Many teams adopt EDD, but over time their metrics, tests, and workflows drift out of sync with live systems, evolving models, and agile delivery demands. This workshop focuses on tuning EDD as a living system that remains trusted, effective, and integrated in production environments.
To win, your team must continuously evaluate and adapt EDD implementations so evaluation remains a reliable signal for quality, risk, and delivery decisions.
When EDD practices are not actively tuned, teams encounter predictable breakdowns:
• Stale or misaligned implementations: EDD setups in live environments no longer reflect how systems are actually used or deployed.
• Weak metrics and tests: Evaluation metrics fail to surface meaningful quality, safety, or performance issues as models and data evolve.
• Poor delivery integration: EDD workflows clash with agile cadences and are disconnected from existing QA and DevOps tooling.
These failures erode trust in evaluation, allowing risk and quality regressions to slip into production.
In this hands-on workshop, your team reviews and refines live EDD implementations to keep evaluation effective as systems and models change.
• Review EDD implementation in live environments to identify gaps between intended and actual evaluation coverage.
• Evaluate the effectiveness of existing metrics and tests against current quality and risk goals.
• Fine-tune EDD practices to fit an agile development cadence without slowing delivery.
• Adapt EDD plans as models, prompts, and architectures evolve over time.
• Integrate EDD with existing QA and DevOps tools to strengthen release gating and observability.
- Reviewing EDD Implementation in Live Environments
- Evaluating Effectiveness of Metrics and Tests
- Fine-Tuning EDD for Agile Dev Cadence
- Adapting EDD Plans as Models Evolve
- Integrating EDD with Other QA and DevOps Tools
- Assess whether current EDD practices reflect real system behavior.
- Strengthen metrics and tests to produce clearer experimental signals.
- Align experimentation with fast-moving, agile delivery cycles.
- Adapt EDD strategies as GenAI models and architectures change.
- Integrate experimentation more tightly into QA and DevOps workflows.
Who Should Attend:
Solution Essentials
Virtual or in-person
4 hours
Intermediate
Live EDD implementations, QA frameworks, and DevOps tooling