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Bridging the Gap in Stakeholder Value Delivery in your ML deployment

Joy Joseph · Managing Partner, Syneractiv

Check this 10-minute read on how to better align your ML project to stakeholder value. Most ML projects under-deliver on stakeholder value delivery by ignoring some basic steps that should be included in the Stakeholder Requirements Document, which is basically the remit given by the project sponsor to the MLOps team on what needs to be delivered.

6 fairly intuitive steps that can ensure your ML project delivers on-budget, on-time and on-target.
1. Stakeholder Analysis, 2. Define Project Goals, 3.Requirements and Use Cases, 4. Final Scope and Timeline, 5. Define Model Metrics & Output, 6. Fail-safe and Trouble-shooting Protocols

Read the full white paper here.

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We help healthcare marketers make decisions they can defend with evidence

Audience strategy, pathway validation, and causal campaign measurement. Most analytics firms measure campaigns after the fact. We help design them to answer the question in the first place.

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