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CI/DC in MLOps by J.B. Hunt

CI/DC in MLOps by J.B. Hunt - Implementing a Framework for Self-Service Experimentation and Deployment at Scale by Wesly Clark and Cara Phillips

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CI/DC in MLOps by J.B. Hunt

  1. 1. CI/CD in MLOps Wesly Clark and Cara Phillips In partnership with Implementing a Framework for Self-Service Experimentation and Deployment at Scale
  2. 2. 2 J.B. HUNT AT-A-GLANCE 400+ locations across U.S., Canada, Mexico, & Asia 17,000+ tractors and ICs 133,000+ trailing units 30,000+ employees $9B trailing 12- month revenue 94,000+ carriers 59-year legacy as a leader in the transportation and logistics industry
  3. 3. WE HELP Organizations understand how emerging digital technologies can enable new business models and transform existing one Intelligent Applications AI & Machine Learning Internet of Things BI & Big Data WE BRING Deep expertise across the Microsoft data analytics, application development and productivity platforms to enable new ways of work Recent Case Studies WE DELIVER Engagements to help organizations accomplish their business goals Projects Strategy Training Quick Starts Design Sprints Managed Services WE BUILD Solutions that help transform organizations through improved insight and productivity artisconsulting.com 972.702.9500 artis_info@artisconsulting.com Business Intelligence Big Data AI & Machine Learning Intelligent Applications Power Apps IoT Founded in 2002, Artis Consulting is a professional services firm dedicated to delivering technology solutions that provide the right information, to the right person, at the right time.
  4. 4. PRESENTATION AGENDA J.B. HUNT TRANSPORT • Mission Statement • MLOps Lifecycle • Motivating Values/Concepts • Architecture Diagrams • Clusters and Libraries Tech Demo • Job Deployment Tech Demo • Recap
  5. 5. Creating the most efficient transportation network in North America Mission Statement: Augment Analysis Empower Expertise Remove Redundancy Automate Action Detect Direction Predict Possibilities
  6. 6. MLOps High Level Lifecycle ML Environment Creation Data Analysis Feature/Model Selection Model Registration Experimentation/ Monitoring Job Deployment/ (Re)Training Model Deployment/ Serving Data Expectations/ Feature Store Data Collection/ Ingestion Continuously Develop/Iterate Models
  7. 7. Motivating Values/Concepts Predictable Repeatable Automated Clearly Defined Environments Secure/Self-Service Platform and Cloud Agnostic
  8. 8. Framework Architecture Diagrams
  9. 9. PRESENTATION AGENDA J.B. HUNT TRANSPORT • Mission Statement • MLOps Lifecycle • Motivating Values/Concepts • Architecture Diagrams • Clusters and Libraries Tech Demo • Job Deployment Tech Demo • Recap
  10. 10. THANK YOU

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