The United States Geological Survey confirmed with the Center for Data Innovation over email on July 22, 2019, that "1-meter DEMs are available or in progress for 45% of the country."

SANTA CLARA, CA – Micro Focus (LSE: MCRO; NYSE: MFGP) today announced the general availability of Service Management Automation X (SMAX) 2019.05. SMAX is the first application suite for Enterprise Service Management and IT Service Management built on machine learning and analytics, powered by an embedded CMDB and Discovery to help drive down costs and speed up time to resolution. Built-in best practices are quickly and easily configured and extended in an entirely codeless way with the SMAX Studio enabling customers to achieve faster time to value. The scalable, multi-tenant cloud-native solution delivers significantly lower cost of ownership and enables customers to deploy on their choice of public or private cloud. SMAX is also available as-a-service by Micro Focus partners worldwide.

Artificial intelligence (AI) technologies and deployments are becoming even more widespread, thanks to a combination of growing amounts of data, faster processing power, and increasingly powerful algorithms. Indeed, as AI technologies make their way into virtually every industry, enabling machines to speak, listen, move, and make decisions in unprecedented ways, a wide range of use cases are illustrating the potential business opportunities, attracting new investment, and driving changes to existing business processes. According to a new report from Tractica, AI implementations now encompass 258 discrete use cases, and the worldwide market for AI software stands at $8.1 billion as of the end of 2018, a figure the market intelligence firm forecasts to rise to $105.8 billion annually by 2025. "The AI opportunity spans a wide range of industries and geographies, from advertising and automotive, to transportation and telecommunications," says principal analyst Keith Kirkpatrick. "A significant portion of the overall revenue is concentrated in highly domain-specific markets with high-volume data needs and ontologies, as well as those with growing applications for machine perception."

Utilities and energy retailers from across the globe will gather at the exclusive Bidgely Engage 2019 conference under the banner of'Unlock the Power of UtilityAI ' this September 11-13 in Napa, Calif. Engage 2019 is utility artificial intelligence (AI) leader Bidgely's third annual event that brings together utilities, AI experts and tech leaders to discuss trends, best practices and lessons learned in applied AI for the energy industry, as well as to enjoy networking in California's legendary wine country. This press release features multimedia. "For Engage, we pull in industry luminaries and tech leaders from outside the energy space to learn from their AI journeys and to explore how AI and machine learning advancements specifically for energy is delivering compounding benefits to utilities around the world," said Bidgely CMO Gautam Aggarwal. The shift of AI becoming mainstream in the energy industry was recently cited in a report by Navigant Research, covering how the future of utilities will be driven by the emerging disciplines of machine learning and artificial intelligence.

DUBAI (Reuters) - China's Neolix has signed a preliminary agreement with Middle East e-commerce company noon to trial autonomous vehicles in Saudi Arabia and the United Arab Emirates. Neolix will build driverless vehicles customised to the region's weather conditions, where temperatures can soar above 50 degrees Celsius in the summer, noon said in a statement on Tuesday. Noon, a joint venture between Saudi Arabia's sovereign Public Investment Fund and Dubai billionaire Mohamed Alabbar, will focus on'last mile delivery' of the vehicles in select areas of Abu Dhabi and Dubai over the next few weeks, the company added. It did not give trial dates for Saudi Arabia. Neolix and noon signed the agreement during the state visit of Emirati crown prince Mohamed bin Zayed al-Nahyan to China.

CHICAGO & LONDON--(BUSINESS WIRE)--Arturo, the artificial intelligence and deep-learning property analytics start-up, today announces it has entered into a partnership with UK-based global specialty (re)insurer Canopius AG ("Canopius"). Arturo's deep-learning property analysis capability will be integrated into Canopius, providing physical property characteristic and predictive analytics, enabling more informed and differentiated pricing decisions at the point of underwriting Marek Shafer, chief digital officer, Canopius, said: "Arturo's, AI-powered image analytics capability is hugely impressive. Canopius is excited to be harnessing this pioneering technology, which will help to fine-tune our risk selection process and improve point-of-sale underwriting." John-Isaac Clark, CEO at Arturo said: "Arturo was built from the ground up within American Family Insurance and we deeply understand the specific challenges our insurance customers are trying to solve. We are incredibly excited to announce our relationship with Canopius and looking forward to working together to further enhance our product to meet their current and future needs."

Cerner Corporation (NASDAQ: CERN), a global health platform and technology company, today announced a multi-faceted, strategic collaboration with Amazon Web Services, Inc. (AWS), an Amazon.com As part of this agreement, Cerner is naming AWS its preferred cloud provider. This expanded relationship is expected to power enhanced clinical experiences, increase efficiencies by lowering operational burdens for health care organizations and accelerate Artificial Intelligence (AI), Machine Learning (ML) and other cutting-edge innovations thereby advancing better patient health outcomes. "Our work with Amazon and AWS is a key component for the next chapter at Cerner," said Brent Shafer, chairman and CEO, Cerner. "As we work to transform Cerner, we are joining forces with Amazon and AWS to help fuel our strategy of making Cerner more agile in order to deliver faster, more scalable and secure solutions to clients and patients. We expect this collaboration with Amazon and AWS will enable a new wave of innovation that can lead and transform the future of health care."

SpendEdge, a leading provider of procurement market intelligence solutions, has announced the completion of their latest article on the impact of AI in procurement functions. This press release features multimedia. Artificial intelligence possesses the potential to support key businesses processes and procurement is no exception. It can improve the forecasting accuracy of end-customer demand for finished goods and material requirements by improving the efficiency of procurement organizations. Also, the use of AI in procurement can help optimize resources, develop pricing initiatives, and transform every single business function.

According to the new market research report "Quantum Computing Market by Offering (Systems and Consulting Solutions), End-User Industry, and Geography; QCaaS Market by Application (Optimization, Machine Learning, and Material Simulation) and Geography - Global Forecast to 2024", published by MarketsandMarkets, the Quantum Computing Market is expected to grow from USD 93 million by 2019 to USD 283 million by 2024; it is estimated at a CAGR of 24.9%. Whereas, the market for QCaaS is expected to grow from USD 4 million by 2019 to USD 13 million by 2024 at a CAGR of 26.8%. The need for robust computing that has the potential to overcome complexities involved in cancer-specific drug discovery and in evaluating portfolio risk is a major factor contributing to the market growth. Quantum computing is used for material simulation in various industries, such as healthcare, automotive, entertainment, banking and finance, and defense. Companies such as D-Wave Systems Inc. (Canada), 1QB Information Technologies Inc. (Canada), and QxBranch, LLC (US) are working toward providing a platform to enhance the availability, usability, and accessibility of quantum computers in the material simulation applications.

Pittsburgh Health Data Alliance (PHDA) announced today that it is working closely with Amazon Web Services (AWS), an Amazon.com A unique consortium formed four years ago by UPMC, the University of Pittsburgh and Carnegie Mellon University (CMU), the PHDA uses the "big data" generated in health care -- including patient information in the electronic health record, diagnostic imaging, prescriptions, genomic profiles and insurance records -- to transform the way that diseases are treated and prevented, and to better engage patients in their own care. New machine learning technologies and advances in computing power, like those offered by Amazon SageMaker and Amazon EC2, are making it possible to rapidly translate insights discovered in the lab into treatments and services that could dramatically improve human health. Through the AWS Machine Learning Research sponsorship, PHDA scientists from both Pitt and CMU expect to accelerate research and product commercialization efforts across eight projects, including those with the potential to create an individual risk score for every cancer patient, thus enabling doctors to better predict the course of a person's disease and response to treatment; use a patient's verbal and visual cues to diagnose and treat mental health symptoms; and reduce medical diagnostic errors by mining all the data in a patient's medical record. Data are secure, anonymized and stay with PHDA institutions.