Data Tech 2026

The era of relying on vendor-based proprietary and opaque ‘Black Box’ Marketing Mix models is over. By leveraging open-source analytics frameworks and Generative AI as a semantic layer, businesses can now utilize a scalable stack that can bridge the gap between complex Bayesian statistical output and actionable business strategy, making marketing analytics and science more accessible and inexpensive for the broader audiences.

Attendees will learn how to build transparent analytics pipeline that balances statistical rigor from Bayesian MMMs with business agility and how organizations can empower non-technical stakeholders to interact directly with statistical model output.