September 11, 2024 | International, Aerospace
October 6, 2021 | International, Aerospace
Report: US Army could field two new vertical lift aircraft if service lives within its means
The Army's pursuit to procure two future vertical lift aircraft by 2030 needs to have affordability at the forefront as it executes its programs, the Center for Strategic and Budgetary Assessment says in a new report.
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December 1, 2020 | International, C4ISR
Raytheon and C3.ai announce alliance on artificial intelligence solutions
Andrew Eversden WASHINGTON — Raytheon's intelligence and space business is partnering with C3.ai, a software company known for its predictive maintenance business with the U.S. Air Force, the companies announced Monday. The alliance between C3.ai and Raytheon Intelligence and Space aims to speed up artificial intelligence adoption across the U.S. military. The partnership will pair Raytheon's expertise in the defense and aerospace sector with C3.ai's artificial intelligence development and applications. “The military and intelligence community have access to more data now than any time in history, but it's more than they're able to make quick use of,” said David Appel, vice president of defense and civil solutions for space and C2 systems under Raytheon Intelligence and Space. “Artificial intelligence can be used to help them make sense of that data, which will allow them to make smarter decisions faster on the battlefield. And that's just one of the benefits.” In recent years, C3.ai has positioned itself as a trusted partner of the Air Force, providing predictive maintenance capabilities for the service's E-3, C-5 Galaxy, F-15, F-16, F-18 and F-35 aircraft. The Pentagon's Silicon Valley arm that helped bridge C3.ai into the Pentagon, the Defense Innovation Unit, estimated that the program could save the service $15 billion annually in maintenance funds if it was scaled to the Defense Department's entire aircraft fleet. In January, DIU awarded a five-year, $95 million contract to C3.ai for predictive maintenance. The alliance between the two companies will also focus on helping the intelligence community. “Raytheon and C3.ai are driven by similar purposes: Anticipating and solving our customers' most difficult problems,” said Thomas Siebel, CEO of C3.ai. “Together, we offer an end-to-end enterprise AI platform and mission-tailored applications that will dramatically reduce cost and risk, accelerate adoption and deployment of AI solutions, and scale the impact of AI across any organization.” In September, the Air Force's rapid sustainment office selected C3.ai's C3 AI Suite platform and C3 AI Readiness product to support predictive maintenance across the service's enterprise. “Raytheon and C3.ai represent key partners for the U.S. Air Force, and specifically the Rapid Sustainment Office, in realizing the vision of harnessing AI to transform the military into a digital organization,” said Nathan Parker, deputy program executive officer for the Air Force Rapid Sustainment Office. “Fulfilling this vision of broad implementation requires identifying applicable use cases for AI across the Air Force, rapidly piloting solutions, and scaling successes across our enterprise to accelerate the transformation.” Also on Monday, C3.ai announced that it will be launching an initial public offering. It expects shares to be valued between $31-$34. https://www.c4isrnet.com/artificial-intelligence/2020/11/30/raytheon-and-c3ai-announce-alliance-on-artificial-intelligence-solutions/
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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