The Future of ETRM:
Cloud-Native & AI-Driven
Discover how modern, cloud-native architectures and artificial intelligence are reshaping the ETRM landscape, enabling faster deployments, real-time analytics, and smarter decision-making.
Executive Summary
The energy trading landscape is undergoing a seismic shift. Legacy, monolithic ETRM systems are struggling to keep pace with the volatility of renewables, the complexity of new regulatory frameworks, and the sheer volume of data generated by modern grids.
This whitepaper explores the transition to Cloud-Native ETRM platforms like Gravitas. We analyze how microservices architectures reduce total cost of ownership (TCO) and how embedded AI/ML models are moving risk management from reactive to predictive.
What You'll Learn
Monolithic vs. Microservices
Why decoupling trade capture, risk, and settlements leads to 10x faster deployment cycles.
The Role of AI in Risk
Moving beyond simple VaR to predictive stress testing and automated anomaly detection.
Cost & Scalability
How cloud elasticity allows firms to scale compute power during peak trading hours and reduce costs overnight.
Durga Analytics Research Team
Published: January 2025
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