Sigma announced its collaboration with Snowflake to support the launch of Snowflake's new Energy Solutions and help energy organizations use data and AI more effectively across their operations. Through this collaboration, Sigma, Snowflake, and other industry leaders are empowering oil and gas, power, and utilities providers to modernize infrastructure, improve efficiency, and accelerate progress toward a more reliable and lower-carbon future. As energy companies face growing pressure to secure critical infrastructure, improve operational resilience, and navigate volatile markets with real-time insight, Sigma, leveraging Snowflake, delivers a unified data foundation that resolves the Overall Process Effectiveness (OPE) Paradox.
By bridging the gap between plant-level physics and real-time market pricing, this foundation enables producers to pivot from volume-based output to maximum-margin optimization. Purpose-built for flow-based, continuous production environments, this approach emphasizes yield-based efficiency, helping organizations reduce losses from off-spec production, downtime, and energy inefficiencies. With Sigma and Snowflake, joint customers can bring together critical data across IT, OT, and IoT systems to activate AI-powered insights for safer, more efficient, and more resilient operations.
As energy systems become more interconnected and digital, organizations need a unified and governed view of their most critical data. Snowflake's Energy Solutions establish this foundation by helping companies bridge traditionally siloed IT and OT systems, collaborate more seamlessly with ecosystem partners, and unlock new AI-driven capabilities that improve reliability, efficiency, and long-term performance. Snowflake and Sigma together help energy organizations: Unify IT, OT & IoT Data for Market-Aware Operations: Break down traditional silos by consolidating business, operational, and market data into one secure platform.
Provide real-time visibility across exploration, production, transmission/distribution, asset performance, trading/risk management, and customer operations. Democratize Expert Analysis with Cortex AI: Empower managers to ask natural language questions to get instant root-cause analysis, then use Sigma writeback to immediately update production plans and close the loop from insight to action. Improve Safety, Efficiency & Emissions Reduction: Combine field sensor data with enterprise systems to uncover insights that streamline operations, reduce downtime, and support protection of life, property, and the environment.
Modernize Infrastructure with Built-In Security & Governance: Enable data consistency, lineage, and compliance across complex energy systems. Scale AI innovation without impacting cybersecurity or regulatory requirements. Collaborate Across the Energy Value Chain: Use secure data sharing and Snowflake Marketplace to enable multi-party collaboration with suppliers, regulators, asset operators, and service partners.
