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Ferrovial (FRRVY) is a global infrastructure operator focused on sustainable solutions. With operations in 15+ countries and over 24,000 professionals, Ferrovial is committed to developing AI solutions like Quercus in partnership with DXC Technology and Microsoft. Quercus aims to accelerate Generative AI adoption across industries by offering technical components for data security, integration, and coordination. This collaboration marks a milestone in AI-supported business services, promising to revolutionize technology solutions in the field of Generative AI.
FAQ
What is Ferrovial's core business?
Ferrovial is a global infrastructure operator focused on developing sustainable solutions.
What is Quercus and how does it aim to accelerate Generative AI adoption?
Quercus is a platform developed in collaboration with DXC Technology and Microsoft, offering technical components for data security, integration, and coordination to scale AI solutions.
How does Ferrovial plan to roll out the Quercus technology?
Ferrovial expects to implement the Quercus technology in dozens of cases to optimize processes, generate designs, simplify applications for worker health and safety, and improve operations.
What role does DXC Technology play in the development and commercialization of Quercus?
DXC Technology will drive the evolution, maintenance, and commercialization of the Quercus platform for third parties from its AI Centre of Excellence in Santiago de Compostela.
How does Microsoft contribute to the Quercus platform?
Microsoft's technology base will support the expansion and versatility of the Quercus platform, benefiting companies that decide to use it.
What benefits does the Quercus platform offer to businesses?
The Quercus platform enables companies to reduce the time associated with creating new AI solutions, with the first version already offering a marketplace of Generative AI solutions.
What are the key principles guiding the deployment of AI solutions by Microsoft?
Microsoft emphasizes critical aspects such as security, privacy, reliability, fairness, inclusiveness, accountability, and transparency in designing and deploying AI solutions.