Prerit Shah

Prerit Shah

Product Manager - AI Platforms, MLOps and Data Science Equinor

Highly experienced AI product manager, data science leader & MLOps architect with strong technical and leadership skills. Possess strong passion for extracting business value from cutting edge ML solutions and improving AI infrastructure/capabilities.

As a Product Manager, driving rapid adoption of AI/ML, developing MLOps best practices, managing infrastructure, applications and deployments of AI/ML solutions on Kubernetes/Kubeflow/AzureML MLOps platforms to leverage business value and reduce cycle time from experimentation to deployment.

Multiple years of experience in leading teams and projects to extract business value through data science, machine learning, statistical analysis, optimization and controls in the Oil & Gas, Energy and Aerospace industry.

Main Conference Day 2 - February 25, 2026

1:20 PM Panel Discussion: Building Better Workers: Developing an AI Workforce Strategy

Preparing your organization for AI is where change management and technology mix. How can you create a culture that is ready for and embraces AI? Furthermore, how can you engage your employees of all skill levels in the use of AI? This panel will explore the strategic workforce priorities required to maximize the value of AI.

  • Establishing standard ways of working with AI through internal connectivity and collaboration
  • Building implementation strategies that account for your diverse workforce talents, resources and challenges
  • Pathways to maximize buy-in and adoption, how can you create a culture that embraces AI?
  • Ensuring AI readiness through change management initiatives and robust workforce training programmes 

Check out the incredible speaker line-up to see who will be joining Prerit.

Download The Latest Agenda