Faster. Cheaper. Smarter AI ML with Functional Python 🗓️ Date: August 27 👥 Who is it for: For anyone who is building data-intensive AI or ML systems and wants to speed up workflows, cut costs, and improve efficiency without adding more hardware. 💡*Why is it relevant:* AI and ML workflows are notoriously slow and expensive. Engineers wait days and weeks for models to train. CFOs see AWS bills balloon. Even policymakers warn of compute shortages. But there’s a better way. By reengineering long-running workflows with functional Python, organizations can unlock multifold cost savings and speed improvements, without adding more hardware. This webinar explores how techniques like persistent memoization and deterministic parallelism, powered by functional programming, can dramatically streamline data-intensive processes. Learn about modern open-source tools that can super-charge your workflows. The webinar will cover the underlying theory and dive into practical, hands-on demos. Price: Free! 🎟️ Registration and more information: https://l.dataphoenix.info/8OaKIDl (Session for Americas & Europe) & https://l.dataphoenix.info/nJkRnlB (Session for Asia & Australia)