MACHINE LEARNING OPERATIONS (MLOPS)

Business Track

The Business track aligns AI/ML initiatives with business goals, delivering recommendations and a roadmap to optimise workflows.

The track provides a comprehensive analysis of the current AI/ML value stream, identifies areas for improvement, and strengthens the strategic impulse for MLOps. Completing the Business track may improve ROI for AI/ML investments.

Streamline your success

Outcome #1

a comprehensive understanding of MLOps best practices

Outcome #2

Possible use cases and initiatives for MLOps adoption

Outcome #3

MLOps capabilities assessment

Outcome #4

a clear roadmap for advancing your MLOps practice

Outcome #5

Establish a strong foundation for future MLOps success

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SERVICE DELIVERABLES

Capability analysis

Assess your current MLOps capabilities to identify strengths and weaknesses across your ML practice.

Get a detailed report on MLOps capabilities.

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VALUE STREAM MAPPING

Map the existing value flow, capture flow metrics, and analyse for bottlenecks.

optimise and automate parts of the pipeline that generate the most value against automation cost