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PyMC Labs: The Bayesian Consultancy

PyMC is a probabilistic programming library for Python that allows users to fit Bayesian models using a variety of numerical methods, most notably Markov chain Monte Carlo (MCMC) and variational inference (VI). Its flexibility and extensibility make it applicable to a large suite of problems. Along with core model specification and fitting functionality, PyMC integrates with ArviZ for exploratory analysis of the results.

In this Meetup we will discuss topics related to PyMC, statistics, Python, Bayesian Analysis, to name a few.

We also will discuss use cases of PyMC in the business world.

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Contact
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If your company uses PyMC and would like to share about it with our community, please email us: info@pymc-labs.com

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PyMC Labs
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Website: https://www.pymc-labs.com
YouTube: https://www.youtube.com/c/PyMCLabs
LinkedIn:ย  https://www.linkedin.com/company/pymc-labs/
Twitter:ย  https://twitter.com/pymc_labs

PyMC Open Source: https://www.pymc.io/

Ask Your MMM Anything: How Agentic AI Puts Stakeholders in the Driver's Seat

Ask Your MMM Anything: How Agentic AI Puts Stakeholders in the Driver's Seat

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Online
Online

๐ŸŽ™๏ธ Speakers: Thomas Wiecki, PhD, Luca Fiaschi, PhD, and Andy Heusser, PhD | โฐ Time: 15:00 UTC / 8:00 AM PT / 11:00 AM ET / 5:00 PM Berlin

You've built a rigorous marketing mix model. And yet, when your marketing director needs to know what happens if she shifts 15% of TV budget to digital before Thursday's planning meeting, she files a ticket and waits. The bottleneck isn't model quality. It's model access.

In this session, we explore how agentic AI creates a new layer between predictive models and the people who need them most. We'll introduce the concept of agentic dashboards: conversational interfaces that let marketing directors, brand managers, and analytics leaders explore scenarios in plain language, backed by the same statistical rigor their data science teams built into the models.

You'll see a live demo: a marketing mix model queried in real time through natural conversation, with budget reallocation scenarios, channel performance comparisons, and ROI projections generated on the fly with full uncertainty quantification. No code. No tickets. No waiting.

What will be covered:
โ— The agentic dashboard pattern: Why we believe this is the missing layer between predictive models and business decisions, with MMM as our first case study.

โ— A live MMM demo: Budget reallocation, channel mix, and ROI scenarios run in real time.

โ— A framework for your org: How to evaluate whether your analytics investments are ready for an agentic layer.

๐Ÿ“œ Outline of Talk / Agenda:

  • 5 min: Introduction to PyMC Labs and speakers
  • 40 min: Panel discussion
  • 15 min: Q&A

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๐Ÿ’ผ About the speakers:

Dr. Thomas Wiecki ( Founder of PyMC Labs)
co-author of PyMC, the leading platform for statistical data science. To help businesses solve some of their trickiest data science problems, he assembled a world-class team of Bayesian modelers and founded PyMC Labs - the Bayesian AI consultancy. He did his PhD at Brown University studying cognitive neuroscience.

Connect with Thomas: ๐Ÿ‘‰ Linkedin ๐Ÿงฉ Github

Dr. Luca Fiaschi (PyMC Labs Partner, Gen AI Vertical)
Luca helps organizations unlock the value of data and AI. With 15+ years of experience, heโ€™s led and scaled teams at Mistplay, HelloFresh, Alibaba, and Stitch Fix, driving breakthroughs in personalization, marketing optimization, and causal modeling. He holds a PhD in Computer Science from Heidelberg University.

Connect with Luca๐Ÿ‘‰ LinkedIn๐Ÿงฉ Github

Andy Heusser, PhD (Principal Data Scientist at PyMC Labs)
Andy Heusser is a data scientist with 16 years of experience, spanning academic memory modeling to leading Akili Interactiveโ€™s data science team. He earned his PhD in Cognitive Neuroscience from New York University and later completed a Postdoctoral Fellowship at Dartmouth College, where he deepened his expertise in computational modeling and human behavior.

Connect with Andy: ๐Ÿ‘‰ Linkedin ๐Ÿงฉ Github
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๐Ÿ“– Code of Conduct:
Please note that participants are expected to abide by PyMC's Code of Conduct.

Connecting with PyMC Labs:
๐ŸŒ Website: https://www.pymc-labs.com/
๐Ÿ‘ฅ LinkedIn: https://www.linkedin.com/company/pymc-labs/
๐Ÿฆ Twitter: https://twitter.com/pymc_labs
๐ŸŽฅ YouTube: https://www.youtube.com/c/PyMCLabs
๐Ÿค Meetup: https://www.meetup.com/pymc-labs-online-meetup/
๐ŸŽฎ Discord: https://discord.gg/MARSCNemw3

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