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Self-driving cars, intelligent drones, robots and more: Artificial Intelligence, or AI, is expected to be the biggest revolution in the digital space since the dawn of the world wide web. And maybe the last one, as cynics like to say: From Stanley Kubrick (2001: A Space Odyssey) to Stephen Hawking, many have warned about the dangers of AI surpassing us. From a marketing perspective, AI looks like a great, rather than a gloomy, possibility. The future is full of promising applications for it. Tracking tools have become more and more sophisticated. They make it possible to track all the actions of your website visitors, from the first visit on -- but for the marketer there lies a challenge in actually reading the phenomenal amount of data they gather.

In the last few months, I have had several people contact me about their enthusiasm for venturing into the world of data science and using Machine Learning (ML) techniques to probe statistical regularities and build impeccable data-driven products. However, I have observed that some actually lack the necessary mathematical intuition and framework to get useful results. This is the main reason I decided to write this blog post. Recently, there has been an upsurge in the availability of many easy-to-use machine and deep learning packages such as scikit-learn, Weka, Tensorflow, R-caret etc. Machine Learning theory is a field that intersects statistical, probabilistic, computer science and algorithmic aspects arising from learning iteratively from data and finding hidden insights which can be used to build intelligent applications. Despite the immense possibilities of Machine and Deep Learning, a thorough mathematical understanding of many of these techniques is necessary for a good grasp of the inner workings of the algorithms and getting good results.

One of the trickiest things about working at Contagious is separating probability from hyperbole. We tend to cover the most optimistic aspects of the industry – where brands are enthusiastically embracing new technologies; where agencies are pursuing bold new strategies; and where startups are figuring out how to change the world. Amid all this energy, it can be hard to stay rational and not get caught up in the whirlwind. But sometimes a new trend comes along that feels like it might live up to the hype. 'Machine learning has created the biggest business opportunity in history,' said Pedro Domingos, The University of Washington professor of computer science and engineering, in a recent talk.

We @ProjectJunoAI are big fans of landscapes. That's why we've created a machine intelligence landscape focused entirely on Europe [1]. Europe deserves a landscape of its own to highlight its talent and expertise. Until recently, its contribution to the innovation and commercialisation of machine intelligence technologies has been under-appreciated. We now see growing self-confidence borne of the success, and continued presence, of local acquired startups like VocalIQ, Swiftkey, Deepmind, Magic Pony Technology, and PredictionIO.

In my last article "Natural Evolution: From chatbots to fully A.I integrated applications", I touched upon the Artificially Intelligent member of staff I have been developing that assists businesses with running their day to day via the TechBubble GUI. Whilst developing the A.I. I had become stuck on the decision of whether or not the A.I. should have the ability to interact with its team members in a way that was outside of the scope of being a business assistant, in other words, should the A.I. be able to hold general conversation, to some degree, with its team members, or should it only be allowed to converse on subjects that are specific to the tasks in hand. After posting the questions, I realized that I should of worded question 1 better, but it actually raised some interesting views. What I had meant by "would you expect the A.I. to be a sort of authority that would answer and then prompt them to carry on work" was: would a business owner expect the A.I. to be able to answer general question to some extent, but ensure that it stayed on track with whatever task it was assisting its team member with, and make sure that the staff member was aware that it was not a chatbot to have fun with or general conversation. This part of the question seemed to be the part that was picked up on first by the people replying.

Your face is quickly becoming a key to the digital world. Computers, phones, and even online stores are starting to use your face as a password. But new research from Carnegie Mellon University shows that facial recognition software is far from secure. In a paper (pdf) presented at a security conference on Oct. 28, researchers showed they could trick AI facial recognition systems into misidentifying faces--making someone caught on camera appear to be someone else, or even unrecognizable as human. With a special pair of eyeglass frames, the team forced commercial-grade facial recognition software into identifying the wrong person with up to 100% success rates.

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Owais Afaq is simplifying technology as the CEO of Aplos Innovations. From the famous advent of Microsoft Tay at the end of Q1 to the numerous acquisitions of AI and chatbot companies during the latter half of this year, artificial intelligence has been in the headlines every other day. In August there was an article on TechCrunch asking a very (seemingly) simple question: Can chatbots help build your next website? Being a web programmer who is working on AI and conversational interfaces, this stirred my interest even more and compelled me to check out the services listed therein -- and a few others of the same category. My excitement wore off when I found out these AI chatbots were not only at their teething stage, but also made simple tasks much more complex than the DIY builders they are supposed to kill.

Accenture to Help Finnish Immigration Service Deliver Digital Transformation Program HELSINKI; Nov. 2, 2016 - Accenture will help the Finnish Immigration Service (Migri) deliver its Smart Digital Agency program, which is designed to enable the digital transformation of the agency's operations. The program will improve the overall customer experience and introduce innovative digital self-service options for citizens accessing services related to immigration, residency, refugee-related matters and Finnish nationality. Accenture will help Migri enhance its digital capabilities to manage user service requests and to ensure that customer-oriented design thinking remains at the heart of agency activities. Accenture will also help Migri reduce costs and review how the agency streamlines its internal processes, including how information is shared internally and externally with other agencies and state authorities. 'The Finnish immigration service wants to be a pioneer in the delivery of digital public services and to be an example to public service agencies seeking to build their digital capabilities,' said Vesa Hagström, Finnish Immigration Service Development Director.