weber Shandwick's report AI-Ready or Not: Artificial Intelligence here we come!, released this week, shows that top global marketers believe AI will have an even bigger impact on comms than social media. Gorkana asks Weber and other agencies, including Firefly, Hotwire PR and Babel, what they think about the AI'revolution'. According to Weber Shandwick's report, AI is defined as the following: "[AI] is a field of technology designed to create computers, machines and software that are as smart as humans, and which are able to perform the same tasks that normally require human intelligence." It surveyed 150 chief marketing officers across the UK, US and China and more than half of them (55%) expect AI to have'a greater impact on marketing and communications than social media ever had'. Nearly six in ten (58%) of respondents believe that within the next five years companies will need to compete in the AI space to succeed. Furthermore, 68% of the CMOs reported that their company is currently selling, using or planning for business in the AI area.

The question is especially relevant for logistics providers. One study finds that ocean carriers will lose at least 5bn this year, in large part due to a glut of unneeded capacity. Clearly they need to do a better job of matching supply and demand, and the age of Big Data offers a tempting solution to the problem. But Big Data can also lead to Big Chaos, unless providers have a means of sifting through that mass of information and interpreting it properly. That's where artificial intelligence and machine learning come in.

Much of the internet appears to be broken. A distributed denial of service (DDoS) attack has taken down systems run by Dyn, Inc, one of the largest providers of internet services in the world. And as a result it seems to be causing problems for a variety of websites – including Reddit, Spotify and Twitter. Dyn runs domain name servers or DNS. They work as a phone book or map to the internet, making sure that when someone writes an address into their computer or phone, it can be directed to the right place and show the right information.

If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?" After reading above papers, you will have a basic understanding of the Deep Learning history, the basic architectures of Deep Learning model(including CNN, RNN, LSTM) and how deep learning can be applied to image and speech recognition issues. The following papers will take you in-depth understanding of the Deep Learning method, Deep Learning in different areas of application and the frontiers. "Deep compression: Compressing deep neural network with pruning, trained quantization and huffman coding."

G Suite, the office productivity suite formerly known as Google Apps for Work, has made key technology improvements we can expect to see in cloud-based customer relationship management (CRM) platforms. After all, sales teams no longer use CRM in a silo because sales is increasingly a data-driven game. Companies are integrating their CRM platforms with productivity tools, project management solutions, and other back-end data sources to gain a competitive advantage. Here are three ways G Suite is a CRM trend in the making. With Salesforce trying to democratize artificial intelligence in the CRM world, it's well past time for other cloud vendors to start applying machine intelligence to common productivity and data use cases for all of us to have a more integrated platform future for our customer data.

In 2011, in an article in the Wall Street Journal, Marc Andreessen proclaimed that software is eating the world. He argued that a slew of technological innovations including advanced microprocessors and high-speed connectivity will revolutionize traditional business, and that every company should become a software company. Many pundits have subsequently argued that even traditional businesses will need to rethink their business models. Andreessen even went so far as to say that the entire retail vertical will eventually die due to the scalability of companies like Amazon. In short, if you aren't thinking about how you will disrupt your industry you can bet your competitors are already doing so.

Ever since Google announced RankBrain, a machine learning algo, there has been much speculation about what other parts of the search algo Google might use machine learning in. While they have said Penguin is not a machine learning algorithm, there is speculation that other parts of the search algo could incorporate machine learning, especially with comments John Mueller made recently about machine learning being used in a lot of Google's systems. During the breakfast keynote at Pubcon last week with Gary Illyes and Eric Enge, the use of machine learning in the Google algo came up with RankBrain being discussed. Enge then asked "It hasn't taken over the whole algorithm?" I can probably say that it will never take over the whole algorithm, or the core algorithm.

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British physicist Professor Stephen Hawking at the inauguration of Cambridge University's artificial intelligence (AI) centre on Wednesday said that AI will either "transform" society or destroy it. "Success in creating AI could be the biggest event in the history of our civilisation...but it could also be the last unless we learn how to avoid the risks," he said.

WhatsApp and Facebook Messenger are the most secure chat platforms, according to Amnesty International. But that decision has already met with scepticism from people in the technology community, some of whom have warned that it might not be safe to use the apps at all. Amnesty gave Facebook and WhatsApp a score of 73 out of 100 – its highest – to the two apps, which it didn't distinguish between. But it particularly picked out WhatsApp, which it said was "the only app where users are explicitly warned when end-to-end encryption is not applied to a particular chat". It did have some criticism for Facebook, which doesn't apply strong encryption by default and doesn't warn users that they're not using the most secure technology.