Bernard Marr is at it again. We saw his great piece on Coca Cola last week, and now he is taking a look at Burberry. He describes how starting in 2006, the company aimed to reinvent itself as an “end to
end” digital enterprise. Its strategy was to use Big Data and AI to boost sales and customer satisfaction.
He discusses their use of AI to make personalised product recommendations, crack down on counterfeits, and more. Their senior VP of IT, David Harris, has said “We are formulating our AI strategy now … we believe that AI can deliver business value through making better products, faster, cheaper processes and more insightful analysis.
The global chatbot market is expected to reach $1.25B by 2025, growing at a compound annual growth rate (CAGR) of 24.3 percent, according to a new report by US-based market research firm, Grand View Research.
Large enterprise emerged as the biggest end-user segment in 2016 and is estimated to register a CAGR of 24.2 percent over the forecast period. Increasingly, chatbots have found wide applications in large enterprises as they enable better understanding of consumer behaviour with the help of machine learning.
Microsoft is setting up a new healthcare department at their Cambridge research facility, as part of plans to use AI to enter the health market. Microsoft has hired researcher Iain Buchan, formerly clinical professor of public health informatics at the University of Manchester, to lead the healthcare research division. A trained doctor and data scientist, he has researched how data can improve healthcare for the past 25 years in clinical and academic settings.
Its research plans include monitoring systems that can help keep patients out of hospitals and alert them in a timely manner about problems, and large studies into diseases such as diabetes.
A breakthrough in soft robotics means scientists are now one step closer to creating lifelike machines. Researchers at Columbia Engineering have developed a 3D printed synthetic tissue that can act as active muscle.
The material, which can push, pull, bend, and twist (thanks to its use of silicone rubber and ethanol-dispensing micro-bubbles) is also capable of carrying 1,000 times its own weight. Not only could the invention result in super-strong machines (like a Terminator that works in manufacturing), but it will also release soft robots from their current shackles.
Kurt Heinemann (Chief Marketing Officer, Reflektion) discusses how companies are selling their AI and how some of the branding is not quite accurate.
For today’s consumers,it’s not necessarily the technology itself that’s most important but rather the impact that the technology has on the lives of their users. That’s why it’s frustrating for me to see companies that tout AI in the marketing of their products and services, as opposed to the experience that AI offers.
Cubic Transportation Systems, the US company behind London’s Oyster card technology, is working on new ticketing systems that use facial recognition, palm vein scanning and object tracking in a bid to cut down queues.
One of the problems Cubic is trying to solve is the bottleneck that occurs at ticket gates when everyone rushes to dig out their ticket or pass. To avoid this crush, Cubic suggests removing the gates completely. Instead, its prototype system uses an object tracking system to
track passengers as they walk through. The company has demonstrated a prototype of its “FasTrak” gateless gate system at its London-based innovation centre.
Rene Chun has written a great (lengthy) piece on algorithmic art, focusing on the work of the Art and Artificial Intelligence Lab (AAIL) at Rutgers University and the ground-breaking research which Professor Ahmed Elgammal is conducting there, describing his creation of his own proprietary image-generating system: Creative Adversarial Networks (CANs). The article also discusses the public’s reaction to the work and the history (and future) of art.