2026-09-14 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.
2026-08-28 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.
2026-04-24 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...
2026-04-10 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.
2025-11-11 As clinical trials grow increasingly complex, life sciences organizations must streamline operations to stay competitive. Robotic process automation (RPA) can modernize outdated workflows, bridge disconnected systems and reduce reliance on manual processes in clinical supply chains.
2025-11-04 Enterprise AI is about bringing advanced AI technologies into large organizations to drive business value. When applied at scale, enterprise AI helps organizations work smarter, respond faster, and create new opportunities, while building trust and resilience for the future.
2025-06-25 How digital leaders are accelerating, and why others need support to catch up.
2025-06-04 The vendor-neutral archive (VNA)-centric, deconstructed PACS architecture offers improved flexibility, scalability, and cost-efficiency—key advantages in today’s fast-evolving healthcare landscape.
2024-07-04 Conversations at BIO centered around the integration of AI in drug discovery. The key decision facing project teams across the industry is clear: embracing AI to accelerate and revolutionize drug development is the key to future success.