talk-data.com

🎙️ Speaker: William Dean\, Corey Abshire\, Thomas Wiecki \| ⏰ Time: 5 PM UTC / 9 AM PT / 12 PM ET / 6 PM Berlin

In this event, we will discuss how customers can use Databricks to develop and productionize MMM models for their companies. By combining Databricks capabilities in consolidating, organizing and securing data pipelines and manage ML models and pipelines with PyMC-Marketing’s easy to use modelling capabilities, companies can bring develop sophisticated MMM models to help understand, optimize and forecast their marketing budgets.

📜 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. Corey Abshire, Senior AI Specialist Solutions Architect, DataBricks Corey Abshire is a Senior Specialist Solutions Architect focused on GenAI and ML in Communications, Media and Entertainment. Prior to Databricks, Corey was a Principal Machine Learning Engineer at Cummins Inc., working on critical data science and machine learning initiatives for quality, engineering, and manufacturing. He holds an M.S. in data science from Indiana University in Bloomington, IN.

🔗 Connect with Corey: 👉 Linkedin: https://www.linkedin.com/in/coreyabshire/

1. Will Dean, Principal Data Scientist, PyMC Labs Will Dean is a Statistician and Data Scientist with experience in geospatial and user analytics. He is passionate about Bayesian methods and using data visualization to tell a story. He is interested in software design and how it can make data problems easier and more enjoyable to solve.

🔗 Connect with Will Dean: 👉 Linkedin: https://www.linkedin.com/in/williambdean/ 👉 Github: https://github.com/wd60622/

💼 About the Host:

1. Thomas Wiecki (Founder of 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. 🔗 Connect with Thomas: 👉 Linkedin: https://www.linkedin.com/in/twiecki/ 👉 Website: https://www.pymc-labs.com/, https://twiecki.io/ 👉 GitHub: https://github.com/twiecki 👉 Twitter: https://twitter.com/twiecki

📖 Code of Conduct: Please note that participants are expected to abide by PyMC's Code of Conduct.

🔗 Connecting with PyMC Labs: 🌐 Website: https://www.pymc-labs.com/ 👥 LinkedIn: https://www.linkedin.com/company/pymc-labs/ 🐦 Twitter: https://twitter.com/pymc_labs 🎥 YouTube: https://www.youtube.com/c/PyMCLabs 🤝 Meetup: https://www.meetup.com/pymc-labs-online-meetup/

🎙️ Speaker: Corey Neskey \| ⏰ Time: 17:00 UTC / 9:00 am PT / 12:00 pm ET / 6:00 pm Berlin

Risk assessment is challenging when data is unavailable, hard to obtain, or costly to process. Organizations often request estimates from experts instead. This talk demonstrates how to integrate cybersecurity data with expert estimates using Bayesian modeling in PyMC. Cybersecurity analysts, resource managers, and executives can use Bayesian models to perform risk assessments, select security controls, and prioritize which suspicious events to investigate first. System administrators can configure autonomous sources of data including vulnerability scanners and cybersecurity event monitoring systems to automatically update these hybrid network models alongside inputs from risk analysts and executives.

📜 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. Corey Neskey (Hive Systems)

Corey is Vice President of quantitative risk at Hive Systems, where he develops Derive, a powerful risk modeling and cybersecurity inference platform. His work combines expert knowledge elicitation methods with PyMC and Bayesian network models to solve problems in cybersecurity risk quantification and inform executive decision-making. Corey holds a MSc in cybersecurity intelligence and forensics, a CISSP, and undergraduate degrees in science and philosophy. Prior to joining Hive Systems, he worked at RSA, EMC, Dell SecureWorks, Bloomberg L.P, and NYU.

🔗 Connect with Corey: 👉 LinkedIn: https://www.linkedin.com/in/cneskey 👉 Website: https://www.deriverisk.com 👉 GitHub: https://github.com/cneskey 👉 Blog posts: https://www.hivesystems.io/blog?author=61400746eab56326f6a95503

💼 About the Host:

1. 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.

🔗 Connect with Thomas Wiecki: 👉 Website: https://www.pymc-labs.com/ 👉 GitHub: https://github.com/twiecki 👉 Twitter: https://twitter.com/twiecki 👉 Blog posts: https://twiecki.io/

📖 Code of Conduct: Please note that participants are expected to abide by PyMC's Code of Conduct.

🔗 Connecting with PyMC Labs: 🌐 Website: https://www.pymc-labs.com/ 👥 LinkedIn: https://www.linkedin.com/company/pymc-labs/ 🐦 Twitter: https://twitter.com/pymc_labs 🎥 YouTube: https://www.youtube.com/c/PyMCLabs 🤝 Meetup: https://www.meetup.com/pymc-labs-online-meetup/