PyMC-Marketing Yearly Catch-up & New Use Cases


Details
ποΈ Speaker: Niall Oulton, Carlos Eduardo Trujillo Agostini | β° Time: 17:00 UTC / 9:00 am PT / 12:00 pm ET / 6:00 pm Berlin
As the year draws to a close, it's time to reflect on the remarkable journey of PyMC-Marketing. We've witnessed significant advancements with the addition of several new features, and now, our users are beginning to harness their potential.
Join us on this special occasion, for an immersive experience. We're excited to present a live demo, meticulously designed to showcase a selection of compelling use cases. These cases are not just theoretical constructs; they are real-world applications demonstrated by actual users of PyMC-Marketing. Witness firsthand how our platform has been instrumental in their success.
To add more substance to our session and ensure it's not just informative but also engaging, we've planned a unique segment featuring the new GPT model developed by Niall. The new GPT will be the most powerful assistant to create MMM models.
Don't miss this opportunity to delve into the world of PyMC-Marketing, discover new use cases, and explore the ease of using GPT for your MMM models. We promise you an event filled with learning, interaction, and innovation.
Looking forward to an insightful and invigorating session with you!
π Outline of Talk / Agenda:
- 5 min: Intro to PyMC Labs and speakers
- 45 min: Presentation, panel discussion
- 10 min: Q&A
πΌ About the speaker:
- Niall Oulton
Niall Oulton has built a reputation as a leading expert in the field of marketing analytics, with a specialization in Bayesian Marketing Mix Modelling. His career, spanning over a decade, has seen him on both sides of the business landscape - agency and client. His rich background provides him with a unique perspective, making him an expert in understanding and navigating the complexities of both worlds.
Previously, Niall played an integral role in the development and deployment of an entire Bayesian MMM workflow at a global agency. This experience enabled him to gain valuable insight into the potential risks, benefits and pitfalls of in-housing a marketing effectiveness measurement programme.
π Connect with Niall:
π LinkedIn: https://www.linkedin.com/in/nialloulton20/
π Twitter: https://twitter.com/niall20
π GitHub: https://github.com/nialloulton
π Website: https://1749.io/
- Carlos Eduardo Trujillo Agostini
Carlos, a seasoned marketing scientist with international experience, has built a career pushing the boundaries of traditional marketing strategies. Now, at Bolt, he's leading the evolution of their Marketing Mix Modeling through the innovative use of PyMC, demonstrating the transformative power of data-driven decision making in the marketing realm
π Connect with Carlos:
π GitHub: https://github.com/cetagostini
π Linkedin: https://linkedin.com/in/cetagostini
πΌ About the Host:
- Dr. Thomas Wiecki (PyMC Labs)
Dr. Thomas Wiecki is an 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 consultancy. He did his PhD at Brown University studying cognitive neuroscience.
π Connect with Thomas Wiecki:
π Website: https://www.pymc-labs.com/
π GitHub: https://github.com/twiecki
π Twitter: https://twitter.com/twiecki
π Blog posts: https://twiecki.io/
π Code of Conduct:
Please note that participants are expected to abide by PyMC's Code of Conduct.
π Connecting with PyMC Labs:
π₯ LinkedIn: https://www.linkedin.com/company/pymc-labs/
π¦ Twitter: https://twitter.com/pymc_labs
π₯ YouTube: https://www.youtube.com/c/PyMCLabs
π€ Meetup: https://www.meetup.com/pymc-labs-online-meetup/

PyMC-Marketing Yearly Catch-up & New Use Cases