As U.S. utilities prepare for accelerating electricity demand driven by artificial intelligence, electrification, and data center expansion, Landis+Gyr Group AG is strengthening its executive leadership and operating model. The global energy technology company has appointed Roque Martin as Senior Vice President of Connected Platforms and Eugene Mazo as Senior Vice President of Grid Intelligence, reinforcing its strategy to combine connected utility infrastructure with AI-powered analytics for next-generation energy networks.

The modernization of electric and gas utilities is entering a new phase as artificial intelligence, distributed energy resources, electric vehicles, and hyperscale data centers place unprecedented demands on grid infrastructure. Against this backdrop, Landis+Gyr Group AG has announced two senior executive appointments and a revised operating model designed to accelerate innovation across connected utility platforms and intelligent grid software.

The company has named Roque Martin as Senior Vice President of Connected Platforms and Eugene Mazo as Senior Vice President of Grid Intelligence. The appointments create two complementary business units that reflect how utilities are increasingly investing in both digital infrastructure and AI-driven operational intelligence.

Connected Platforms will oversee the intelligent devices, communications technologies, and networking services that support utility operations, while Grid Intelligence will focus on software, analytics, artificial intelligence, and applications that convert operational data into actionable insights.

“The level of investment and innovation happening across the U.S. energy sector is unlike anything we’ve seen in decades,” said Peter Mainz, Chief Executive Officer of Landis+Gyr. “Utilities are making generational investments in the infrastructure and intelligence required to power AI, advanced manufacturing, transportation and a more electrified economy.”

AI and Electrification Are Reshaping Utility Priorities

Landis+Gyr’s organizational changes come as utilities confront one of the most significant shifts in electricity demand in decades.

Following years of relatively stable consumption, U.S. electricity demand is projected to rise steadily through the next decade. Much of that growth is being driven by AI infrastructure, cloud computing, electric vehicles, industrial electrification, and renewable energy integration.

According to the U.S. Department of Energy, data centers could account for up to 9% of U.S. electricity consumption by 2030, reflecting rapid expansion in AI computing infrastructure. Industry forecasts also project sustained annual load growth approaching 5% through 2035, requiring utilities to modernize both physical assets and digital operations.

For utilities, managing this complexity requires more than advanced metering infrastructure. Grid operators increasingly need real-time visibility, predictive analytics, distributed intelligence, and AI-assisted decision-making capable of balancing reliability, resilience, cybersecurity, and customer expectations.

Connected Infrastructure Meets Enterprise AI

The company’s revised operating model reflects an industry-wide convergence between operational technology (OT) and enterprise software.

As head of Connected Platforms, Roque Martin will oversee the technologies that connect millions of intelligent endpoints across electric and gas distribution systems. Martin previously served as CEO of Aras and held senior leadership positions at PTC and IBM, bringing extensive experience in enterprise software and industrial digital transformation.

His organization will focus on creating secure, scalable communications infrastructure capable of supporting both today’s smart grid operations and future digital services.

Meanwhile, Eugene Mazo will lead the newly established Grid Intelligence organization, overseeing software platforms that apply artificial intelligence, advanced analytics, and operational intelligence across utility networks.

Mazo joins from Acuity Brands, where he led the Atrius IoT platform, following his role as founder and CEO of DGLogik, an intelligent building software company later acquired by Acuity Brands.

His experience aligns with the utility industry’s growing emphasis on AI-driven asset management, predictive maintenance, outage forecasting, and operational optimization.

“The opportunity is not simply to connect more assets, but to help utilities understand what is happening across their networks and act on that information with greater speed and confidence,” Mazo said.

Building the Intelligent Utility of the Future

The appointments also support Landis+Gyr’s broader executive expansion.

Over the past year, the company has strengthened leadership across corporate strategy, marketing, and human resources through the appointments of Sheila Dehdashti as Chief People Officer, Lisa Magnuson as Chief Marketing Officer, and Carter Shoop as Chief Strategy Officer.

The expanded executive team reflects the company’s long-term focus on intelligent energy infrastructure, digital transformation, and organizational growth.

Across the broader utility sector, AI is becoming central to grid modernization strategies. Utilities increasingly deploy machine learning to forecast demand, optimize distributed energy resources, identify equipment failures before they occur, and improve customer engagement.

Major technology providers including Microsoft, Google Cloud, Amazon Web Services (AWS), NVIDIA, Oracle, and IBM continue investing in AI platforms supporting utilities through cloud computing, edge analytics, digital twins, and high-performance computing.

According to IDC, global spending on AI continues to accelerate across energy and utilities as organizations prioritize predictive analytics, intelligent automation, and operational resilience. McKinsey & Company similarly identifies digital technologies and AI as key enablers for improving grid reliability while supporting decarbonization and electrification initiatives.

For Landis+Gyr, aligning connected infrastructure with AI-powered software reflects a broader industry transition. Smart meters and connected devices increasingly generate massive volumes of operational data, but competitive advantage now depends on transforming that information into actionable intelligence that helps utilities operate safer, more resilient, and more efficient energy networks.

As electricity demand continues to rise and AI workloads reshape energy consumption patterns, integrated platforms that combine connected assets with intelligent analytics are expected to become foundational components of the next-generation digital grid.

Market Landscape

Utilities worldwide are investing heavily in grid modernization as AI-driven data centers, electrified transportation, renewable energy integration, and distributed energy resources increase network complexity. Smart grids increasingly combine IoT sensors, intelligent meters, cloud platforms, and AI analytics to improve operational visibility and resilience.

According to the U.S. Department of Energy, data centers could consume up to 9% of U.S. electricity by 2030, while IDC forecasts continued growth in AI investment across the utilities sector. Technology leaders including Microsoft, AWS, Google Cloud, NVIDIA, Oracle, and IBM are expanding AI and cloud platforms that support predictive grid management and intelligent energy operations.

Top Insights

• Landis+Gyr has reorganized its business around Connected Platforms and Grid Intelligence to support AI-powered utility modernization.
• New executives Roque Martin and Eugene Mazo bring enterprise software, IoT, and AI expertise to strengthen digital grid capabilities.
• Rising electricity demand from AI infrastructure and electrification is accelerating investments in intelligent utility platforms.
• AI-powered analytics are becoming essential for utilities seeking predictive maintenance, grid resilience, and operational optimization.
• The company’s broader executive expansion aligns leadership across technology, strategy, marketing, and workforce transformation to support long-term growth.

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