{"id":69339,"date":"2024-07-24T07:00:00","date_gmt":"2024-07-24T14:00:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/industry\/microsoft-in-business\/?p=69339"},"modified":"2024-07-23T05:57:04","modified_gmt":"2024-07-23T12:57:04","slug":"transforming-the-energy-industry-with-ai-powered-solutions","status":"publish","type":"post","link":"https:\/\/newed.any0.dpdns.org\/en-us\/industry\/microsoft-in-business\/era-of-ai\/2024\/07\/24\/transforming-the-energy-industry-with-ai-powered-solutions\/","title":{"rendered":"Transforming the energy industry with AI-powered solutions"},"content":{"rendered":"\n<p>The global power demand is expected <a href=\"https:\/\/www.spglobal.com\/commodityinsights\/en\/market-insights\/latest-news\/oil\/100621-global-energy-demand-to-grow-47-by-2050-with-oil-still-top-source-us-eia\" target=\"_blank\" rel=\"noreferrer noopener\">to increase by 50% by 2050<\/a>, 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\u00a0productivity.\u00a0<\/p>\n\n\n\n<p>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&nbsp;energy.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"migrating-to-the-cloud-for-simpler-data-management\">Migrating to the cloud for simpler data&nbsp;management<\/h2>\n\n\n\n<p>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&nbsp;innovation.&nbsp;<\/p>\n\n\n\n<p>Migrating to cloud-based solutions like <a href=\"https:\/\/azure.microsoft.com\/en-us\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Azure<\/a> 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 <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/data-manager-for-energy\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Data Manager for&nbsp;Energy<\/a>.&nbsp;<\/p>\n\n\n\n<p>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, <a href=\"https:\/\/solutions.microsoftindustryinsights.com\/partner_solution\/peloton-computer-systems\/peloton-computer-systems-20231222023806\" target=\"_blank\" rel=\"noreferrer noopener\">Peloton<\/a>, 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&nbsp;output.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"identifying-process-improvements-to-drive-profitability\">Identifying process improvements to drive&nbsp;profitability<\/h2>\n\n\n\n<p>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&nbsp;work.&nbsp;<\/p>\n\n\n\n<p>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&nbsp;productivity.&nbsp;<\/p>\n\n\n\n<p>Microsoft and its partners are providing energy companies with access to modern cloud hyperscaling capabilities to facilitate better operations. <a href=\"https:\/\/www.slb.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">SLB<\/a>, a Microsoft partner and technology solutions company, is helping energy organizations find new growth opportunities with deeper insights-driven seismic imaging and processing. \u201cSLB\u2019s 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,\u201d says Annie Thompson of&nbsp;SLB.&nbsp;<\/p>\n\n\n\n<p>Check out this <a href=\"https:\/\/www.software.slb.com\/videos\/revolutionize-seismic-workflows\" target=\"_blank\" rel=\"noreferrer noopener\">informative webinar<\/a> on seismic workflows with&nbsp;SLB.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"accelerating-decarbonization-with-ai-powered-monitoring\">Accelerating decarbonization with AI-powered&nbsp;monitoring<\/h2>\n\n\n\n<p>Even as energy demand increases, the industry is striving to reduce its own impact on the global climate. The <a href=\"https:\/\/ourworldindata.org\/ghg-emissions-by-sector\" target=\"_blank\" rel=\"noreferrer noopener\">energy sector accounts for 73.2% of global carbon emissions<\/a>, but AI-driven insights and monitoring can help decrease carbon emissions through efficient operations, even while driving\u00a0growth.<a href=\"#s2\"><sup>2<\/sup><\/a><\/p>\n\n\n\n<p>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&nbsp;operations.&nbsp;<\/p>\n\n\n\n<p>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 <a href=\"https:\/\/www.bakerhughes.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Baker Hughes<\/a>, an energy technology company focused on emission reduction, is boosting the value in energy operations, <a href=\"https:\/\/azuremarketplace.microsoft.com\/en-us\/marketplace\/apps\/bakerhughesauguryus.bh_au_mh_public?tab=Overview\" target=\"_blank\" rel=\"noreferrer noopener\">click&nbsp;here<\/a>.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"innovating-for-a-sustainable-energy-future\">Innovating for a sustainable energy&nbsp;future<\/h2>\n\n\n\n<p>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&nbsp;growth.&nbsp;&nbsp;<\/p>\n\n\n\n<p>Learn more about innovative technology solutions for the energy industry by exploring our energy industry <a href=\"https:\/\/microsoftindustryinsights.com\/energy.html\" target=\"_blank\" rel=\"noreferrer noopener\">webinar<\/a>&nbsp;series.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>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.<\/p>\n","protected":false},"author":771,"featured_media":69349,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","footnotes":""},"categories":[1733],"post_tag":[1662,1686],"content-type":[534,869],"coauthors":[790],"class_list":["post-69339","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-era-of-ai","tag-ai","tag-energy","content-type-industry-trends","content-type-partners"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Transforming the energy industry with AI-powered solutions - Microsoft in Business Blogs<\/title>\n<meta name=\"description\" content=\"Energy organizations are preparing for the future by connecting assets and applying AI-powered analytics. 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