How To Benchmark Your Digital Transformation Performance And AI-Readiness

By Sanji Bhal, Director, Marketing & Communications, ACD/Labs

Growing investment trends signal a clear shift: artificial intelligence and machine learning are moving from exploration to expectation in scientific research. Industry data shows increasing prioritization of AI-driven innovation—even as funding for foundational infrastructure declines—highlighting a disconnect between ambition and readiness. While select R&D teams are beginning to apply these technologies in meaningful ways, most organizations remain challenged by fragmented, unstructured data that limits scalability. Bridging this gap requires more than interest or funding—it demands stronger data strategies, integration, and operational alignment. Understanding where the real barriers lie can help scientific teams move from experimentation to everyday impact.

Discover how evolving priorities are reshaping research workflows and what it takes to make AI practical at scale.