# 🚀 Let's Build a Bayesian SaaS Product! | 6th Dec, 17:30 UTC

**URL:** <https://discourse.pymc.io/t/lets-build-a-bayesian-saas-product-6th-dec-17-30-utc/13364>\
**Category:** Events\
**Created:** [November 24, 2023, 5:23pm UTC](https://discourse.pymc.io/t/lets-build-a-bayesian-saas-product-6th-dec-17-30-utc/13364 "2023-11-24T17:23:25Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![purna135](https://yyz2.discourse-cdn.com/flex036/user_avatar/discourse.pymc.io/purna135/32/4895_2.png) [@purna135](https://discourse.pymc.io/u/purna135)\
**Post date:** [November 24, 2023, 5:23pm UTC](https://discourse.pymc.io/t/lets-build-a-bayesian-saas-product-6th-dec-17-30-utc/13364/1 "2023-11-24T17:23:25Z")

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![Pavel & Matthew (1)](https://canada1.discourse-cdn.com/flex036/uploads/pymc3/original/2X/8/88ea4ae474ca4a4f389a170fb6afb8e190c97498.jpeg)

Explore the Power of Bayesian Modeling with [Matthew Johnston](https://www.linkedin.com/in/matt-johnston-5a53672), [Pavel Knorr](https://www.linkedin.com/in/pavel-knorr/), and [Tomas Capretto](https://www.linkedin.com/in/tom%C3%A1s-capretto-a89873106/).

**Date & Time:** 2023-12-06T17:30:00Z  
**Host:** [Dr. Thomas Wiecki](https://www.pymc-labs.com/)  
**Register for Zoom link:**

> **[Unleashing Bayesian Modeling in Modern Market Research Problems, Wed, Dec 6,...](https://www.meetup.com/pymc-labs-online-meetup/events/297374390/)**
>
> \*\*🎙️ Speaker: Matthew Johnston\\, Pavel Knorr\\, Tomas Capretto \\| ⏰ Time: 17:30 UTC / 9:30 am PT / 12:30 pm ET / 6:30 pm Berlin\*\*
> 
> Bayesian Hierarchical Modeling has been a

Bayesian hierarchical modeling has been a staple in the world of discrete choice models for decades. During this time, the scientific community has generated countless research papers and developed numerous tools and libraries (with around 99% of them written in R) to tackle common market research questions by constructing classical models using HBayes and MCMC.

However, in today’s fast-paced commercial landscape dominated by cloud-based solutions, startups, and SaaS, many of these traditional solutions and libraries are falling short. Users often encounter challenges related to technical integration, licensing restrictions, and more. In this webinar, we’ll take you through our journey in building a Bayesian SaaS product. Shedding light on the pain points we’ve experienced: data collection and encoding, model result interpretation, and performance issues We will try to explain why, in this evolving landscape, PyMC emerges as the singular, user-friendly solution that bridges the gap between complex Bayesian modeling and practical usability.

**📜 Outline of Talk / Agenda:**

- 5 min: Intro to PyMC Labs and speakers
- 45 min: Presentation, panel discussion
- 10 min: Q&A

## About the speaker:

1. **Matthew Johnston (Founder and CEO at the EPIC Conjoint)**

2. **Pavel Knorr (CTO at the EPIC Conjoint)**

3. **Tomas Capretto (Principal Data Scientist at PyMC Labs)**

## About the Host:

1. **Dr. Thomas Wiecki (PyMC Labs)**

**📖 Code of Conduct:**  
Please note that participants are expected to abide by [PyMC’s Code of Conduct.](https://github.com/pymc-devs/pymc/blob/main/CODE_OF_CONDUCT.md)