Snowflake recently introduced its Energy Solutions offering within the AI Data Cloud, aimed at helping energy companies consolidate business and operational data, and support analytics across energy operations.
Following the launch, Snowflake this week announced partnerships with Argus Media, Itron, SymphonyAI, and Hightouch centered on its new Energy Solutions offering. These partnerships will extend its reach across domains and enabling energy producers, utilities, grid operators, and energy manufacturers to apply AI to improve efficiency and resilience.
Partners Expand AI‑Driven Energy Capabilities
The following partnerships detail how Snowflake’s new Energy Solutions offering is being applied across specific energy use cases.
SymphonyAI partnered with Snowflake to deploy its IRIS Foundry industrial AI platform on Snowflake’s AI Data Cloud, positioning the platform as a system of intelligence that connects operational technology (OT), IoT, and enterprise data. By integrating sensor, asset, and operational data with enterprise analytics, energy companies can accelerate AI deployment across production, asset performance, and reliability use cases, enabling faster operational decisions from field assets through to executive reporting while reducing the need for custom data integration pipelines.
Hightouch deployed Snowflake’s AI Data Cloud as the governed data foundation for expanding its data activation capabilities for energy manufacturers and utilities, applying the platform to move unified enterprise and operational data directly into customer, sales, marketing, and service systems. This enables operational and commercial teams to activate trusted data in CRM and engagement workflows, improving customer communications, service response, and business decisions while reducing reliance on custom IT-led integrations.
Argus Media integrated its energy and commodity pricing benchmarks and market analytics into Snowflake’s environment, allowing customers to access AI-ready pricing data directly within their governed enterprise data platform. This enables trading, risk, and planning teams to model price scenarios and integrate market intelligence into supply chain and ERP processes without replicating data feeds across multiple disconnected systems.
Meanwhile, Itron also announced a collaboration with Snowflake to support AI-enabled grid planning and utility analytics using its Grid Planning solution on Snowflake’s scalable data platform. Utilities can perform large-scale simulations such as 8,760-hour system-wide load forecasting, along with hosting capacity analysis, DER integration modeling, and predictive maintenance planning, enabling grid analytics to connect more directly with enterprise planning and reporting environments.
What This Means for ERP Insiders
Energy data platforms become core operational infrastructure. Large energy enterprises now need unified environments combining enterprise, operational, and IoT data. Vendors engaging these platforms can deliver AI-driven optimization across planning, maintenance, and grid operations.
ERP decisions increasingly rely on operational and market intelligence. Commodity pricing, asset data, and grid analytics are flowing into enterprise processes. Organizations evaluating these platforms should expect ERP planning, risk, and asset management decisions to become more data-driven.
AI shifts energy operations from reactive to predictive. Utilities and manufacturers can move from responding to disruptions toward forecasting demand, maintenance, and grid needs. Enterprise leaders should view data and AI platforms as long-term operational investments.
