pymc-in-prod

Presentations/amld_2025/amld_2025.html

@@ -223,6 +223,7 @@ <h2>Outline</h2>
 <li>Budget Optimization and Simulations</li>
 <li>Time-varying parameters (baseline and media effects)</li>
 <li>Lift test calibration through custom likelihoods</li>
+<li>PyMC-Marketing in production</li>
 </ul>
 </div>
 </div>
@@ -500,6 +501,13 @@ <h2>Budget Optimization</h2>
 <p><a href="https://www.pymc-marketing.io/en/latest/notebooks/mmm/mmm_allocation_assessment.html">Budget Allocation Risk Assessment with PyMC-Marketing</a></p>
 </div>
 </section>
+<section id="pymc-marketing-in-production" class="slide level2">
+<h2>PyMC-Marketing in Production</h2>
+
+<img data-src="amld_2025_files/static/images/mmm-autolog-artifacts.png" class="quarto-figure quarto-figure-center r-stretch" width="1000"><div class="footer">
+<p><a href="https://github.com/wd60622/pymc-mlflow-example/tree/main">PyMC-Marketing - MLflow Example</a></p>
+</div>
+</section>
 <section id="thank-you" class="slide level2" data-background-image="amld_2025_files/static/images/logos/pymc-labs-black.jpg">
 <h2>Thank You!</h2>
 <h4 id="juan.orduzpymc-labs.com"><a href="mailto:[email protected]">[email protected]</a></h4>

Presentations/amld_2025/amld_2025.qmd

@@ -37,6 +37,7 @@ format:
 - Budget Optimization and Simulations
 - Time-varying parameters (baseline and media effects)
 - Lift test calibration through custom likelihoods
+- PyMC-Marketing in production
 :::
 
 ## What is Media Mix Modeling (MMM)?
@@ -305,6 +306,14 @@ Unobserved confounders can bias the ROAS estimates and lead to wrong marketing s
 [Budget Allocation Risk Assessment with PyMC-Marketing](https://www.pymc-marketing.io/en/latest/notebooks/mmm/mmm_allocation_assessment.html)
 :::
 
+## PyMC-Marketing in Production
+
+![](amld_2025_files/static/images/mmm-autolog-artifacts.png){fig-align="center" width="1000"}
+
+::: footer
+[PyMC-Marketing - MLflow Example](https://github.com/wd60622/pymc-mlflow-example/tree/main)
+:::
+
 ## Thank You! {background-image="amld_2025_files/static/images/logos/pymc-labs-black.jpg"}
 
 #### [[email protected]](mailto:[email protected])