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Sustainability & Hardware Optimization with ML Right-Sizing, Carbon Footprint
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Automating Continuous Compliance for Scalable, Sustainable SaaS ML
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- 1 Welcome to 42 Machine Learning 2026
- 2 Meet Puja Ranjan: Oracle Cloud & ML Engineering Background
- 3 What Puja’s Team Builds: End-to-End ML Tools on the Cloud
- 4 Why AI in Silicon Valley Matters: Automating IT Support with LLMs
- 5 Cloud Economics & Empowering Small Businesses with SaaS
- 6 From Data to Features: How AI Helps Define What Customers Want
- 7 Building the Feature: Architecture, Compliance, and Secure Dev
- 8 Deploying at Scale: Touchless CI/CD, Rollouts, and Regulations
- 9 SLA Monitoring & ML-Driven Reliability Latency, Alarms, Root Cause
- 10 AI in CI/CD Gates: Code Coverage, Security Tests, and Compliance Automation
- 11 Sustainability & Hardware Optimization with ML Right-Sizing, Carbon Footprint
- 12 Wrap-Up: The Promising Future of AI/ML Integration