As the world continues to tackle climate change, leveraging AI has become a crucial factor in achieving large-scale carbon reduction. Boomitra’s AI-driven solutions aim to sequester an additional gigaton of CO2 by 2030, turning agriculture into a carbon sink. Through satellite-powered soil monitoring, farmers generate carbon credits, aiding corporations and governments in achieving sustainability goals while supporting local communities.

In this Energy AI talk, Aadith Moorthy the CEO of Boomitra and The Earthshot Prize winner will discuss how AI enhances ESG management through detailed reporting and actionable insights, enabling organisations to meet sustainability goals while preparing for future environmental challenges, highlighting the critical role of partnerships in driving innovation for climate solutions.

AI is transforming industries, from environmental monitoring to energy efficiency and security. In energy and heavy industries, drones, cameras, and satellites generate vast amounts of visual data, creating a bottleneck in processing and analysis. Traditionally reliant on labor-intensive methods, AI now enables more accurate insights for environmental monitoring paving the way for smarter, more sustainable practices across sectors.

There is an urgent need to double the pace of global energy efficiency improvements to meet climate goals and remain competitive in a world rapidly transitioning to cleaner energy. In the energy sector, AI is optimising systems to reduce energy waste, conserve resources, and lower operational cost—savings that can be passed on to consumers and invested in further innovation.

In this Energy AI Talk, Reza Zadeh, CEO, Matroid, will showcase compelling case studies that highlight the positive impact of visual analytics on operational efficiency and safety in the energy sector, illustrating how AI enhances infrastructure monitoring, detects anomalies, and optimises resource management.

Artificial intelligence is poised to revolutionise the energy sector, bringing transformative potential through enhanced demand management, increased efficiency, and support for low-carbon technologies. The World Economic Forum estimates that AI could contribute to a 5-10% reduction in global greenhouse gas emissions by 2030, highlighting its role in advancing net-zero goals. As discussions on AI intensify across corporations, governments, and financial institutions, it’s clear that AI will be instrumental in boosting productivity, addressing critical challenges and shaping the future of virtually every industry including the energy industry.

Founded in 2016, Groq has emerged as a leader in AI innovation, redefining standards for computational power and efficiency through its LPU™ AI Inference Technology, which delivers exceptional speed, quality, and up to 10 times the energy efficiency of traditional GPUs.

In this AI Energy Talk, Jonathan Ross, CEO & Founder of Groq, will provide his perspective on evolving energy strategies to meet the increasing demands of AI-driven industries. He will also discuss the development of the world’s largest inferencing data centre in the Kingdom of Saudi Arabia, which utilises Groq's LPU AI technology in collaboration with Aramco Digital. By combining cutting-edge AI and ML infrastructure from Groq with Aramco Digital’s strategic goals, this partnership aims to revolutionise data processing and analytics across various sectors and generate a significant impact on the Saudi Arabian region by providing support for the development of new industries and job creation.

Innovative VLSFO (Very Low Sulfur Fuel Oil) production technologies are transforming conventional marine fuels to play a vital role in the shift toward sustainable energy. This session will highlight how these advancements can reduce carbon emissions by up to 20 times compared to traditional methods, offering a responsible and cost-effective solution for the maritime industry as it transitions to greener fuel alternatives.

In this talk, we’ll explore how advanced AI technologies—particularly Generative AI (GenAI) and other AI models—are enabling Energy companies to transform, drive efficiency, and unlock new value while meeting global climate targets and the growing demand for Energy.

This session will also shine a light on some of the key challenges faced during this transformation—from scaling AI effectively across diverse operational landscapes to ensuring data integrity and security. Highlighting specific use cases, it will detail how recent developments in AI are not only optimising production and operational workflows but are also revolutionising the entire energy value chain.

Advancing onboard carbon capture systems (OCCS) could enhance operational efficiency and profitability. With regulatory bodies, including the EU Emissions Trading System and the International Maritime Organisation, shaping policies, how can maritime operators capitalise on economic incentives and business models that promote OCCS adoption and foster sustainable maritime operations?

Attendee insights:

Gain comprehensive insights into the technological, economic, and regulatory dimensions of implementing onboard carbon capture, and the complexities of this promising decarbonisation technology in the maritime industry.

Join us for an engaging session highlighting the approach to talent enablement to get the most out of Microsoft M365 Copilot. The global energy company deployed 20,000 licences in a compressed timeframe and had to enable their leaders and employees to drive increased productivity. Accenture designed a best-in-class talent enablement approach to empower employees with the necessary knowledge, mindsets, and behaviours required to harness the full potential of Copilot for M365.

As AI enters its next evolution of computing, it is anticipated that the power demand will grow exponentially year on year. The required energy to accommodate the ever-growing computing requirements of AI modelling is fast becoming one the biggest issues that hyperscalers and data centre providers need to address – this challenge is further compounded by the lack of grid connection capacity, renewable power availability and effective power management when it is required.

This session will showcase how leveraging Enercap technology and solutions, hyperscalers can effectively address these challenges, accelerating energy transition.

The integration of AI in asset management offers enormous potential for advancements in predictive maintenance and digital twins. The effectiveness of this technology hinges largely on the quality of data it processes, with poor data leading to inaccurate insights and worse outcomes. Organizations can prepare themselves for AI by utilizing advanced Robotics to collect comprehensive datasets, ensuring that AI produces meaningful and relevant results.

Attendee Insights:

Attendees will discover how the combination of robotics, AI and software can achieve greater efficiencies and lay a robust foundation for the resilient and sustainable operations of future infrastructure.

By utilising real-time data to optimise routes, AI directly impacts bottom lines. Safety is also enhanced as AI systems proactively identify and address potential hazards, significantly reducing the risk of costly accidents and downtime. Meanwhile, AI's ability to fine-tune engine settings helps maritime firms meet stringent global emissions standards, preserving operational licenses and opening doors to environmentally conscious markets. How can ship operators best use AI to enhance their operations and improve environmental performance, while remaining competitive?

Attendee insights:

Discover how integrating AI into maritime operations can drastically improve efficiency, enhance safety, and ensure compliance with environmental regulations, offering a tangible competitive edge.

Adopting an on-demand manufacturing model for spare parts through additive manufacturing can transform your spare parts supply chain, leading to reduced costs and enhanced operations. How can maritime operators capitalise on the benefits that on-demand manufacturing brings and build a more resilient spare parts supply chain?

Attendee insights:

Gain comprehensive insights into transforming your spare parts supply chain through the implementation of a digital inventory and incorporating the concept of on-demand manufacturing in the maritime industry.

This presentation will explore how AI is revolutionising oil and gas operations through diverse use cases built on a technology agnostic stack, with end-to-end data integration, and robust enterprise access controls. We'll touch on predictive maintenance and process optimisation, enabling companies to foresee equipment failures, minimise downtime, and achieve higher throughput. We’ll touch on AI-driven supply chain optimisation and demand forecasting to enable better resource allocation, cost savings, and capture market imbalance opportunities.

The integration of Generative AI in every product promises to bridge the knowledge gap between the tech-savvy new generation and the retiring generation's wealth of experience. However, it necessitates stringent accuracy and hallucination elimination measures to ensure reliability in critical operations or life-impacting circumstances. This presentation will focus on how the industry should think about the diversity of these use cases and how to build an AI roadmap that ensures substantial value delivery along each step of the roadmap.

Smart grids represent a leap forward in modernizing the energy sector, enhancing efficiency, reliability, and integration of renewable energy. However, this digital transformation exposes the grid to new cybersecurity risks, potentially leading to system disruptions, data breaches, and compromised grid security. This presentation delves into the key strategies required to secure smart grids against evolving cyber threats such as malware, phishing, and data integrity. It covers vulnerability assessments and risk management approaches, guiding operators on how to identify and assess potential weaknesses. A framework for prioritizing and mitigating identified risks is provided, alongside steps to build an effective risk management process. Emphasis is placed on adopting secure communication protocols and implementing industry best practices and leveraging advanced technologies like AI/ML to enhance grid security.

Attendee Insights:

The presentation will also examine a real-world example and application of an effective cybersecurity plan to create a resilient and secure smart grid infrastructure that mitigates threats and safeguards critical assets.

This session will highlight a cutting-edge integrated dashboard powered by Natural Language Processing (NLP), enabling users to interact through spoken or typed questions to gain quick, actionable project insights and predictive analysis. The dashboard's advanced features include identifying potential delays in deliverables based on real-time progress, sending automated alerts if resource productivity dips below planned levels, and recommending additional resources to keep projects on track. It also generates comprehensive reports on key project health metrics such as progress, cost, quality, safety, and risk, while offering targeted recommendations to meet milestones based on current trends. Beyond this, the system suggests relevant datasets for reports based on previous queries, allows users to assess resource availability across multiple projects, and identifies risks that could affect the project schedule. With its ability to provide proactive solutions and real-time insights, this dashboard is a game-changer for efficient project management.

Unlocking the full potential of data in oil and gas exploration is no small feat. The immense volume of geoscience datasets—ranging from seismic surveys to core analysis, production data, and more—comes with varying resolutions, formats, and confidence levels, making integration a major challenge.

This session introduces cutting-edge technology that streamlines the management, fusion, and visualisation of these datasets. By leveraging a web-based "data lake" architecture, it enables seamless 3D modelling of tens of millions of cells, real-time visualisation of drilling and production data, and standardised display of logs and geological maps.

This solution frees scientists and engineers from the burdens of manual data migration and quality checks, accelerating the process of building data models for machine learning and enhancing decision-making.

This session will explore how JERA is leveraging advanced AI technologies to reshape power plant operations and maintenance. Focusing on the innovative JERA-DPP® (Digital Power Plant) solution, it will discuss how AI-driven tools, digital twins, and predictive maintenance enable real-time management, optimise plant performance, and reduce forced outages and maintenance costs.

Key emphasis will be placed on the role of AI in facilitating data-driven decisions and enhancing operational efficiency. Additionally, future developments in JERA’s digital transformation will be addressed, including the integration of generative AI and the industrial Metaverse, which will redefine asset management and global partnerships in the energy sector. By blending human expertise with cutting-edge technology, JERA is paving the way for a smarter, more efficient, and sustainable energy industry.

The presentation will outline a comprehensive initiative aimed at leveraging generative AI to streamline the permitting process for clean energy projects. The primary objective will be to significantly reduce the cost and time required for licencing, which is currently a major bottleneck in the deployment of advanced nuclear and other clean energy technologies. The solution accelerator will utilise historical licencing data, real-time project-specific data, and various datasets to enhance the productivity of creating permits. It will integrate Azure Generative AI, Semantic Kernel orchestration, and Azure OpenAI Service, including GPT-4 and fine-tuned small language models, to automate document draughting and review processes. The system will assist regulators by quickly identifying missing information and ensuring compliance with regulations, thereby accelerating the approval process. Additionally, the solution will be extendable to multiple regulatory systems and languages, continuously adopting the latest advancements in generative AI to improve output quality.

This session will cover Artificial Intelligence (AI) driven 360-degree autonomous visual emissions site, source, component level, real time, continuous detection, and quantification solution-based technology and how it specifically relates to Dr. Sultan Al Jaber’s emissions reduction mandates & the UAE Consensus 2023. It will review the developments in AI driven visual emissions monitoring and its ability to enable Measure, Monitoring, Reporting, and Verification (MMRV) Gold Standard and Oil & Gas Methane Partnership (OGMP) 2.0 Level 1-5 and how to achieve level 4 & 5 compliance. It will discuss and explain different emissions detection methodologies, drones, satellites, Volatile Organic Chemical detection (VOC), Optical Gas Imaging (OGI) Cameras, thermal lenses, cooled cameras and other types of vapour and odour leak detection equipment and systems. It will clearly explain how Artificial Intelligence (AI) driven Visual Automation for emissions reduction and monitoring is contributing to sustainable growth that benefits its people, partners and the planet.

This session introduces a physics-informed, AI-driven framework, for reservoir characterisation and forecasting, aimed at improving operational efficiency in reservoir engineering. The application integrates multi-source data analytics and automates sample construction with commercial standard data platform. Leveraging multi-source data analytics and over 30 machine learning algorithms, the platform automates data processing for tasks like classification, clustering, and regression. State-of-the-art techniques, including deep neural networks and transformer models, create surrogate simulations, optimise parameters, and enhance predictions using the Bayesian Evidential Learning (BEL) framework. The framework’s smart reservoir agent integrates expert knowledge and automates commercial algorithms, enabling real-time decision-making, dynamic forecasting, and precise sweet spot identification. This comprehensive system streamlines reservoir management and enhances operational outcomes.

Lear more about the transformative power of 5G private networks within the energy sector and how this advanced network technology can enhance efficiency, reliability, and security in energy management. From smart grids to predictive maintenance, 5G private networks pave the way for more responsive, sustainable, and innovative energy solutions, driving the sector toward a more connected and resilient future. Also a brief overview on the world largest 5G private network in the energy sector at ADNOC.

Carbon Clean’s fully columnless CycloneCC C1 series, is a compact, modular carbon capture solution that eliminates conventional columns by using Rotating Packed Beds (RPBs). This design cuts plant height by 70% and reduces steel needs by over 35%. The full CycloneCC C1 series is available in concentrations ranging from 3% to 20%, capturing up to 100,000 tonnes of CO2 per year. With a smaller, columnless design, CycloneCC requires up to 50% less space and reduces the total cost of carbon capture by up to 50%.

Carbon capture brings together economics, efficiency and performance. Innovative use of Carbon Clean-developed Artificial Intelligence (AI) is also contributing to increased efficiency and reliability, as well as maximising the performance of Carbon Clean’s proprietary APBS-CDRMax solvent.

Join SPhotonix for an exciting live demonstration exploring the rapidly growing demands for data storage spurred by the exponential growth in AI - and the environmental impact that comes with it.
Traditional data storage solutions create substantial CO2 emissions and unsustainable energy needs. SPhotonix has the solution with its ground-breaking 5D Memory crystal technology.

Delivering unprecedented data storage longevity with has low environmental impact, SPhotonix’s technology meets future storage demands without compromising our planet.

In a thrilling, interactive demo live streamed from SPhotonix’s femtosecond laser lab in the UK, we will showcase real-time data inscription into a quartz crystal, storing information with incredible durability and sustainability.

That’s not all as one lucky delegate will win a custom inscribed 5D memory crystal.
This is a unique glimpse into the future of data preservation combined with positive environmental change.

According to the IEA, energy efficiency, known as the "first fuel" in clean energy transitions, offers some of the fastest and most cost-effective ways to reduce CO2 emissions, while enhancing energy security. As energy costs rise and environmental pressures intensify, building a future powered by efficient energy use demands a holistic data-driven approach. Key to this is creating a robust data infrastructure, standardising collection methods to enable tailored energy conservation strategies. This is especially crucial for the hard-to-abate sectors, where reducing environmental impact and managing energy output cost-effectively are top priorities.

In this session,we introduce two important new projects: FITai and RAWai, both designed to use artificial intelligence to improve our operations at ADNOC. FITai: is our Field Visits Application that changes how our teams work in the field. It provides real-time access to key information, allowing our employees, especially our youth and leaders—to collaborate better and make informed decisions on-site. This tool is essential for achieving our goal of 100% HSE standards, ensuring that every site visit focuses on health, safety, and environmental care.

RAWai: enhances our well integrity management by using AI to analyze data from various systems. It quickly identifies wells that need attention, streamlining the investigation process and improving teamwork among different groups. By introducing FITai and RAWai, we contribute to ADNOC’s commitment to safety, efficiency, and sustainability, setting a new standard for innovation in the energy sector.

Unlocking commercial success in deep tech: strategies to bridge the gap between breakthrough and real-world application

Attendee Insights:

Through real-world case studies and a four-pillar framework, discover the keys to turning complex technologies into impactful products.

Seabed cables are a critical part of the national infrastructure for power and communications as well as playing a key role in offshore electrification goals. System and product reliability is a major focus, as is the inspection and protection of this critical underwater infrastructure. Further, the energy transition is driving the need for alternative energy sources resulting in novel technologies being brought to the market. The seabed and underwater space provides challenges, opportunities and a breeding ground for innovation.

Attendee insights:

Understand the multi-sector innovation present within the underwater space across inspection and integrity. Understand challenges, share lessons learned, and present advances in technology as presented by Global Underwater Hub

As organisations in energy and heavy process industries face growing pressure to enhance efficiency and meet sustainability goals, AI-driven process optimisation presents a significant opportunity.

This presentation will explore how AI and advanced optimisation techniques, such as real-time modelling, simulation, and predictive analytics, can transform industrial processes. Attendees will hear practical examples of how these tools enable operators to maximise plant performance, improve yield and better manage energy consumption.

Innovative agriculture and forestry are currently the only large-scale technologies that can profitably sequester significant amounts of carbon while boosting yields, farmer incomes, human health, and biodiversity. These solutions reduce farm subsidies, create investment opportunities, and enable carbon credits, supporting a realistic path to carbon neutrality.

 Attendee insights:

This session explores large-scale farming successes, the science behind them, and business models that can significantly scale these technologies across diverse climates and landscapes, including deserts.

Data generation and use are increasing. Technology is becoming ever more compute-hungry. Demand for energy is soaring. But sources and uses of energy are under more scrutiny than ever before. This presents the technology industry with a seemingly intractable problem. True to form, technology companies are turning to innovative solutions to solve it.

Attendee Insights:

Learn how technology companies are innovating the energy sector, and how energy regulations, as well as technology regulations, are shaping data center strategies.

AI is set to transform every stage of the energy value chain—from exploration and production to distribution. In this session, Dr. Mike will discuss how AIQ, in partnership with Inception, is pioneering the development and application of proprietary AI solutions to optimise operations.

Focusing on state-of-the-art advancements in agentic AI, generative AI (genAI), and machine learning, he will share examples of how advanced multi-modal insights, and AI-assisted automation is helping to boost efficiency, enhance safety, maximise sustainability, and reduce costs in the Energy sector.

The range of carbon emissions reduction technologies is broad – from retrofits for existing compressors to vapour recovery units, carbon capture units and more cost-efficient wind turbines. Their economic viability can be often challenged. Upfront costs can be high, and businesses and investors are understandably cautious about technologies unproven at scale. Additionally, the absence of robust carbon pricing or tax breaks can make clean technologies less competitive. The energy industry, government, technology innovators and academia must work together to incentivise the financing needed to scale the technologies that will deliver the new energy system.

Attendee insights:

This session will explore how carbon reduction technologies can be made more commercially viable, accelerating the clean energy transition.

As AI continues to impact the workforce and ways of working, it is crucial for organisations to prepare for the future of work. This session will address the urgent need for reskilling and the development of successful workforce strategies. We'll examine the symbiotic relationship between humans and machines, exploring how AI can augment human capabilities and create new opportunities for collaboration.

This session serves as an atlas for navigating the transformative journey of technology that has shaped the region over the past 26 years in the software solutions sector, with significant focus on the energy industry. From the dawn of the internet in the mid-90s to the current wave of generative AI and industrial agents, we will trace this evolution through key technological phases: the rise of the web, the mobile revolution, the era of Big Data and analytics, and the emergence of AI and machine learning.

Today, with the advent of powerful technologies like GenAI, coupled with the rise of industrial agents, alongside advancements in Digital Twins, Edge Computing, and Advanced Robotics, we stand at the cusp of a new industrial revolution!

Join us to explore how this convergence of technologies is solving real-world problems, driving operational accuracy, and delivering substantial value in asset-heavy industries.

The UAE’s "National Strategy for Artificial Intelligence 2031" outlines a vision to become a global leader in AI, targeting key sectors that will drive the country’s economic and social development. Central to this vision is the energy sector, which plays a pivotal role in achieving the UAE’s long-term economic and environmental objectives.

In the energy sector, AI is key to transforming operations and accelerating the transition to a more efficient, sustainable future. AI applications, such as smart grid management, predictive maintenance, and renewable energy forecasting, are helping the UAE optimise its energy resources while enhancing security and reducing environmental impact.

In this Energy AI Talk, Dr. Samuel and Dr. Qirong from MBZUAI, will explore how investing in talent, technology, and infrastructure is key to integrating AI into energy production, driving innovation, and achieving the UAE's AI 2031 vision and the country’s broader sustainability goals.

This session explores how AI integration is transforming Asset Integrity Management, with ADNOC leading the way through advanced technologies like Corro Vision, Corro Pipe, and Panorama Guardian. By enhancing data quality and diversity, these tools provide high-resolution insights, allowing ADNOC to visualize results with greater accuracy, address complex asset challenges, and drive safety and sustainability efforts. Attendees will gain insights into how AI-driven strategic planning and seamless integration enable innovative approaches to asset evaluation, emission reduction, and operational efficiency, setting a new standard in the energy industry.

The UAE's energy landscape is undergoing a dynamic transformation, with innovation and sustainability at its core. Access to strategic financing is crucial for businesses seeking to capitalise on these emerging opportunities. In this informative session, Neeraj Gandhi, SVP of Product Development for mSMEs at Emirates Development Bank (EDB), will showcase EDB’s strategic approach to developmental financing and it is empowering businesses of all sizes – from dynamic mSMEs to large corporations – to drive this transformation forward.

The session will focus on EDB’s tailored financing solutions and innovative services to drive growth within five priority sectors, including Renewables, contributing to the UAE's ambitious net-zero by 2050 goals. The session will also shed light on EDB’s strategic partnerships with private sector companies and energy leaders to shape the future of energy and accelerate the energy transition.

Be part of the debut of Earth Insight, a groundbreaking technology set to transform the exploration industry. Utilising advanced laser spectroscopy and electromagnetic waves, Earth Insight can penetrate up to 6,000 metres below the Earth’s surface, providing unprecedented real-time geological data. This innovation enables more accurate drilling, minimises risks, and optimises resource extraction. Join us as we unveil this game-changing tool that will redefine how we explore the earth’s hidden potential.

Achieving net-zero emissions demands a strategic acceleration of decarbonisation, leveraging science, technology, and regulatory frameworks to drive impactful change. As the energy transition gains momentum, a robust, integrated approach is crucial for overcoming challenges within the energy and resource sectors. Accelerated strategies such as advanced planning and the adoption of cutting-edge technologies forms the backbone of a credible roadmap toward net zero. Key decarbonisation technologies, including renewable energy and carbon capture, play essential roles in meeting rigorous regulatory standards while making tangible environmental impact.

For organisations, prioritising precise measurement, performance metrics, and transparent reporting is critical. Effective Measurement, Reporting, and Verification (MRV) systems, underpinned by accurate carbon data from source to disclosure, enhance accountability and trust. Addressing measurement complexities through advanced data integration enhances emissions tracking and reliability. By embracing a comprehensive decarbonisation framework that melds regulatory adherence, innovation, and data-driven insights, companies can craft actionable transition plans and optimise their decarbonisation pathways ultimately paving the way for a sustainable and resilient net-zero future.

Explore how ADNOC is leveraging AI and machine learning to boost energy production while reducing emissions. By deploying advanced algorithms, ADNOC optimises operations, enhances resource recovery, and pioneers sustainable practices, setting new benchmarks for a low-carbon energy future

Solar energy is pivotal for promoting sustainable electricity generation, reducing greenhouse gas emissions and achieving clean energy goals. Solar panels have long relied on silicon for light absorption. While effective, this rigid and heavy technology is being reshaped by innovation. Printed solar cells make it possible to generate solar power on previously untapped surfaces; such as low weight-bearing industrial and warehouse building structures, an uncompeted global market exceeding 4 billion m2. This breakthrough transforms how we think about energy generation, expanding renewable power’s reach in ways once thought impossible.

Kardinia Energy’s revolutionary Printed Solar technology uses carbon-based semiconducting polymers combined with advanced reel-to-reel printing techniques to create flexible, lightweight solar panels. These panels, printed on recyclable PET plastic, boast low material and energy costs, making them a cost-effective, sustainable alternative to silicon-based solar panels. With emissions intensity of less than 11 g CO₂-e/kWh, they offer an environmentally friendly solution for scalable energy production.

In this Energy AI Talk, Professor Paul Dastoor, Co-Founder, Chief Scientific Officer and Inventor of Printed Solar technology at Kardinia Energy will addresses how Printed Solar technology stands ready to redefine solar’s role in a clean-energy future. He will also highlight the need for recyclable, low-emission energy while enhancing accessibility in renewable energy solutions.

The fuel, convenience, and mobility retail sector are changing rapidly due to evolving customer needs. By embracing AI and advanced digital technologies, retailers can create seamless, hyper-personalised customer experiences, with targeted promotions and personalised loyalty programmes, powered by predictive analytics and actionable data provided by consumer insights.

There’s also plenty consumers don’t see. From algorithms that forecast the quantity and type of fuel required by service stations, to predicting what consumer goods should be delivered to given stores, to employing AI tools to select new service station locations and even design the stores themselves, AI is set to impact every facet of the mobility retail experience in the years and decades to come.

Through this session, we will discuss an AI-powered vision of the future, where fuel and convenience stores evolve into digital-first hubs that provide customers with the products and services they rely on with as little friction as possible.

As part of Chevron’s Facilities and Operations of the Future programme, Chevron and Microsoft are collaborating to integrate advanced edge-to-cloud technologies that revolutionise field operations. This partnership enables real-time AI insights and seamless data flow from cloud to edge, empowering Chevron’s front-line workforce with critical, actionable intelligence—anytime, anywhere. By enhancing sensor capabilities and on-site computing power, this initiative drives greater operational efficiency, safety, and agility, setting a new benchmark for data-driven innovation in energy.

Power-to-X technologies are crucial for decarbonising industries that cannot be directly electrified. By producing green hydrogen, utilising renewable energy, sustainable alternatives like green ammonia and eMethanol can diversify energy sources in sectors such as aviation and shipping. These technologies have the potential to transform renewable power into storable and transportable forms, bridging the gap between green energy and high-energy demand industrial applications. Embracing Power-to-X can both cut carbon emissions and open new commercial opportunities in the emerging green economy.

Attendee insights:

Gain insights into how Power-to-X technologies can revolutionise energy-intensive industries and unlock new commercial opportunities.

This session will delve into how AI is transforming the energy sector, driving efficiency, reducing emissions, and enhancing decision-making and safety. Our speaker will provide a detailed exploration of best practises when scaling AI solutions and share key lessons learnt from AIQ’s deployment journey within the Energy sector.

From real-time, AI-driven insights that improve operational safety to autonomous well monitoring systems, which offer continuous, intelligent oversight and enable predictive maintenance, we will showcase how AI technologies are reshaping the industry.

As data monitoring and collection technology continues to advance, those operating in the energy, marine, industrial, infrastructure, logistics, manufacturing and many other sectors are increasingly presented complex challenges such as scalability, regulatory requirements and informative data that can be used to make accurate decisions. Understanding how to scale robotics across an organisation whilst making sense of this data and turning it into a value add for the business is the new challenge. Those that are harnessing this data are benefiting from boosted efficiency, productivity, quality, and safety across all operations. Equally advanced solutions are becoming key to unlocking the potential of this new age of data analytics.

Attendee Insights:

Gain a deeper understanding of how businesses can leverage digital solutions to streamline data analysis and embed data-backed decision-making into day-to-day operations.

The UAE's journey towards a sustainable energy future presents compelling investment opportunities for global players. But navigating this evolving landscape requires strategic partnerships and access to specialised financial solutions. Join Hamad Ali Mohammad Al Abedin, Assistant Vice President for mSMEs at Emirates Development Bank (EDB), as he unveils how EDB is attracting and empowering foreign investors across the energy sector, with a particular focus on renewables and sustainable technologies.

This session will highlight how EDB's strategic approach, coupled with its deep understanding of the UAE market, facilitates seamless investment journeys for global companies of all sizes seeking to contribute to the nation's net-zero by 2050 ambition. This session will provide valuable insights into EDB's comprehensive support system, including access to key stakeholders, regulatory guidance, and tailored financing products designed to maximise the impact of foreign direct investment in the UAE's sustainable economic development.

Ammonia cracking is a high-potential solution for transporting hydrogen, offering a practical method to convert ammonia back into hydrogen at its destination. An advantage of ammonia cracking lies in its ability to leverage existing infrastructure for ammonia transportation, reducing the need for new hydrogen-specific transport systems. This makes ammonia an attractive hydrogen carrier, especially for large-scale industrial applications and long-distance shipping, opening a path to efficient and cost-effective hydrogen distribution.

Attendee insights:

Explore how ammonia cracking can efficiently and cost-effectively build the hydrogen supply chain by converting transported ammonia back into high-purity hydrogen using existing infrastructure.

The world is facing an urgent need for clean and affordable energy. Nuclear fusion, the energy source of the stars, is considered the holy grail of clean energy: it is limitless, dispatchable and denser than any other energy source on the planet.

Attendee Insights:

By harnessing Nobel Prize-winning laser technology and advanced nanofabrication techniques, Marvel Fusion is pioneering a revolutionary approach to make commercial fusion energy a reality, providing a transformative solution for businesses to decarbonize at competitive cost while enabling a strong economy and sustained prosperity.

With growing pressure to improve asset reliability and operational efficiency, energy and industrial operators are turning to AI-powered Asset Performance Management to reduce downtime, lower costs and increase productivity. This presentation will outline how holistic approaches – combining physics-based models, first principles and AI – can enhance performance across critical equipment through to plantwide assets. Attendees will learn how real-time analytics, predictive insights and an integrated ecosystem of purpose-built solutions can improve decision-making to effectively reduce organisational risk, extend equipment life and optimise asset management imperatives.

While alkaline and proton exchange membrane (PEM) electrolysers are becoming less dependent on critical materials, innovative solutions, including anion exchange membrane (AEM) and solid oxide electrolysers, are attracting investment, promising higher efficiency and reduced costs. Despite these advances, the broader hydrogen industry is faced with challenging demand expectations, a lack of subsidies, and competition from rapidly evolving alternative technologies, which together require a measured approach to ensure hydrogen's role in sectors where it has clear advantages.

Attendee insights:

Get insights into cutting-edge electrolyser innovations, and how to overcome technology implementation challenges in a nascent hydrogen market.

This presentation will explore how the H2Global mechanism is fostering the creation of clean hydrogen markets by leveraging innovative, cross-border auction models. By offering a detailed analysis of the pilot auction results published in July this year, H2Global will shed light on how this approach incentivises green hydrogen production, bridges the gap between supply and demand, and drives down costs to make clean hydrogen commercially viable at a global scale.

Reservoir modeling and simulation is the most used techniques to understand subsurface reservoir dynamics and evaluate the optimal development plan to maximise EUR and economics. However, the process—from building static models to dynamic history matching and forecasting—can be time-consuming. This session introduces a high-fidelity simulator that significantly accelerates this workflow. In addition, a close-loop functionality of integrating static and dynamic information within one platform enables a fast iteration of appropriate models to address reservoir situations. With simulation times reduced from days to mere hours, even reservoirs with complex fluid, rock properties, and recovery mechanisms can be modeled swiftly and accurately, empowering more effective decision-making.

This session explores the evolution toward autonomous operations in the energy sector, powered by AI. Over time, advancements such as digital asset creation, remote monitoring, and control have set the foundation. However, achieving fully autonomous operations, especially in oil and gas, has been a complex challenge. Kent now introduces AI Auto Operator, a breakthrough technology that allows facilities to operate independently, significantly reducing costs, enhancing safety, and optimising efficiency. This presentation covers critical elements of technology, including change management, training, technology, cybersecurity, and a roadmap for successful implementation. Join us to understand how AI is revolutionising autonomous operations, representing a major leap forward for the industry.

Electric natural gas (e-NG), an emerging solution for decarbonising heavy industry, is a green hydrogen-based synthetic fuel that can be produced at scale by combining green hydrogen with climate-neutral CO2, making it a sustainable alternative to natural gas. Additionally, its compatibility with existing infrastructure can facilitate its seamless integration into current systems without the need for significant modifications. As a result, e-NG could support the transition to cleaner energy and, offer a practical and economical pathway for industries to achieve emission reductions.

Attendee insights:

Discover how electric natural gas (e-NG) could provide a practical and economical pathway for reducing industrial carbon emissions, while seamlessly integrating with existing infrastructure.

This presentation will explore how technological advancements are reshaping leadership and driving innovation within organizations. Key topics include understanding emerging technological trends such as AI, blockchain, and IoT, and how they impact various industries. We’ll discuss strategies for cultivating a culture of innovation, including encouraging experimentation, promoting cross-functional collaboration, and rewarding creative thinking. The session will also cover adapting leadership styles to meet the demands of a rapidly changing technological landscape, leveraging data for informed decision-making, and balancing human and technological elements to achieve optimal results.

From headquarters to upstream and downstream operations, ADNOC is empowering its people to lead transformative change and drive the adoption of innovative solutions across the organisation

This session explores the evolution of industrial revolutions and how each wave of innovation paved the way for today’s AI-powered world. Beginning with the mechanisation of the First Industrial Revolution through the digital transformation of the Fourth, we’ll see how these shifts set the stage for AI’s role in advancing industry and society. We’ll discuss current AI applications across sectors, highlighting how AI enhances efficiency and intelligence in operations. Finally, we’ll look toward the future of AI and its vital role in shaping what's yet to come.

Creating a digital twin of the reservoir and entire production system is key to optimising oil and gas field management. Timeline offers a comprehensive solution to achieve this, utilising cutting-edge cloud-based data lake technology with AI and domain algorithms deployed as microservices for seamless access and collaboration.

The platform provides real-time 3D visualisation of subsurface and surface assets, including reservoirs, wells, pipelines, and platforms. It uses advanced AI models, such as GNN/CNN-Transformer, to deliver rapid, accurate predictions of reservoir and pipeline dynamics.

By enabling real-time simulations and tracking, Timeline allows for near-instant predictions and well control optimisations, transforming decision-making and operational efficiency.

Carbon capture, utilisation and storage (CCUS) solutions will be a critical component of the energy transition, helping to reduce emissions and support global climate goals. However, organisations face significant challenges in managing the complexity of these systems, ensuring compliance with increasingly stringent regulations, and maintaining safe, efficient operations. This presentation will explore how digital technologies can address these hurdles, offering advanced tools for optimising monitoring, control, and management of Co2 storage and transport.

This session will showcase how Machine Learning (ML) and AI technologies can revolutionise the management of as-built documents in operating plants, where unstructured formats often result in missing or inaccessible information. By training ML to understand document content, it scans files stored in Windows folders, automatically extracting key details and adding them as metadata for streamlined organisation. For drawings, AI leverages Optical Character Recognition (OCR) to read scanned images, updating metadata with critical information like drawing numbers, descriptions, and revision numbers. All documents are systematically linked to their corresponding Tag numbers, providing effortless access. Furthermore, the Retrieval-Augmented Generation framework enhances efficiency by parsing content to generate comprehensive instruction manuals for both equipment and the plant. When applicable, related videos will automatically play from the exact section explaining the relevant instruction, ensuring a seamless user experience.

This session will explore the "AI for Good" initiative discussing how artificial intelligence is being harnessed to tackle global challenges, from climate change to AI in energy.

During the session, our speaker will share innovative AI solutions being applied within the Energy sector, which are already demonstrating AI’s potential to create a more equitable and sustainable world.

Methane emissions tracking is evolving rapidly. Satellites with sensors and drones gathering data now enable continuous monitoring, top-down and bottom-up reconciliation methods are improving, and yet global standards remain fragmented. No single calculation model or data collection procedure exists across sectors and emissions boundaries lack consistent definition. To reach net-zero, technological breakthroughs, innovative approaches, and cohesive regulations are needed. These will enhance quantification and mitigation efforts that can then effectively combat this potent greenhouse gas and its climate impact.

Attendee insights:

This session will explore the potential of technologies that can help track methane emissions across sectors and the need for standardised methane emissions accounting frameworks.

Smart grid technology is expected to play a key role in accelerating the decarbonisation of the electric power sector and establishing efficient, eco-friendly, resilient, affordable, and reliable grid systems. By investing in modernisation and digitalisation of existing grid systems, utilities can improve the security and energy efficiency of their systems and facilitate the integration of renewable energy sources. Consumers, in turn, can benefit from increased reliability, better energy management, and potential cost savings. However, the investment needed to build the required infrastructure must increase substantially, particularly in developing economies.

Attendee insights:

This session will showcase smart grid technology and its role in decarbonising the electricity sector by optimising energy distribution, reducing energy losses, and improving grid efficiency as well as the investment needed to achieve these benefits.

The risk to critical infrastructure from cybersecurity threats is well established now. Most industrial asset owners and operators realize the need to implement Cybersecurity on industrial control and automation systems. However, they are also concerned about any negative impact on production and operation during & after the implementation of security controls.

Attendee Insights:

In this session, we will address how to overcome these challenges.

Responsible artificial intelligence can help accelerate transformation of the hydrogen market with enhanced process efficiency and control across hydrogen production, storage, and usage. AI can also enable precise monitoring and predictive maintenance across the supply chain, ensuring reliability, efficiency and optimised time to market. Additionally, through AI-driven innovations, the hydrogen industry can better address challenges related to renewables availability & forecasting and energy vectors production, storage and distribution, significantly contributing to industrial decarbonisation efforts.

Attendee insights:

Learn how data-backed AI solutions can support scalable hydrogen production ecosystems by improving process efficiency, control, and reliability, and transitioning the industry towards efficient operational models and sustainable outcomes.

The next generation in AI-powered IT/OT solutions will unveiled showing the powerful impact of innovating your operations. We will be exploring the benefits of migrating your OT environment to the cloud, including enhanced security, scalability, and data-driven insights. Through a captivating case study, witness how a cloud-native, predictive application can transform your pipeline operations.

 Attendee Insights:

Learn about the potential of AI at the edge and how Crux, in partnership with Microsoft, can empower your pipeline control room operators with our co-pilot solutions. Prepare to be inspired as we unveil the improvement potential in your top line revenue by modernization of your OT environments.

Hydrogen fuel cells generate electricity with only water vapour as a byproduct, making them a viable option for buses and trucks. The technology offers longer ranges and quicker refueling times than traditional batteries and is suitable for heavy-duty and long-haul applications. However, the widespread adoption of hydrogen fuel cell vehicles is up against high production costs, a lack of refueling infrastructure, and the intense competition from increasingly efficient electric battery technologies. How can hydrogen powered transportation increase its market share and advance the decarbonisation of transportation?

Attendee insights:

Understand the prospects for, and challenges in, deploying hydrogen in commercial transport, and hydrogen’s competitive positioning to enhance its viability in achieving a sustainable transport sector.

Hydrogen offers promising pathways for lowering emissions in the cement industry. Although hydrogen production costs are currently high, they are expected to decrease as renewable energy prices fall, making green cement a potentially cost-effective option in the future. The transition to hydrogen-based cement production relies heavily on the development of a robust and extensive renewable energy infrastructure to ensure a consistent hydrogen supply. However, the environmental credentials of ‘green’ cement require close examination, as a thorough evaluation of lifecycle emissions and the scalability of these technologies is necessary to validate their sustainability claims.

Attendee insights:

Understand the potential of hydrogen to revolutionize cement manufacturing, explore economic trends, energy frameworks required, and examine the critical analysis needed to substantiate the environmental benefits of adopting hydrogen-based solutions.

Digital twins are revolutionising asset management. These virtual models, constantly updated, mirror physical assets with AI and machine learning analyzing real-time data autonomously. The shift to predictive maintenance can minimise downtime and extends asset lifespans. This enhances customer experiences and yields substantial value, with companies leveraging this technology gaining a competitive edge, optimising operations and improving service delivery. Attendee Insights: Explore how experts in the digital twin space are working with energy businesses to develop efficient data-driven systems that deliver substantial business impact.

Attendee Insights:

Explore how experts in the digital twin space are working with energy businesses to develop efficient data-driven systems that deliver substantial business impact.