IoT in Action: The promise of AI-enabled IoT


The next technology revolution is underway. Advances in artificial intelligence (AI) and machine learning coupled with more robust and competent devices is driving transformation across industries and workstreams, from small farms in India to huge corporations in the United States. So what kinds of changes are underway and what does AI-enabled Internet of Things (IoT) offer businesses across industries? For a full discussion on this, I'd suggest attending the upcoming IoT in Action event in San Francisco on February 13 (more on that later). For this article, we'll look to Microsoft's Chief Storyteller, Steve Clayton, who touches on some key areas.

John Sculley: Why AI Is the Tech Trend to Watch in 2018 - Knowledge@Wharton


AI has become "ALL IN" and pervading at a rapid speed. Technology moves at breakneck speed, and we now have more power in our pockets than we had in our homes in the 1990s. Artificial intelligence (AI) has been a fascinating concept of science fiction for decades, but many researchers think we're finally getting close to making AI a reality. NPR notes that in the last few years, scientists have made breakthroughs in "machine learning," using neural networks, which mimic the processes of real neurons. Artificial intelligence, defined as intelligence exhibited by machines, has many applications in today's society.

CA Technologies forms cobot research project with Tampere University of Technology, Tieto


ZDNet and TechRepublic looks at the dramatic effect of AI, big data, cloud computing, and automation on IT jobs, and how companies can adapt. CA Technologies said it will work on cobotics, collaborative robots designed to work with humans, with researchers in Finland to examine how to build human-to-robot workflows. The company said it will work with Tampere University of Technology in Finland and Tieto, a Finnish IT software and services company. For CA Technologies, which has pivoted to be more of a software factory for developers and enterprises, melding robot-human workflows will matter over time. CA CTO Otto Berkes said the company is looking for the project to help it develop the proper models, algorithms and security for human-robot collaboration.

Driverless Vehicles - The Unanswered Questions


Research recently conducted for The Times has presented a fairly negative snapshot of the public's perception of autonomous vehicle technology. In it, almost two thirds of motorists said they would not buy a driverless car, suggesting that people don't trust driverless technology… yet. Clearly, those involved in the burgeoning industry face an enormous challenge in reassuring those unnerved by the idea of not being in control. Failure to do so will see driverless vehicles join the scrap heap of failed transport modernisation projects. Safety is naturally top of the list when it comes to the prospect of driverless vehicles.

Why is Artificial Intelligence so important in hotels?


Artificial intelligence is about technology that brings solutions to society in general. The term stands for the performance of intelligent behaviours by computers or machines. In essence we can say it is about computers, robots or machines performing tasks that traditionally require cognitive function to carry out. It is associated to automation and big data. So, allow me to start by saying, it is a world of opportunities for our hotel industry!.

Artificial intelligence: the legal and regulatory challenges Lexology


It seems like only yesterday when everyone was talking about the impact of Big Data on the insurance industry. Talk about Big Data now and you will almost seem old-fashioned – it's all about artificial intelligence and InsurTech. Artificial intelligence (AI) will soon be everywhere. It is making decisions about what we buy, when we buy it and how much it costs. It is controlling interactions between customers and suppliers.

Drones, digital twins, AI and mobile apps: 4 commercial aviation trends for 2018


Despite longer-lasting aircraft, more durable engines and innovations in maintenance techniques, recent research has shown maintenance spending continues to increase. In fact, airlines now spend more money on maintenance than on fuel or crew. The need to cut maintenance, repair and overhaul costs is a pressing issue for airlines, as is the need to keep assets operationally available. So how can airlines keep aircraft in the air while reducing maintenance costs? Maintenance is one of the major contributors to aircraft operating costs.

Western Automakers Can't Afford To Ignore The Threat Of The New 'Made In China'


The Byton electric concept vehicle interior, with its 49-inch digital display, AI software, and high-tech cameras, was a highlight of the 2018 Consumer Electronics Show (CES) in Las Vegas. When a two-year-old Chinese startup unveiled the Byton--a high-end, artificially intelligent, fully electric sport utility vehicle that is 40 percent cheaper than a Tesla Model X--at last week's Consumer Electronics Show, it not only threw down the gauntlet in the race to develop smart electric cars. The company also signaled that Chinese manufacturing has entered a new phase. Just as China has become a global player in personal computers, solar panels, and integrated circuits to the point that the nation is among the world's largest producers, we expect China will become a major supplier in new sectors such as aerospace, smart cars, and robotics in the near future. Until now, the Chinese have been held back in these sectors in large part because of concerns over quality and safety.

AI Supply Chain: Four Key Predictions for 2018


This year may not see the technology start to affect our daily lives, but important companies in the supply chain have already started investing in its development. One of the biggest stories to land on PTI's news desk was the joint venture between A.P. Moller - Maersk and IBM, which will provide more efficient and secure methods for conducting global trade using blockchain technology and other cloud-based open source technologies including AI, IoT and analytics. PTI has also been asking some of the top supply chain industry experts what effect AI will have on container shipping. We recently found out from Dr. Yvo Saanen, Commercial Director and Founder of TBA -- an industry-leading consultancy, simulation and software specialist for ports, terminals and warehouses, that the quality of data in the shipping industry will hinder its adoption of AI technologies. But, to find out what may come in 2018, read an extract below from best-selling author and keynote speaker on business, technology and big data, Bernard Marr, who has shared his AI predictions for the year -- first published by Forbes.

Top 5 Machine Learning Use Cases for 2018 GigaSpaces Blog


Artificial Intelligence (AI) is being deployed more and more frequently across industries. Far from the typical sci-fi fantasy depiction of robots with human-level intelligence, AI's use in business today is frequently used to automate tasks that humans have done in the past, such as picking products at a warehouse for order fulfillment but also to find hidden patterns in data that lead to actionable insights. Machine learning is a central subset of AI systems and has become an essential tool for data-driven businesses. At its core, machine learning is the process whereby a computer is given "the ability to learn without being "explicitly programmed." That may seem fairly vague, but there are many excellent use cases that highlight why this technology will have a long-lasting impact on business and society.