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HASHMAP SOLUTION PROFILE

MULTINATIONAL ENERGY COMPANY

Bringing MLOps Best Practices to Data Science Projects in Azure

CHALLENGE
  • Accelerate time to delivery for data science solutions to go from POC to production 

  • Provide robust and practical ML engineering solutions to demonstrate value to the business

  • Adapt continuously evolving industry best practices in the data science space

OUTCOME
  • Comprehensive guidance and best practices patterns, templates, and guidebooks for data scientists to go from experimentation to POC to production

  • Formalized the technology stack allowing data scientists to stay within the comfort of Jupyter notebooks and yet provide robust well-engineered integrable solutions

  • Productionized ML models on Azure including live integration with on-prem as well as cloud data source

APPROACH
  • Jointly develop ML processes and playbooks for data scientists and data engineers to utilize ML best practices

  • Design and deploy processes to cultivate and formalize communication between data engineers and data scientists

SOLUTION
  • AzureML & Azure Databricks

  • Azure Event Hubs & Azure Blob Store

  • Azure Power BI

  • Azure DevOps & Ansible

  • Hashmap Consulting Services: Data & Cloud Strategy & Modernization, AI & Data Science Strategy & Advisory Services, Solution and Technology Guidance and Assessments, Cloud Optimization and Management, MLOps Engineering, Cloud Automation

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