From 12 Months to 30 Days: Accelerating AI Deployment Through MLOps
MLOps World: Machine Learning in Production via YouTube
PowerBI Data Analyst - Create visualizations and dashboards from scratch
Learn Backend Development Part-Time, Online
Overview
Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore Ecolab's transformative MLOps journey in this 54-minute conference talk from MLOps World: Machine Learning in Production. Discover how the global hygiene technologies provider revolutionized their AI deployment process, reducing timelines from 12 months to just 30-90 days. Learn about the cutting-edge cloud data science architecture that enables proactive risk management through rapid AI service deployment. Gain insights into the advanced technologies and improved collaborative processes between data science, engineering, and DevOps teams that drive scalable AI applications in real business environments. Benefit from the expertise of industry leaders Yaron Haviv, David Aronchick, and Greg Hayes as they share valuable lessons and strategies for accelerating AI implementation and maximizing business value.
Syllabus
From 12 Months to 30 Days to AI Deployment: An MLOps Journey
Taught by
MLOps World: Machine Learning in Production