California-based data science and AI provider Tredence is working with Snowflake, a Montana AI data cloud company, to help energy organisations use data and AI more effectively across their operations.

Through this collaboration, Tredence, Snowflake and others are empowering oil and gas providers, power companies, and utilities to modernise infrastructure, improve efficiency and accelerate progress towards 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 kilometre 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.

“The energy sector is at an inflection point where data velocity, AI trustworthiness and operational outcomes matter more than ever,” said Rakesh Sancheti, CBO at Tredence. “Our collaboration with Snowflake brings together a governed, scalable data foundation with Tredence’s deep energy domain expertise and AI engineering capabilities. Together, we help energy organisations move beyond dashboards to real-time, AI-driven decisions and increasingly towards agentic systems that can reason, plan and act across complex energy value chains.”

As energy systems become more interconnected and digital, organisations need a unified and governed view of their most critical data. Snowflake establishes this foundation by helping companies bridge traditionally siloed IT and OT systems, collaborate more seamlessly with ecosystem partners, and unlock AI-driven capabilities that improve reliability, efficiency and long-term performance.

“Energy companies aren’t just modernising systems, they’re redefining how the world energises the future,” said Fred Cohagan, head of energy at Snowflake (www.snowflake.com). “Snowflake and partners like Tredence are helping organisations build the trusted data foundation that this moment requires. These are helping lower operational costs and drive higher RoI for energy companies thereby lowering the cost of energy for end customers. Every penny saved trickles down to the consumers as savings.”

The unified, end-to-end energy data platform breaks 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.

Data ingestion and analytics at scale transform and analyse 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.

Users can apply AI and machine learning to monitor asset health, predict failures, reduce unplanned outages, optimise O&M costs, improve safety and lower emissions by combining field sensor data with enterprise systems.They can 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.

Agentic AI empowers business users to automate insights, recommendations and actions, while securely collaborating across the energy value chain via data sharing and the Snowflake Marketplace.

To learn more about Tredence’s collaboration with Snowflake, visit www.tredence.com/partners/snowflake.

Tredence (www.tredence.com) has 4000 employees across San Francisco Bay Area, Chicago, Riyadh, London, Toronto and Bengaluru.