Netradyne's advanced artificial intelligence and machine learning technologies are creating deep driver, vehicle and environmental analysis; yielding unique opportunities to create efficiencies in risk identification, data trend analysis and timely payment of insurance claims. Their robust commercial fleet platform currently captures and analyzes several million driving miles each month and Willis' expertise will allow the company to turn this insightful data into comprehensive offerings insurance companies can use to underwrite and analyze professional drivers across the country. In parallel, Willis will support customers who are actively reducing fleet risk by managing relationships with insurance carriers to provide evidence of improvement. He will also foster relationships with captive program managers to help drive fleet sales growth. "Netradyne is experiencing explosive growth, with new avenues and uses for our technology approach coming to life every day. With this comes a key focus on investing in top talent with expertise in these new industries. Adding Dale to our executive team is a crucial next step in continuing to scale the company," said Sandeep Pandya, president of Netradyne.

BOULDER, Colo.--(BUSINESS WIRE)--Artificial intelligence (AI) has worked its way into a variety of industries, from the obvious (autonomous vehicles) to the hidden (anti-money laundering due diligence). But according to a new report from Tractica, while organizations are clearly recognizing the value associated with incorporating AI into their business processes, they are also encountering a number of challenges with integrating this new intelligence into operational processes. Taking AI beyond the proof-of-concept phase to the enterprise scale will require a significant level of professional services to support large implementations, with key service categories including application integration, support and maintenance, training, customization, and installation. Tractica forecasts that the worldwide market for AI services will grow from $10.1 billion in 2017 to $188.3 billion by 2025. The market intelligence firm anticipates that the industry sectors using the highest levels of professional services to support AI deployments will include business services, consumer, healthcare, advertising, and automotive.

When Trevor McFedries set out last year to raise money for Brud, his robotics and artificial intelligence start-up, he found himself in many meetings with "a ton of white guy" venture capitalists. So Mr. McFedries, who is black, and his co-founder, Sara DeCou, a Latino woman, added a condition for investors: The pair would accept money only from venture firms that had a woman or a person of color in a position to write them a check. "It was counterintuitive for us to raise money from a bunch of white guys who want to extract all the value from the world," said Mr. McFedries, who eventually collected several million dollars from firms that met the condition. "We're interested in reshaping the way that tech looks." Mr. McFedries is one of more than 400 tech entrepreneurs and chief executives who have now banded together, in a loose coalition known as Founders for Change, to pressure the venture capital industry to diversify its ranks.

CARMEL, Ind., March 19, 2018 (GLOBE NEWSWIRE) -- TradeRev, a digital platform that facilitates live, dealer-to-dealer vehicle auctions, announced they will unveil H, the company's newest suite of artificial intelligence capabilities at next week's National Auto Dealers Association (NADA) Show 2018 in Las Vegas. TradeRev is a business unit of global remarketing and technology solutions provider KAR Auction Services, Inc. (NYSE:KAR). H leverages data and technology from across the KAR platform and uses TradeRev's machine learning and proprietary algorithms to deliver clear, easy, actionable intelligence to dealers. At NADA, TradeRev will demo H's AI-driven automated condition report visualization tool and several recently released data and predictive analytics capabilities.

Xiao'ou has used the same practical approach to computation and artificial intelligence that he displayed at MIT to build a highly successful academic and applied research career and a tremendously successful, technologically impressive startup company in SenseTime,

Trondheim, 9 March 2018: The new IoT ProtoLab in Trondheim is opening its doors today for entrepreneurs, scientists and students who want to develop new Internet of Things services and products. The new powerhouse created by Telenor Group and Wireless Trondheim aims to increase innovation, new national competencies and promote competitiveness amongst Norwegian entrepreneurs. "Exactly one year ago we launched Telenor-NTNU AI-Lab and it is a pleasure to announce another technology powerhouse in Trondheim," says Sigve Brekke, Telenor Group CEO. "IoT ProtoLab will be an experimental centre for research and innovation within the Internet of Things. IoT means that data on our physical surroundings are made available in large quanta, which in turn fuels fantastic opportunities for research and innovation within artificial intelligence (AI). Our two labs in Trondheim will be strengthened by each other and will contribute to fostering digital innovation in Norway," adds Brekke.

IBM Corp. today unveiled a new data science and machine learning platform that one executive called "the most significant announcement we've made about data in years." Featuring an in-memory database, a real-time processing engine and the ability to ingest and analyze massive amounts of data, the Cloud Private for Data constitutes an integrated data science, data engineering and application development platform. It's intended for building event-driven applications that can handle "torrents of data from things like internet of thing sensors, online commerce, mobile devices, and more," the company said in a press release. With a combination of features that enables organizations to ingest, transform and analyze streaming data on a single software stack, the engine sits atop Cloud Private, which is IBM's version of the Kubernetes container orchestration platform. Software containers abstract applications away from the underlying hardware, enabling them to run on any computing platform.

TEL AVIV, Israel--(BUSINESS WIRE)--Earnix Ltd, a leading provider of predictive analytics solutions for the financial services industry, today announced the introduction of its Integrated Machine Learning technology, as an enhancement to the existing insurance software suite. This new capability is designed for demanding, high-performance real-time enterprise production systems, and will deliver a new level of market responsiveness and analytical sophistication to insurers. Several Earnix insurance clients have been using an early version of the technology and have seen significant improvements in their results. Analytics has become an arms race, as insurers around the globe seek to become more data-driven by operationalising real-time analytics and monetising new forms of data such as telematics and the Internet of Things (IoT). The addition of Integrated Machine Learning to the Earnix software suite enables users to excel in this environment, producing better and more accurate insights at speeds that only machine learning algorithms can produce.

DUNSTABLE, United Kingdom--(BUSINESS WIRE)--AccelStor, an innovative all-flash array (AFA) provider for the big data era, is excited to announce its participation in the upcoming Cloud Expo Europe, taking place from March 21 to 22 at Booth C1850 in the ExCel London exhibition centre. Besides presenting latest all-flash storage solutions breaking through performance and availability barriers for artificial intelligence (AI), virtualization and private cloud, AccelStor will present a live demonstration of its new generation NeoSapphire high availability models, one of the highlights not to be missed this year. AccelStor NeoSapphire all-flash arrays are highly integrated with virtualization and private cloud platforms, supporting VMware vSphere and OpenStack Cinder. NeoSapphire's "high availability" series features symmetric active-active, clustered shared-nothing architecture (SNA), providing full redundancy and 99.9999% reliability, enabling enterprises to achieve non-disruptive operations effortlessly. In addition, the patented FlexiRemap software technology accelerates data processing and unleashes the true performance of big data workloads with outstanding performance, over 1 million IOPS for 4KB random access.

Pathway Data Science aims to address growing market demand for professional data science and machine learning expertise in Asia. Pathway Data Science ("Pathway"), a newly established data science and machine learning consultancy, today announced the launch of its services in Hong Kong. Based in Hong Kong, Pathway aims to help businesses across the Asia Pacific region achieve higher levels of performance by putting advanced data science tools into application. Core services include advising organizations on processes to become more data-driven, providing new insights on existing data, building intuitive dashboards, developing machine learning models and producing real-life applications that can be seamlessly integrated with clients' proprietary processes. Machine learning techniques make it possible for a computing system to learn from data, answer questions, make predictions, reach conclusions and solve problems without the need to specify an explicit set of rules required to achieve the desired outcome.