September 14, 2026 Scaling AI requires clear cost governance. By connecting AI consumption to business ownership, use cases and expected outcomes, leaders can improve spending visibility, strengthen accountability and make more informed investment decisions.
August 28, 2026 Digital reengineering has become a strategic priority. Rather than pursuing large-scale replacement programs, organizations are increasingly focused on selectively modernizing the capabilities that unlock agility, resilience and long-term value.
Part of the CGI Industry Foresights series, this video explores how AI, connected data and intelligent prediction models are reshaping the future of health & life sciences.
April 24, 2026 Health and life sciences organizations are no strangers to transformation. Today, they are navigating a unique moment. Rapid advances in AI, growing pressure on their workforce and resources, and rising expectations for better patient and system outcomes are creating new...
April 10, 2026 Digital transformation in life sciences rarely unfolds at a single pace. In the same organization, one team might deploy advanced AI-driven analytics to predict outcomes in seconds, while another relies on production systems installed decades ago.
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