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HASHMAP SOLUTION PROFILE
MULTINATIONAL ENERGY COMPANY
Bringing MLOps Best Practices to Data Science Projects in Azure
CHALLENGE
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Accelerate time to delivery for data science solutions to go from POC to production
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Provide robust and practical ML engineering solutions to demonstrate value to the business
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Adapt continuously evolving industry best practices in the data science space
APPROACH
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Jointly develop ML processes and playbooks for data scientists and data engineers to utilize ML best practices
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Design and deploy processes to cultivate and formalize communication between data engineers and data scientists
OUTCOME
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Comprehensive guidance and best practices patterns, templates, and guidebooks for data scientists to go from experimentation to POC to production
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Formalized the technology stack allowing data scientists to stay within the comfort of Jupyter notebooks and yet provide robust well-engineered integrable solutions
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Productionized ML models on Azure including live integration with on-prem as well as cloud data source
SOLUTION
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AzureML & Azure Databricks
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Azure Event Hubs & Azure Blob Store
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Azure Power BI
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Azure DevOps & Ansible
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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