WIRE)--Cambridge Mobile Telematics (CMT), the world's leading mobile telematics and analytics provider, has launched its latest product line, Claims Studio. Through a lightweight smartphone solution, Claims Studio gives claims adjusters access to robust, unbiased telematics and contextual crash data after an impact occurs. CMT's ability to detect crashes has been in the market since 2015, but now has expanded to support the end-to-end claims process. Claims Studio uses telematics and artificial intelligence to reproduce the true story of a crash, creating a data-driven narrative to accelerate the claims process. By accessing key details like speed, severity, and vehicle impact location early in the process, insurers can spend less time collecting information from drivers and third parties, and more time confirming facts and accurately assessing loss.

Do you remember what Steve Jobs said about'making a dent in the universe?' Well, the way Artificial Intelligence and Big Data are improving lives it seems it would be much easier to do so with these technologies. Be it fraud prevention, automation, security, banking, and now forecasting climate change, AI and data-driven technologies are making rapid progress. Take the finance sector, for instance, AI has been serving it for years by automating and streamlining the customer experience. Additionally, AI-driven identity verification systems are detecting fraud, eliminating fraudsters, and helping banks through automation.

HR leaders predict how cultural, social, and technological shifts will impact the way people work in the coming year. Not too long ago, HR professionals were relegated to the realm of "personnel management"--paper-pushers responsible for administrative tasks and little else. But as organizations have grown and globalized in increasingly challenging environments, so has the role of human resources. Today's HR departments are deeply rooted in organizational planning and business strategy, more essential to the success of a company than ever before. HR leaders have made their way to the C-suite, guiding strategies that unite the goals of a business under one umbrella: talent.

Data scientists are often tasked with working through massive data stores to provide workable insights. These insights are then analyzed in order to identify patterns related to business intelligence or even human behavior. However, it may be one thing to construct data queries and machine learning pipelines, employing all types of optimizations and clever algorithms. It is entirely another thing to be able to communicate the results of arduous data collection and modeling to colleagues that do not share an intimate knowledge of data processing. This is where data visualization arrives to save the day. In his book "Good Charts," Scott Berinato exclaims: " A good visualization can communicate the nature and potential impact of information and ideas more powerfully than any other form of communication."

For decades, ethicists, philosophers and science fiction writers have wrestled with what seems increasingly like an inevitability in the evolution of humankind's technological discovery: The creation of a new species of artificial humanity. Enter stage right: The eerily realistic interactive CGI avatar, Neon. It's the literal brainchild of Samsung-funded Star Labs' Pranav Mistry, who also serves as CEO of the company he says is building "the first computerized artificial human." "Neon is like a new kind of life," Mistry said when unveiling the technology this week at CES. "There are millions of species on our planet, and we hope to add one more." Read more: Neon's CEO explains artificial humans to me and I'm more confused than ever And it's hard to see, just now, whether Neon will live up to the terrifying promises of its creator, or whether it will ultimately be proven to be a glorified chatbot with a bit more nuance than the notoriously creepy AI news anchor revealed in 2018.

Public streets could get a fresh look via the world of autonomous vehicles in roughly the next two years. Self-driving technology supplier Mobileye CEO Amnon Shashua told CNBC Friday that the first phase of autonomous driving will come in the form of cab services. "Robotaxi is not that far away," he said in a "Mad Money" interview. "We are targeting early 2022." The roll-out of self-driving cars must be marketed to fleet operators before it will be available to the general public, Shashua explained to show host Jim Cramer.

The programme is designed for technology professionals who wish to advance their career as a specialist in the field of Artificial Intelligence and Machine Learning. Master Artificial Intelligence - The Next Digital Frontier PG Program - Artificial Intelligence & Machine Learning The Post Graduate Program in Artificial Intelligence and Machine Learning has been designed in collaboration with McCombs School of Business at The University of Texas at Austin, and delivered by Great Learning. It uniquely combines a comprehensive curriculum, interactive mentored learning, hands-on training, and career guidance from industry practitioners to enable successful learning and career outcomes. Taught by renowned faculty from UT Austin, experienced professionals and global academicians; the curriculum covers the most popular and widely-used AI and Machine Learning techniques and their applications to areas such as Deep Learning, Computer Vision, Natural Language Processing, and Neural Networks. All learning is project-based and hands-on to ensure that practical, industry-relevant skills are developed. On successful completion, candidates are awarded a certificate from The University of Texas at Austin.

The last decade was a big one for artificial intelligence but researchers in the field believe that the industry is about to enter a new phase. Hype surrounding AI has peaked and troughed over the years as the abilities of the technology get overestimated and then re-evaluated. The peaks are known as AI summers, and the troughs AI winters. The 10s were arguably the hottest AI summer on record with tech giants repeatedly touting AI's abilities. AI pioneer Yoshua Bengio, sometimes called one of the "godfathers of AI", told the BBC that AI's abilities were somewhat overhyped in the 10s by certain companies with an interest in doing so.

Researchers at Technion and TowerJazz in Israel have recently built a low-power, two-terminal floating-gate transistor that could have useful applications in neuromorphic computing. This transistor, presented in a paper in Nature Electronics, was fabricated using standard single-poly technology and a commercial 180-nm CMOS process. "Our lab usually works on circuits and architectures with emerging devices, such as memristors," Shahar Kvatinsky, one of the researchers who carried out the study, told TechXplore. "The problem with these devices is that they are not commercially available and we can only get them on a small scale and with poor reliability. So usually, we either rely on simulations or on small proofs-of-concept with available devices."

The digital era has brought with it an explosion of communication platforms. From WhatsApp to email, Snapchat to Instagram, live chat to instant messaging; there are many ways we can engage with one another and with organisations. Yet despite – or perhaps because of – this proliferation, brands are facing an increasingly uphill battle to deliver great customer experiences. Too often, the challenge of operating at a global scale is at odds with providing more personalised service. More often than not, there is now a significant disconnect between what brands think they are delivering and what customers expect when comes to their customer experience. Indeed, our research report'The Good, The Bot and The Customer Experience' found that though 80% of senior decision makers in the UK rate their customer service as'excellent', their customers aren't feeling quite the same.