MACHINE LEARNING OPERATIONS (MLOPS)

Technology Track

The Technology track helps you build and deploy advanced ML models at scale by leveraging the latest MLOps technologies and tools.

We provide a strategic impulse on your current MLOps capabilities and infrastructure, helping you to improve accuracy and performance of your ML models, reduce operational costs and resource wastage, and gain a competitive advantage through advanced ML capabilities.

Maximise your ML Pipeline

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.

Get a detailed report on MLOps capabilities.

Schedule a call

Sourcing a MLOPS platform

Select the best-suited solution for your needs.

TOOLS & PLaTFORMS

Get relevant MLOps platforms and their capabilities for your needs.

Schedule a call

BUILDING A MLOPS PLATFORM

Plan and support migration for heritage systems.

INTEGRATE

Integrate tools and platforms into your existing workflows and infrastructure.

Schedule a call

Other CI/CD for ML TRACKS

KICK START

Gain a clear direction for advancing your MLOps practice and accelerate your time-to-market for AI/ML initiatives.

BUSINESS

align AI/ML initiatives with business goals and gain a roadmap to optimise workflows.

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Check other tracks.

We understand every organisation has different needs. Explore more options to see where you fit.

MACHINE LEARNING OPERATIONS (MLOPS)

Technology Track

Maximise your ML Pipeline

service deliverables

Capability analysis

Get a detailed report on MLOps capabilities.

Sourcing a MLOPS platform

TOOLS & PLaTFORMS

BUILDING A MLOPS PLATFORM

INTEGRATE

Other CI/CD for ML TRACKS

KICK START

BUSINESS

NOT for you? Check other tracks.

ARE YOU IN?

NOT for you?
Check other tracks.