#United States #New York #Energy Solutions #Snowflake #AI Data Cloud

Snowflake's AI Data Cloud for Energy Solutions

On January 27, Snowflake announced the launch of its innovative solution, Snowflake Energy Solutions, tailored specifically for the energy sector. This new platform integrates governance features, partner development solutions, and critical datasets, enabling utility operators in electricity, gas, and oil to consolidate their siloed IT, OT, and IoT data into a single secure platform. This centralization empowers organizations to possess real-time insights into their assets, predict issues, optimize performance, and make informed decisions at scale.

Leading companies including ExxonMobil, Expand Energy, IGS Energy, PG&E, Powerex, Siemens, and Sunrun are already leveraging Snowflake to enhance operational resilience and achieve better performance in a volatile market. Snowflake Energy Solutions facilitates a secure connection between IT, OT, and IoT systems, creating a reliable data foundation for AI that accelerates infrastructure renewal and efficiency while driving a transition to a more reliable low-carbon society.

The introduction of Snowflake Energy Solutions coincides with a new partnership with SAP, allowing energy firms to amalgamate SAP's financial and supply chain data with Snowflake's operational data. This integration enables organizations to extract actionable insights for grid operations, asset planning, and revenue enhancement.

To further support its customers, Snowflake has introduced over 30 new solutions developed by partners that operate natively in its AI Data Cloud. For instance, CARTO's cloud-native spatial analytics capabilities enable energy companies to conduct geospatial analyses without moving data between systems, thereby allowing for the creation of interactive maps and a deeper understanding of assets, infrastructure, and geographical risks.

Additionally, global technology provider Itron deploys advanced system planning solutions built on Snowflake to assist in the complex management of today's grid. This solution, offering industry-leading 8,760-hour power flow analysis, allows companies to model grid performance years into the future with unmatched detail, turning what previously took months into mere hours. Thus, businesses can plan infrastructure more accurately to avoid unnecessary costs and enhance long-term reliability.

Siemens has also integrated its Industrial Edge with Snowflake, enabling energy and industrial companies to securely ingest data from distributed industrial assets into Snowflake for sophisticated analysis and AI utilization. New analytical capabilities facilitate the use of natural language in operational data handling, enhancing the efficiency and speed of information retrieval related to performance, maintenance, and operational issues.

The newly developed solutions by partners cater to vital energy use cases, including grid planning, asset health, and operational forecasting, reinforcing the momentum of Snowflake's energy sector clients and partners. By combining Snowflake's user-friendly platform with integrated governance, companies can unify their data and apply AI across asset performance and network optimization, empowering employees to act swiftly and achieve results more quickly.

Fred Cohagan, Snowflake's Global Head of Energy Solutions, remarks, "Data serves as the control plane for the future of energy. Companies in the energy sector are seeking a reliable data foundation that allows AI to be utilized across the board for ensuring grid safety, protecting critical assets, and balancing supply and demand in volatile markets. Snowflake supports energy leaders around the world in reimagining how they manage data and democratizing intelligence through AI, enabling not just data scientists but everyone to harness insights in real-time. This shift allows organizations to achieve results more efficiently, optimize existing assets, and improve sustainability and shareholder value."

Additionally, technology is unlocking the value of energy data accumulated over the past century. Through Snowflake Intelligence, engineers and analysts alike can obtain reliable answers using natural language in seconds, fostering a shift from "democratization of data" to "democratization of decision-making."

Comments regarding this announcement include insights from industry leaders:

• - Abhay Gupta, CEO of Bidgely, states, "Our company was founded to empower the energy sector to capitalize on data, and Snowflake Intelligence enables us to realize this vision on an unprecedented scale." By combining Bidgely's industry-specific AI with Snowflake's data and AI platform, utility providers can access customer consumption patterns and behaviors intelligently and efficiently, thereby supporting quicker, data-driven decisions.

• - Alex Read, Senior Enterprise Product Manager at EDF, emphasizes the necessity of real-time reliable customer insights in a rapidly changing energy landscape. The deployment of an intelligent customer engine on Snowflake has expedited the integration of sensitive data safely and effectively.

• - Justin McCammon, VP of Engineering at EnergyHub, insists that creating a reliable and affordable grid necessitates establishing Virtual Power Plants (VPPs) that are as dependable as traditional generation assets. Snowflake provides the low-latency telemetry and accurate forecasting needed to enable VPPs to meet such standards.

• - John Christ, CIO at Expand Energy Corporation, mentions, "Our data platform built on Snowflake serves as a robust tool for centralized visibility of business and field operations." This platform streamlines monitoring automation and simplifies M&A integrations while applying machine learning through Snowpark.

• - Dan Shah, Product Manager at IGS Energy, reveals, "Snowflake has made it possible to build AI models without sacrificing accuracy, resulting in cost reductions and faster insights." This simplicity allows teams to focus on delivering an enhanced customer experience.

• - David Leach, SVP and Chief Data & Analytics Officer at PG&E, highlights that meeting customer expectations for reliable, affordable energy relies on simplifying the data environment for timely decision-making across the business.

• - Ian Mathieson, Director at Powerex, mentions that data underpins market agility, and transitioning from legacy systems to Snowflake enhances the speed and scale of insights derived from AI and market intelligence.

• - Horst J. Kayser, CEO of Siemens Factory Automation, notes that unprecedented operational visibility is required to advance the energy transition, relying heavily on data-driven approaches to overcome complex challenges associated with sustainable energy production.

• - Rohit Ayyagari, VP of Enterprise Technology at Sunrun, emphasizes that Snowflake serves as a scalable foundation for analyzing and innovating across the entire business, delivering insights rapidly to over 7,500 users.

For more information about starting with Snowflake Energy Solutions, visit their website. Explore the implications of this announcement for the industry on their blog. Snowflake is also accepting registrations for a webinar on innovations driven by AI and data among energy operators in oil, gas, and utility sectors.

About Snowflake

Snowflake enables companies to unlock innovation at unprecedented speed, helping businesses derive more value from their data in the AI era. With over 12,600 customers, including some of the world's largest corporations, relying on Snowflake's AI data cloud for constructing, utilizing, and sharing data systems, Snowflake transforms information and AI into instruments of profound change for everyone. Learn more by visiting snowflake.com (NYSE: SNOW).