Intelligent automation

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Steve Sousa
Steve Sousa

Revolutionizing healthcare: Navigating the opportunities and challenges of AI integration

March 1, 2024 Governments around the globe are issuing rules and frameworks for responsible artificial intelligence (AI) development and deployment. In the U.S., the landmark Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence underscores the imperative to ensure the safety and security...

CGI announces today that National Bank of Canada has renewed its partnership with CGI for 10 years. CGI will deliver a wide range of technology services and market-leading solutions to help the Bank further enhance its client experience and drive...

Responding to constituents’ questions regarding their health and safety is a top priority for government agencies around the world. Drawing upon a long-term partnership with the British Columbia Ministry of Health, CGI collaborated with Google and five provincial government agencies...

Diane Gutiw
Diane Gutiw

Embracing responsible AI in the move from automation to creation

August 31, 2023 As a data scientist and AI practitioner, I am excited to see so many positive AI use cases happening and being leveraged to bring quick information and insights to experts and business people – the potential of the rapidly evolving...

In his June 7, 2023, Smart Industry article, “What is data fabric and how can it unleash the full power of AI,” Doug Vargo writes that a challenge hindering AI adoption is having unclear, unstructured and unconnected data.

CGI has been selected by the Finnish Food Authority to continue developing and maintaining the Finnish Land Parcel Identification System (FLPIS), which supports the calculation of national and European Union farm subsidies paid by the Finnish Food Authority.

Brad Schoffstall
Brad Schoffstall

Three strategies for health data interoperability success

April 25, 2023 Government and commercial health organizations realize that being data driven leads to better decisions and more impactful outcomes. It is critical for quality care, and is directly dependent on the interoperability of health data.