Hyperight

Scaling AI/ML-initiatives for sustained value realisation in heavy asset industry: from dataOps to MLOps – Dr. Abul Fahimuddin, former Equinor

Bookmark

Premium content

Login or register to unlock the content

Session Outline

Securing value realization from digital initiatives require symbiotic and concurrent implementation of cloud-based AI/ML applications and seamless coupling within DataOps and MLOps software frameworks. In this session, I would like to share “hands-on” experiences and learnings from scaling of a domain agnostic AI- application across business units within a leading energy company.

Key Takeaways

  • Without scaling, deployment of AI/ML-applications have limited value realization
  • Existing business processes need to be updated to reflect “new ways of working”
  • DataOps, cyber security and MLOps have to be part of the “equation”

Add comment