AI in Energy: Transform Energy Management for Better Efficiency

Outcomes

Drive real results in energy and resources

Enhance decision-making and improve response times with AI-powered insights that provide real-time data, reducing the challenges of electricity generation, transmission, and distribution. Relevant for COOs, VPs of Product Management, VPs of Engineering, CTOs, and CFOs

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Accelerate product time-to-market

Use real-time AI insights to speed up decision-making and shorten development cycles, bringing energy solutions to market more quickly.

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Reduce equipment downtime

Use predictive analytics to detect maintenance issues early, minimizing unplanned outages and keeping energy systems running smoothly.

A man in a green jacket looking at a laptop on a table.

Increase productivity

Boost efficiency across operations by automating data analysis and reporting so teams can focus on higher-value tasks.

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Improve customer satisfaction

Build trust and satisfaction among energy consumers by delivering reliable, uninterrupted service and responding faster to risks.

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Reduce operating costs

Cut expenses by optimizing equipment usage, reducing waste, and preventing costly disruptions through AI-driven forecasting.

Решения

Выберите подходящий ИИ-подход для вашей организации

Покупайте, расширяйте, создавайте или сотрудничайте для достижения революционных преимуществ ИИ.

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Microsoft 365 Copilot

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Расширение и настройка

Microsoft Copilot Studio

Создавайте и настраивайте агенты ИИ для расширения возможностей Microsoft 365 Copilot.

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Создание собственных решений

Microsoft Foundry

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Microsoft Marketplace

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Обзор решений на базе ИИ

CUSTOMER STORIES

Discover how organizations are using AI for energy and resources

A large room with computers and monitors.

“With Azure and AI technologies, we have identified inefficiencies we were previously unaware of and gained capabilities that we’ll continue to use in the future.”

Ali İnal, Deputy General Manager, IT and Digital Business, Enerjisa Üretim

24/7

Management of energy production

99%

Of issues identified, assessed, and resolved remotely