Allstate deployed Amelia as a test in September and, to date, has used the platform in more than 3 million customer conversations. With an instant message interface, Amelia leads call center employees through step-by-step procedures to help answer a variety of customer questions, including policy and policyholder information. "Amelia is quickly becoming an important component of our customer service strategy," said Allstate Senior Vice President Carla Zuniga. "She provides our call center personnel with the information and procedures they need to address our customers' questions and concerns." Amelia's machine learning capability allows her to improve her ability to answer customer questions by "listening" to interactions she doesn't understand and with Allstate experts' help quickly expanding her knowledge.

SHFAYIM, Israel (Reuters) - Technology that has helped Israel's military drive tanks, guide and intercept missiles, and keep its computer systems secure is being redeployed in the development of driverless cars. Investment from firms seeking access to Israeli expertise in automated driving, much of it gathered by engineers during their conscription, is pouring into startups. U.S. chipmaker Intel, German auto supplier Continental, Samsung, Daimler, Ford Motor Co and GM are among those to have bought startups or set up their own development centers in Israel. Inexperience in car-making, distance from traditional auto centers and competition from other tech sectors for top staff are a challenge for investors. Israeli auto tech startups still raised almost as much as similar U.S. companies last year.

Samsung Electronics Co. Ltd., the Korean-based electronics giant, will open a new artificial-intelligence center in Cambridge, England, as the company seeks to benefit from cutting-edge academic research into the technology. Andrew Blake, a pioneering researcher in the development of systems that enable computers to interpret visual data, and a former director of Microsoft Corp.'s Cambridge Research Lab, will head the new Samsung AI center, the company said Tuesday. The center may hire as many as 150 AI experts, bringing the total number of people Samsung has working on research and development in the U.K. to 400 "in the near future," the company said. U.K. Prime Minister Theresa May said Samsung's new lab would create high-paying, high-skilled jobs. "It is a vote of confidence in the U.K. as a world leader in artificial-intelligence," she said. Samsung said it selected Cambridge because the University of Cambridge is world-renowned for its work on machine-learning and because the city already had a number of other prominent AI research labs, including Microsoft's.

The report expects the global Artificial Intelligence (AI) in construction market to grow from USD 407.2 Million in 2018 to USD 1,831.0 The rising demand for AI-based solutions and platforms, the need for more safety measures at construction sites, and the capabilities of AI solutions and services to reduce the production costs are expected to drive the growth of the AI in construction market. The component segment has been further segmented into solutions and services. The solutions segment is expected to have the larger market size. AI in construction solutions play a vital role in the efficient and effective functioning of construction businesses using Natural Language Processing (NLP); and machine learning and deep learning technologies.

Artificial intelligence refers to the process of machines or computers performing tasks that would otherwise require human intelligence. In order to attain the capabilities to perform those tasks, AI relies on utilizing and processing large amounts of data, or "big data", to learn. As the accumulation of data continues to grow, so does the potential of AI systems. Some estimates hold that the emergence of AI could contribute up to $15.7 trillion to global GDP in 2030 – more than the current output of China and India combined.1 "Given AI's potential to impact a variety of sectors, we believe it is poised to become one of the most significant technological innovations of the modern era," said Alex Ashby, director of product development at Global X. "Our aim with all of our technology-thematic funds is to provide efficient access to the companies leading the charge in the world's most disruptive trends. AIQ seeks to provide investors with exposure to the long-term growth potential of the big data and artificial intelligence theme."

Artificial intelligence (AI) is poised to have a game changing effect on Consumer Products, Business Services, Advertising, Finance & Investment, Media & Entertainment and Defense Applications around the world. According to a research report by Markets and Markets, the global artificial intelligence landscape could reach a value north of $190 billion within the next seven years. AI is asserting itself as a transformative technology that can heavily influence the global economy with trillions in contributions in various subsets of the economy. The most significant factor influencing the explosive growth of this market is the investment by businesses, as leaders across numerous industries are spending billions to develop advanced AI platforms. Active companies in the markets this week include Gopher Protocol Inc. (OTC: GOPH), Microsoft Corporation (NASDAQ: MSFT), Intel Corporation (NASDAQ: INTC), ON Semiconductor Corporation (NASDAQ: ON), Aptiv PLC (NYSE: APTV).

REDWOOD CITY, Calif., May 22, 2018 (GLOBE NEWSWIRE) -- Talend (NASDAQ: TLND), a leader in cloud data integration solutions, has been named to the 2018 CRN Big Data 100 list, a brand of The Channel Company. This annual list recognizes vendors that have demonstrated an ability to innovate in bringing to market products and services that help businesses work with one of the most dynamic, fastest growing segments of the IT industry - Big Data. As a result of Talend's inclusion in the CRN Big Data 100, Solutions Review selected Talend Open Studio for Data Integration and Talend Cloud among its list of "7 Data Integration Tools We Recommend". The data explosion in recent years has fueled a vibrant big data technology industry. Businesses need innovative products and services to capture, integrate, manage and analyze the massive volumes of data they are grappling with every day.

STRATA DATA -- Cloudera, Inc. (NYSE: CLDR), the modern platform for machine learning and analytics optimized for the cloud, today announced new innovations to help businesses operationalize data insights faster by making data scientists and data engineers more productive. New machine learning capabilities make it easier for data scientists to quickly train and deploy models with higher confidence and lower risk. Massive increases in performance, scale and capacity of Cloudera's modern data platform help organizations keep pace with the explosive growth and diversity of data in their business. These new capabilities enable data teams to collaborate more effectively and deliver models to production faster, enabling secure access to enterprise-scale, high-performance data and compute, both on-premises and across public clouds. Click to tweet: NEWS: @Cloudera empowers enterprises to propel their digital transformation with updates to #cloud and #datascience offerings: http://bit.ly/2Izoqjc

The team of specialists at the AI training center will work on developing a range of future capabilities to help increase police efficiency and efficacy, including software to enable vehicle, speech and critical event recognition. Initially, the team will focus on training the AI algorithm for automatic license plate recognition to aid law enforcement in automated data analysis. Today, without the purchase of expensive, specialized hardware, officers must go through the process of manually viewing license plates and physically typing them into a system to match against a database. "Officers spend, on average, two-thirds of each shift sitting behind a keyboard doing paperwork," says Moji Solgi, Axon's Director of AI and Machine Learning. "Our team is applying AI, machine learning and data science to common policing problems and eliminating pain points for agencies, including manual paperwork. The ultimate goal of the AI training center is to help accelerate the introduction of AI-powered capabilities for public safety."

The Basware Assistant uses natural language processing and artificial intelligence to create a new and simplified way for people to interact with Basware's e-procurement solution. They can communicate with the Basware Assistant like they would with a person, to search for orders and purchase requests using vendor and item names, as well as ID and document numbers. By giving people the ability to specify what they are looking, it eliminates the need for having to navigate a series of screens to reach their intended purchase. Through its natural language processing and AI capabilities, the virtual assistant improves system usability, taking another step in streamlining the overall procurement experience. Not only does it help people find purchase orders and order requests more quickly and save them time, it also reduces the training required for new people to buy with Basware.