Artificial intelligence (AI) is expected to be a revolution on how we interact with the world around us as part of a connected environment. As part of the series of guest posts named Thoughts Leaders' Corner, here is a very interesting article from Aric Dromi, Chief Futurologist at Volvo Car Group and cofounder of TEMPUS.MOTU. I hope you will enjoy it and if you are interested to the legal issues of the Internet of Things that are part of this digital revolution, check my blog post here! We are living in an experience based interaction simulation. A place that is governed by transparent intelligence technologies.

SEB will be the first bank to use IPsoft's cognitive technology for customer-facing operations in the Swedish language. The artificial intelligence (AI) solution, known as Amelia, will be integrated into the front-office set-up at SEB by the end of this year. The project follows on from a successful deployment of Amelia for SEB's internal service desk, supporting 15,000 staff. In the customer-facing role, Amelia will be dealing with one million clients of SEB. "Customer service is a key differentiator. By making Amelia available to respond to queries, we enhance our customers' flexibility of receiving individualised support at a time that suits them and without any delays in response," states Rasmus Järborg, chief strategy officer at SEB.

Samsung Electronics said Thursday it will buy Viv Labs, founded by the creators of Apple's Siri service

Summary: If Deep Learning is powered by 2nd generation neural nets. What new capabilities does that imply and when will it get here? By far the fastest expanding frontier of data science is AI and specifically the rapid advances in Deep Learning. Advances in Deep Learning have been dependent on artificial neural nets and especially Convolutional Neural Nets (CNNs). In fact our use of the word "deep" in Deep Learning refers to the fact that CNNs have large numbers of hidden layers. Microsoft recently won the annual ImageNet competition with a CNN comprised of 152 layers.

On stage at TechCrunch Disrupt last month, Udacity founder Sebastian Thrun announced that the online education company would be building its own autonomous car as part of its self-driving car nanodegree program. To get there, Udacity has created a series of challenges to leverage the power of community to build the safest car possible -- meaning anyone and everyone is welcome to become a part of the open-sourced project. Challenge one was all about building a 3D model for a camera mount, but challenge two has brought deep learning into the mix. In the latest challenge, participants have been tasked with using driving data to predict steering angles. Initially, Udacity released 40GB of data to help at-home tinkerers build competitive models without access to the type of driving data that Tesla of Google would have.

Sometimes, it's the little changes to language that give away a company's ambition. At the unveiling of Google's new Pixel phones yesterday, CEO Sundar Pichai started the event not by talking about what users can get from Google, but what they can get from their Google. Using artificial intelligence and its new digital assistant, said Pichai, Google's computing power will be available in every facet of users' lives. It'll be seamless and pervasive. "Our goal," he said, "is to build a personal Google for each and every user."

Almost a quarter century ago, a book was written about how organizations would focus on share of customer as opposed to share of market, building a personalized collaboration driven by big data. With advanced analytics, banking may finally getting close to realizing this vision. In 1993, a then revolutionary book, "The One to One Future: Building Relationships One Customer at a Time" was published, proposing the idea that as technology makes it affordable to track individual customers, marketing shifts from finding customers for products to finding products for customers. According to the authors, Don Peppers and Martha Rogers, Ph.D., a company could use technology to gather information about, and to communicate directly with, individuals to form a commercial bond. The book became a bestseller, and was on every marketer's bookshelf … almost a quarter century ago.

A small drone taught itself to judge distances using only one eye during trials aboard the International Space Station, ESA-backed researchers have reported. Although humans can effortlessly estimate distances with a single eye, robots still lack this capability. "It is a mathematical impossibility to extract distances to objects from one single image, if the object has not been encountered before," explains Guido de Croon from Delft University of Technology, one of the investigators. "But if we recognise something to be a car, then we know its physical characteristics, and we can use that information to estimate its distance from us. A similar logic is what we wanted the drone to learn during our experiment."

McCann FitzGerald has successfully trialled state-of-the-art Kira software in M&A, corporate finance and capital markets transactions in a move to improve efficiency and lower costs for clients. It is the first law firm in Ireland to deploy this technology, building on the launch of the Data Investigations Group earlier in the year. Kira software uses the power of artificial intelligence, searches and text analysis within documents to deliver improved levels of speed, efficiency and quality to processes. Commenting on the project, managing partner Barry Devereux said: 'Our investment in Kira Systems' innovative software is the latest milestone in our digital strategy. Our in-house expertise combined with the latest cutting-edge technology enables us to process complex data and deliver exceptional value to clients.' Earlier this year, McCann FitzGerald launched its Data Investigations Group, a model for the management of high-volume document review and reporting.