Tredence 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, Tredence, 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 pressure to secure critical infrastructure, improve operational resilience, and navigate volatile markets with real-time insight, Tredence delivers the last mile of AI and significantly reduces time to value.

With Tredence and Snowflake, joint customers can bring together critical data across IT, OT, and IoT systems to activate AI-powered insights for safer, more efficient operations. 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 Tredence together help energy organizations: Unified, End-to-End Energy Data Platform: Break down IT, OT, and IoT silos by consolidating enterprise, operational, and market data into a single secure platform, enabling real-time visibility across exploration, production, grid operations, asset performance, trading, and customer operations.

Advanced Data Ingestion & Analytics at Scale: Easily ingest, transform, and analyze first- and third-party structured and unstructured data--including weather, sensor data, and satellite imagery--using Openflow, dbt, Snowpark, and Streamlit to drive deeper operational and market insights. AI-Driven Asset Performance, Safety & Emissions Reduction: Apply AI/ML to monitor asset health, predict failures, reduce unplanned outages, optimize O&M costs, improve safety, and lower emissions by combining field sensor data with enterprise systems. Smarter Forecasting, Compliance & Trading Decisions: Improve forecasting accuracy to meet contractual obligations, reduce compliance costs and penalties, and enable more profitable, well-timed energy trading through informed buying and selling strategies. Faster Decisions & Ecosystem Collaboration with Agentic AI: Empower business users with agentic AI and Snowflake Intelligence to automate insights, recommendations, and actions, while securely collaborating across the energy value chain via data sharing and the Snowflake Marketplace.