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Deploy AI/ML Solutions

Design, build, deploy and manage Advanced Analytics applications.

  1. Plan
    • Identify use case and the outcome, Define scope and success criteria
    • Identify the target area, either from pre-defined industry use cases or from a company specific pain point
    • Identify data sources, Review data dictionaries, making sure the data aligns with use case requirements
    • Confirm understanding of current data pipeline, tools & architecture
    • Deliver a project plan
  2. Build
    • Execute the Data & AI process and develop the solution
    • Data engineering to assemble, clean, normalize, cleanse and consolidate
    • Iterate over augmented intelligence to ensure data quality SLAs are met
    • Build the use case using EazyML UI and/or API or the Analytics toolset. Ensure that the SLAs for insights confidence score and/or model performance are met
    • Weekly cadence and Readouts
  3. Operate
    • Review KPIs, Identify success/risk factors for rollout
    • Deliver and review operation plan with Customer IT (op-prem, cloud)
    • Assist Customer IT w/implementing the operation plan
    • Provide user training, assist w/UAT
    • Actively manage & run the programs
    • Continuous monitoring and support