Tiger Analytics leverages its deep domain expertise and Snowflake’s AI Data Cloud to deliver high-impact Energy and ESG solutions, enabling global energy leaders to modernize at speed and achieve measurable Net-Zero outcomes
Chennai, India – Tiger Analytics, a global leader in AI and advanced analytics, today announced its collaboration with Snowflake, the AI Data Cloud company, to support the launch of Snowflake’s new Energy Solutions. Through this collaboration, Tiger, Snowflake, and other industry leaders are empowering oil, gas, and utility providers to navigate a volatile market with real-time, actionable intelligence.
As the energy sector faces intensifying pressure to strengthen operational resilience and meet ambitious sustainability goals, Tiger Analytics is delivering end-to-end Energy and ESG intelligence solutions powered by Snowflake Cortex AI. By unifying disparate IT, OT, and IoT data streams, the collaboration enables joint customers to activate AI-powered insights that drive safer, more efficient operations and accelerate the transition to a lower-carbon future.
“At Tiger, we don’t just provide insights; we bridge the critical gap between complex operational data and strategic Net-Zero objectives,” said Badrish Prakash, Global Head of Alliances at Tiger Analytics. “By combining our deep energy domain expertise with Snowflake’s cloud-native capabilities, we are redefining how the industry approaches sustainability. Our Energy & ESG Intelligence Platform transforms fragmented data into a strategic asset, enabling our customers to achieve measurable outcomes at scale.”
Transforming Energy Operations Through AI-First Innovation
Through this collaboration, Tiger Analytics and Snowflake are helping energy organizations solve their most complex challenges:
- Unified Data Intelligence: Break down silos by consolidating business, operational, and market data into a single, secure platform for end-to-end visibility across the value chain.
- Predictive Asset Performance: Use Tiger’s advanced AI/ML models to monitor asset health, proactively detect risks, and significantly reduce unplanned outages and maintenance costs.
- Safety and Emissions Optimization: Integrate field sensor data with enterprise systems to streamline operations and support the protection of life, property, and the environment.
- Governed AI at Scale: Scale AI innovation with built-in security and governance, supporting data consistency and regulatory compliance across complex energy environments.
- Ecosystem Collaboration: Leverage Snowflake Marketplace for secure data sharing between suppliers, regulators, and service partners to foster multi-party collaboration.
“Energy companies are redefining how the world energizes the future,” said Fred Cohagan, Global Head of Energy, Snowflake. “Snowflake and partners like Tiger Analytics are helping organizations build the trusted data foundation required to run more reliable operations and create long-term advantages in a dynamic energy landscape.”
To learn more about how Tiger Analytics and Snowflake are transforming the energy industry, click here.
