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Transforming the energy industry with AI-powered solutions

The global power demand is expected to increase by 50% by 2050, driven by growth in emerging markets and global electrification. With the energy industry striving to balance this surge in demand alongside the need to reduce carbon emissions, promote sustainability, and ensure equity, innovative technologies are poised to help. Cloud-based data capabilities present new opportunities for energy organizations to enhance operational safety, profitability, and productivity. 

Embracing cloud-based technology and a connected data estate is helping organizations harness AI-powered insights and drive innovative solutions to transform energy production and distribution. Microsoft and its technology partners are excited to illuminate new opportunities to optimize operations for the future of energy. 

Migrating to the cloud for simpler data management

Energy production requires a vast but secure digital infrastructure to sustain operations, but these complex IT environments can limit efforts to develop a holistic view of productivity and efficiency. A flexible and secure cloud-based environment can consolidate organizational data and lay the foundation for AI-powered innovation. 

Migrating to cloud-based solutions like Microsoft Azure helps energy organizations to unify disparate software products and data sources, boost cybersecurity, and create a scalable digital infrastructure for future needs. Organizational data stays secure and private, while decision-makers use AI-powered analysis and insights with a product like Azure Data Manager for Energy

Microsoft and its partners are experienced with the nuances of cloud migration in the energy industry, which lays the foundation for deploying AI-powered tools. For example, Peloton, a Microsoft partner and provider of energy software solutions, demonstrates how a unified IT ecosystem helps operators view and manage vital operational data to maximize output. 

Identifying process improvements to drive profitability

Migrating to a cloud-based architecture can help energy organizations drive new growth and improve profitability in their core businesses. Capabilities such as hyperscale cloud, AI, and the Internet of Things empower employees to operate safely and more efficiently with software solutions designed for how and where they work. 

Equipping frontline workers with AI-powered and mixed-reality technologies attracts employees eager to learn and innovate on the job. This facilitates better energy operations and maximizes profitability through improved processes and productivity. 

Microsoft and its partners are providing energy companies with access to modern cloud hyperscaling capabilities to facilitate better operations. SLB, a Microsoft partner and technology solutions company, is helping energy organizations find new growth opportunities with deeper insights-driven seismic imaging and processing. “SLB’s deep understanding of how domain workflows interact with the data, together with the hyperscaling capabilities of Microsoft to support scaling needs, we can deliver a game-changing seismic interpretation experience, allowing end users to access larger volumes faster than ever before,” says Annie Thompson of SLB. 

Check out this informative webinar on seismic workflows with SLB. 

Accelerating decarbonization with AI-powered monitoring

Even as energy demand increases, the industry is striving to reduce its own impact on the global climate. The energy sector accounts for 73.2% of global carbon emissions, but AI-driven insights and monitoring can help decrease carbon emissions through efficient operations, even while driving growth.2

Energy organizations have an unprecedented opportunity to apply advanced technology to improve operations without increasing emissions. Capabilities such as Azure analytics, AI, and machine learning create more accurate modeling that can improve condition monitoring and predictive maintenance. Building digital twins, which are digital re-creations of physical objects based on AI-powered data, can also help energy organizations to reduce emissions and expenditures by fine-tuning operations. 

In pursuit of a sustainable future, energy companies are using data and AI for improved asset management, aiming to transform and extend equipment lifetimes while meeting operational goals. To discover how Microsoft partner Baker Hughes, an energy technology company focused on emission reduction, is boosting the value in energy operations, click here

Innovating for a sustainable energy future

As the energy industry prepares for growing future needs, connecting data to apply AI-driven technology solutions can optimize existing assets. Fine-tuning operations, incorporating predictive maintenance, and building more accurate digital models are only a few of the ways Microsoft and its partners are helping the energy industry unlock actionable insights that accelerate innovation and growth.  

Learn more about innovative technology solutions for the energy industry by exploring our energy industry webinar series.