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September 23, 2021 | International, Aerospace, Naval, Land, C4ISR, Security

Contracts for September 22, 2021

On the same subject

  • Iranian Hackers Use "Dream Job" Lures to Deploy SnailResin Malware in Aerospace Attacks

    November 13, 2024 | International, C4ISR, Security

    Iranian Hackers Use "Dream Job" Lures to Deploy SnailResin Malware in Aerospace Attacks

    Iran's TA455 hackers target aerospace with fake jobs and SnailResin malware, emulating North Korean tactics.

  • US Defense Department Awards C3.ai $95M Contract Vehicle to Improve Aircraft Readiness Using AI

    January 17, 2020 | International, Aerospace

    US Defense Department Awards C3.ai $95M Contract Vehicle to Improve Aircraft Readiness Using AI

    Redwood City, CA – January 15, 2020 – C3.ai, a leading enterprise artificial intelligence (AI) software provider for accelerating digital transformation, today announced a five-year agreement with the Defense Innovation Unit (DIU) to deliver C3 Readiness for Aircraft™ an AI-based software application that increases the readiness and availability of aircraft to accomplish their missions. Predicting an aircraft subsystem's risk of failure is essential to the U.S. military's fleet readiness. By using machine learning algorithms to monitor high-priority subsystems for risk of failure and predict the requirements for parts at air bases and depots, C3 Readiness for Aircraft shifts the paradigm from reactive to predictive maintenance. C3 Readiness for Aircraft provides a near real time view of aircraft health for each individual tail number. Using C3 Readiness for Aircraft, maintainers can be made available and prepared for work, and operations personnel can ensure that the right parts are available at the right time and at the right locations. With this application, organizations can substantially expand the use of existing aircraft and reduce the cost and time associated with unexpected maintenance. “Each hour an aircraft is grounded costs taxpayers tens of thousands of dollars – and approximately $292 billion of the Pentagon's annual budget is spent on operations and maintenance costs ,” said Ed Abbo‚ President and CTO, C3.ai. “Given these numbers, even a fractional increase in aircraft mission capability can save billions. We look forward to building on our initial success delivering solutions that extend the DoD's competitive advantage and support its ambitious plans to implement artificial intelligence at scale.” Defense Innovation Unit (DIU) is the DoD organization based in Silicon Valley charged with accelerating the adoption of innovative commercial technologies into the U.S. military to strengthen the nation's security. DIU connects customers with leading technology companies to prototype, transition, and field capabilities within 36 months. DoD has made it a priority to address readiness in the FY2020 Budget so that forces meet a minimum standard. Applying AI techniques helps the DoD achieve this objective rapidly in a cost-effective manner. C3.ai has repeatedly demonstrated its capabilities to DIU to significantly improve readiness for several Air Force units. As a result of a number of successful US Air Force implementations, including the E-3 Sentry (AWACS), C-5 Galaxy, F-16 Fighting Falcon, and F-35 Joint Strike Fighter Lightning II aircraft, and expansion to Army Aviation platforms such as UH-60 Blackhawk and AH-64 Apache helicopters, DIU sponsored the current up-to-$95M agreement that allows all the Services and other federal agencies to use C3.ai's software for aircraft predictive maintenance. C3 Readiness for Aircraft operates on the C3 AI Suite™, an integrated software platform that enables organizations to rapidly design, develop, and deploy enterprise-scale AI applications on any public or private cloud environment. The C3 AI Suite allows the DoD to integrate and unify large amounts of fragmented and disparate data, and make those data available for use by machine learning algorithms for insights that improve operations and provide situational awareness. C3.ai's applications are configurable for a variety of capabilities beyond AI predictive maintenance including intelligence data fusion, clearance adjudication, insider threat, improved logistics, supply risk identification, and AI-based operational support. About C3.ai C3.ai is a leading AI software provider for accelerating digital transformation. C3.ai delivers the C3 AI Suite for developing, deploying, and operating large-scale AI, predictive analytics, and IoT applications in addition to an increasingly broad portfolio of turn-key AI applications. The core of the C3.ai offering is a revolutionary, model-driven AI architecture that dramatically enhances data science and application development. Organizations such as Royal Dutch Shell, ENGIE, 3M, and Enel are currently leveraging C3.ai's enterprise software for greater efficiency, productivity, and reliability. Contact: C3.ai Public Relations: April Marks 650-503-2200 pr@c3.ai View source version on C3.ai: https://c3.ai/us-defense-department-awards-c3-ai-95m-contract-vehicle-to-improve-aircraft-readiness-using-ai/ https://www.epicos.com/article/531552/us-defense-department-awards-c3ai-95m-contract-vehicle-improve-aircraft-readiness

  • Airbus livre le premier A330 MRTT à l'OTAN

    June 30, 2020 | International, Aerospace

    Airbus livre le premier A330 MRTT à l'OTAN

    Le premier avion ravitailleur MRTT (Multi Role Tanker Transport, avion militaire de transport et de ravitaillement en français) doit s'envoler ce 30 juin pour la base militaire d'Eindhoven, aux Pays-Bas, depuis l'usine d'Airbus de Getafe, en Espagne. Sous l'égide de l'OTAN il s'agit du premier appareil sur les huit commandés dans le cadre du programme MMF (Multinational MRTT Fleet initiative, en français, l'initiative de ravitaillement en vol) réunissant six pays européens (Allemagne, Pays-Bas, Luxembourg, Belgique, Norvège et République Tchèque). Le contrat, qui lie Airbus Defence and Space et les pays initiateurs du MMF depuis 2016, prévoit la livraison des sept autres appareils d'ici 2024, avec des options portant sur trois appareils supplémentaires. L'Usine Nouvelle du 29 juin 2020

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