The energy and resources industry is undergoing a profound transformation. Utilities, oil and gas, chemicals, metals and mining, and EPCs face growing demands for efficiency, reliability and safety—while managing vast volumes of data across complex operations. At OpenText World 2025, leaders explored how secure information management is the cornerstone for unlocking AI’s full potential in industrial environments.

From predictive maintenance to optimized asset performance, AI promises game-changing insights. But success depends on trusted, unified access to information—delivered securely and at scale. This year’s event showcased breakthrough strategies and technologies that enable enterprises to harness AI responsibly, ensuring compliance and protecting critical data.

In this recap, we’ll highlight the key announcements, innovations, and practical solutions shaping the future of energy and resources—and how they empower organizations to reimagine information to execute projects on-time, increase uptime, and improve safety.

Key Announcements

The OpenText AI Data Platform took center stage as a breakthrough in converging data and AI to deliver secure, scalable enterprise capabilities. For the energy and resources sector, this means AI agents built on domain-specific datasets—ensuring accuracy for utilities, oil and gas, chemicals, and other complex industries. With multi-layer integrations and strategic partnerships, the platform enables agents to leverage trusted, industry-specific knowledge securely, driving better decisions and safer operations.

Another key announcement was OpenText’s expanded partnership with Google, designed to deliver transformative solutions across artificial intelligence (AI), data privacy, and sovereign cloud infrastructure. OpenText will leverage Google’s Gemini models and Vertex AI to deliver new AI use cases and a suite of intelligent agents in Gemini Enterprise—empowering customers to solve high-value business challenges. Additionally, OpenText’s Private Cloud offerings now integrate with Google Cloud’s Sovereign Cloud, enabling organizations in regulated industries to meet stringent compliance requirements while maintaining full control over where and how their data is stored and processed.

OpenText also introduced new products for secure information management, moving AI from hype to practical enterprise solutions. These innovations include intelligent agents, advanced search, and automation tools designed to integrate seamlessly into existing workflows. For energy and resources companies, this means securely connecting engineering documents, asset data, and operational records to AI-driven insights—improving compliance, accelerating decision-making, and reducing risk. By embedding security and governance at every layer, OpenText ensures organizations can harness AI confidently while maintaining control over sensitive information.

Energy and Resources Forum Recap

Sponsored by OpenText Partner ReVisionz, experts in the digital transformation of physical assets, the forum explored how secure information management and AI are transforming asset-intensive operations. Key challenges included rising capital expenditures, operating more assets per employee, and growing cybersecurity threats. Speakers emphasized unified, governed data as the foundation for AI-driven insights across the asset lifecycle and entire enterprise. Highlights included modernizing engineering document exchange with OpenText Content Management for Engineering and Core Collaboration for Engineering, improving metadata governance, and leveraging AI for intelligent search, predictive readiness, and compliance. Panelists shared strategies to overcome data silos, boost efficiency, and prepare for generative AI adoption. The session reinforced that secure, integrated information management is essential for automation, risk reduction, and reliability in energy and resources.

Utilities Consortium: Information Reimagined for The AI-Enabled Utility

The Utilities Consortium explored how secure, unified information management enables AI adoption across utilities. Rising power demand, aging infrastructure, and workforce retirements make AI readiness essential. Speakers emphasized that AI will transform processes, workforce collaboration, and customer engagement—but only with strong governance, compliance, and security. Practical examples included predictive maintenance, intelligent automation, and conversational AI for operational data access. The session reinforced that public AI models aren’t enough—utilities must leverage trusted enterprise data to unlock AI’s potential. Secure information management is the foundation for delivering affordable, reliable, and sustainable energy in the AI era. AI-enabled utilities can also expect significant cost savings by applying best practices OpenText uses internally—such as cloud optimization, system rationalization, and process automation—which are projected to save $1 billion over the next decade.

The post Elevate together: Driving the future of energy and resources appeared first on OpenText Blogs.