The Future Is Here: The convergence of machine learning, artificial intelligence, digitalisation and Big Data has enabled predictive maintenance capabilities that were unimaginable just a few years ago. Unlocking this potential requires more than technology — it requires the right tools, the right data ecosystem, and cross-functional collaboration with the people who understand the equipment and how it behaves. In this session, you will learn more about:

• How Takeda has operationalised predictive maintenance globally — and the key lessons learned along the way.
• The strategies, methodologies and change management approaches used to develop and scale Takeda’s Asset Performance Management System (APMS) across functions (Engineering, PMO, Operations and IT).
• A real-life case study demonstrating the practical application and measurable impact of APMS in practice.