Parag Mital is director of machine intelligence at Kadenze, as well as an artist and interdisciplinary researcher obsessed with the nature of information, representation and attention. Artificial intelligence allows machines to reason and interact with the world, and it's evolving at a breakneck pace. Many advances in AI can be attributed to machine learning, which works by tapping massive computing power to crunch through enormous amounts of digitized data. Now consider that most of our data, the best minds in the business and more computing power than you could ever imagine sit with just a handful of companies. For these reasons, only a few companies in the world are best situated to understand the true potential -- and the current limits -- of AI.

People who text and drive may want to think twice, as there could soon be more than the police on their case. An AI-enhanced speed camera has been designed that will catch people on their phones and notify the authorities directly. The futuristic technology could be used to monitor behaviours including leaving suspicious packages, drivers distracted by mobile devices, and intruders trying to access secure locations. People who text and drive may want to think twice, as soon there could be more than the police on their case. Advanced algorithms reside inside cameras themselves, and information processing occurs instantaneously, rather than the information needing to be sent to the cloud to be processed.

The residual plot above shows the prediction error of the test dataset plotted against a selected feature. We built this model just before the wild-card round of the NFL playoffs, and we wanted to test the model against 10 previous games. Of our 10 predictions, seven were correct, and two of the three incorrect predictions were very close to margin (50 percent), as seen in the table below. So, we were comfortable with this model. Next, our model correctly predicted the outcome of three out of four playoff games.

John Lewis [IRDX RJLW] is investing in retail tech startups working in areas from machine learning to social media following the completion of its latest JLAB accelerator programme. The retailer, an Elite trader in IRUK Top500 research, and its innovation partner L Marks will together put 100,000 into DigitalBridge, a technology company that uses computer vision and machine learning technology to enable customers to see how new home furnishings will look within their homes. Wedding Planner, which enables couples to plan their wedding over their phones and online, and Link Big, whose technology turns Instagram into a social checkout, enabling customers to buy products seamlessly from their Instagram feed shop, both receive 50,000. The John Lewis Buying teams will continue working with the two other startups on JLAB 2016, Ding Labs and Robotical, with a view of helping to bring their products to market. The five startups were part of JLAB 2016, a ten week programme working within John Lewis operations to put their technology to practical use.

Today's IT leaders are facing a world of unknowns and underlying fears on a daily basis - from the ransomware that could take down their organizations, to the emergence of new digital disruptors that could render their business obsolete, to the absence of quality IT talent they need to stay ahead of these and other threats. Although scary, it is comforting to know that you are not alone. We asked 13 IT leaders to share their stories of unexpected or frightening events in their career, or the threats on the horizon making them nervous for the future of IT. "A Fortune 500 company had an estimated 500,000 boxes of business records stored with both physical records management vendors and at the company's locations throughout the United States. They pay 2 million per year in box storage alone, but they have no idea what is in the hardcopy business records; the boxes are the'unindexed unknowns.' There is likely a significant risk for PII and PCI given the industry the organization is in. Presently, the company does not have the internal bandwidth nor financial appetite to locate, index, and digitize all of the paper records, thus leaving them extremely vulnerable to a breach."

Hal, the Terminator and Matrix movies, Ex-Machina, and I, Robot all trade on the beloved sci-fi meme of robotized AI and the public's collective psyche when it all goes wrong: fascination and fear. After all, if machines become faster, stronger, and brighter than humanity, why wouldn't they turn on their soft, meaty, and dim creators for either enslavement or a full-on purge? Let's face it – machines are getting smarter. AlphaGo's victory over Lee Sedol at Go came 10 years earlier than predicted, before in fact humanity had worked out the exact number of possible legal Go positions (a number the size of 10170 was completed on January 20, 2016, if you're interested). In 2014, a chatbot glorying in the name of Eugene Goodstead passed the Turing Test by fooling 33 percent of judges into believing it was a 13-year-old Ukrainian boy.

The artist and computer scientist Terence Broad built an autoencoder, a type of artificial neural network, and showed it the classic science-fiction film Blade Runner (1982). He trained the autoencoder to remember every individual frame of the film and to reconstruct each one as a memory, on view here. In the original film, a bounty hunter hunts down androids that are so well engineered that they are indistinguishable from humans. Here, we face a similar challenge, as we trying to identify the original film within the AI's program's perception of it. Terence Broad, Blade Runner--Autoencoded, 2016 Advance tickets are required.

Digital technologies and advanced analytics have the potential to create the Invisible Bank of the future. Powered by artificial intelligence (AI) and activated by voice, virtual banking assistants can become an integral part of our daily lives. Banking today is becoming less and less a place you go, and more something that is hidden from view behind digital banking and commerce apps. Once an account is opened at a bank or credit union, there is less need to stop into a branch, since functions like deposits, borrowing, payments and transfers can be done without personal interaction through online and mobile devices. According to a new report published by KPMG, "Meet Eva – Your Enlightened Virtual Assistant and the Future Face of the Invisible Bank", technologies like Apple's Siri, Amazon's Alexa or Samsung's Viv will enable an even greater shift in banks and banking by 2030.

Artificial Intelligence is not a vision of the future. It has become an indispensable prerequisite for a modern and value-added customer management. We have responded already in the past to the new requirements that companies are facing in the course of digitalization – through transitioning from Customer Relationship Management to Customer Journey Management Consulting. Our success proves us right: today, we are one of the market-leading consulting firms in the field of customer management in Central Europe. With the acquisition of Insight Dimensions GmbH (to press release), a German company located in Böblingen we take the next logical step towards the future by linking Artificial Intelligence and Customer Journey Management. We are delighted about the addition of this successful company and wish our new colleagues a heartfelt welcome.

Further, we are happy to see the National Institute of Standards and Technology (NIST) involved in all three White House documents. Creating the NIST cybersecurity framework, the great scientists at NIST clearly have their eye on the power and future of AI and Machine Learning platforms. Indeed, and in the nick of time, the NIST published Statement 800-160 entitled "Systems Security Engineering: Considerations for a Multidisciplinary Approach in the Engineering of Trustworthy Secure Systems," which will require manufacturers of IoT devices to consider building them to be "cyber secure by design" first before rushing them to market. We feel that by and between the NIST and the Big 5 mentioned above, considerate, ethical, and secure AI and Machine Learning platforms will be reasonably assured.