The Global Artificial Intelligence and Operational Efficiency For Energy ​ 20th- 21st of June 2019 in Amsterdam, the Net

1. Future of Energy 4.0: Artificial Intelligence and Operational Efficiency June June 20 Amsterdam, the Netherlands the Netherlands 20th th– –21 21st st 2019 2019 FEATURED ƒImproving energy trading & risk management (ETRM) through Blockchain ƒDeveloping AI supply chain management strategies ƒEvolution of operational technology for energy sector: Energy 4.0 Revolution ƒDriving the Energy and utility industries toward the decarbonized, distributed and digital Europe ƒOptimizing generation efficiency: yield optimization with Artificial Intelligence ƒPredict the Unpredictable: Using AI to forecast and make energy-saving decisions ƒObserving equipment and detecting failures via AI Amsterdam, ƒCapturing the future of energy and utilities with IoT ƒLeveraging advanced machine learning (ML)and deep learning (DL) algorithms SPEAKERS: SPEAKERS: Qaiser Hassan Data Scientist/ Machine Learning Engineer, Exploration Applications Services Department SAUDI ARAMCO Vitaly Elichev Senior Production Technologist, Global Technology and Innovation WINTERSHALL Martin Ruane Programme Director, Robotic Process Automation Lead ENGIE Sébastien Gourvénec Deputy R&D Program Director / Data Science & Artificial Intelligence TOTAL David Hartell Senior Development Manager PREMIER OIL Jorge Simões* Head of the Digital Factory | Digital Global Unit EDP Burcu Alkan* Integration Planning Director SOCAR Türkiye Christian Zaugg Head of Digital Offering ALPIQ Steven Freeman Director of Artificial Intelligenceand Machine Learning SCHLUMBERGER Carl Fehres Vice President for Corporate Engineering Data NATIONAL OILWELL VARCO Aidan O'Sullivan Director: Energy Systems and Data Analytics MSc. UCL - University College London

2. 14:00 Driving the Energy and utility industries toward the decarbonized, distributed and digital Europe Thursday, 20th of June 2019 ƒStreamlining the emergence of decarbonization, decentralization, and new technologies ƒExploring new regulatory framework due to digitalization ƒ Discovering new trends of data artificial intelligence and mobile cloud technology ƒBalancing collaboration and coexistence of humans and technology 08:30 Registration & morning coffee 09:00 Opening address from the Chair KEYNOTE ADDRESS 09:10 Optimizing generation efficiency: yield optimization with Artificial Intelligence (AI) ƒWill AI replace human intelligence in a revenue management ƒStreamlining powers transactions with AI and MachineLearning (ML) technology ƒUnderstanding the role of forecasting in yield optimization ƒBalancing energy management and energy optimization by UCL - University College London by TOTAL 14:40 Coffee & Networking Break 15:10 Improving energy trading & risk management (ETRM) through Blockchain ƒDeploying blockchain to streamline operations and improve customer experience ƒ Reducing operational costs within the blockchain ƒDiscovering the potential for blockchain in electricity ƒBuilding up an efficiant ecosystem of energy blockchain ƒIdentifying advantages and disadvantages of blockchain technology 09:50 Using Deep Learning and Remote Sensing to automatically monitor oil and gas assets - Potential of using multispectral imagery from various fast growing satellite constellations - Deep Convolutional Neural Networks (DCNN) with higher accuracy - Revolution in High Performance Computing (HPC) complementing DL algorithms - Improving assets monitoring without human interface - Minimizing the efforts and cost in applications such as: o Oil Spill Detection o Pipelines Corrosion/ Leak Detection o Chemical spill detection o Oil Tanks Monitoring by SAUDI ARAMCO 15:50 Leveraging advanced machine learning (ML) and deep learning (DL) algorithms ƒ???????????????????????????????????? ƒ???????????????????????????????????????????????? ??????????? ƒ?????????????????????????????????????????????????? 10:30 Coffee Break – Ice-breaking session ƒHow DL is impacting energy sector ƒImproving distributed generation management via ML 11:00 Driving Efficiency using RPA and Data Analytics across ENGIE UK ƒExamine how ENGIE are using RPA and Data ƒAnalytics to improve operational efficiency ƒKey drivers for a successful programme 16:30 Coffee & Networking Break 17:00 Understanding of digital transformation of user experience with virtual agents by ENGIE ƒPersonalising energy for customers through AI ƒ Analysing Utilities 4.0 and role of digital in customer experience ƒStrategic preparing utilities for digital transformation ƒCreating seamless user experience with virtual energy agents ƒMaximizing productivity and minimizing costs 11:40 Observing equipment and detecting failures via AI ƒFighting back against power outages ƒImproving facility operations and maintenance ƒKeeping an eye on power quality and equipment ƒEliminating the risk of physical harm from product failures ƒPreventing failures through machine learning and artificial intelligence ƒDetermining corrective actions for product failures by EDP* ROUND TABLE DISCUSSION by SCHLUMBERGER 17:40 Developing new leadership strategies with a help of digital innovation 12:20 Lunch ƒEstablishing leadership strategies for prepartion in digital transformation ƒEffective recruiting and managing the next generationof energy leaders ƒConverging AI and human intelligence ƒDiscovering a new digital breed of leadership 13:20 Value creation through Energy AI for industry and utilities ƒ Impact and challenges from the changing energy markets networks ƒOpportunities and use-cases for connected energy ƒScalable technology backbone: IoT, data and automation ƒBeyond energy: synergies with predictive maintenance and process automation 18:20 End of Day One – Closing word from the Chairman by ALPIQ Forspeakingopportunities,pleasecontact

3. Friday, 21stof June 2019 14:00 How will AI transform safety and outage prediction/response for energy and utilities sectors? 08:45Morning coffee ƒCan we trust AI to keep the O&G industry safe? ƒDiscovering sufficient data-driven models for ensuring safety ƒDigitilizing energy systems via smart appliances, shared mobility and 3D printing ƒImproving safety, productivity, accessibility and sustainability of energy systems OPENING ADDRESS 09:10 Evolution of operational technology for energy sector: Energy 4.0 Revolution ƒSecuring Operational Technology (OP) in the Energy industry ƒHow new technologies can protect the grid from catastrophic failure ƒAnalyzing current trends in the convergence of IT and OT ƒExploring effective ways to employ AI technologies to improve efficiency 14:40 Coffee & Networking Break 15:10 Predict the Unpredictable: Using AI to forecast and make energy-saving decisions ƒAnalyzing role of weather forecasts: power forecasting for future ƒWhy power forecasting is beneficial? ƒImproving prediction systems' performance and modelling through AI ƒConsumption and production forecasting in combination through digital innovation by PREMIER OIL 09:50 Establishing AI technology roadmap in energy and utilities sectors ƒOptimizing production though a well-combined AI technology roadmap ƒDeveloping strategic technology roadmaps in energy field ƒImplementing technology planning processes for roadmapping by SOCAR Türkiye* 15:50 Enabling consumers' foresight through predictive machine-learning algorithms by NATIONAL OILWELL VARCO ƒ???????????energy consumption through predictive machine learning technology ƒAdopting AI-powered energy optimization tools ƒ Automating the grid: developing a system to predict demand patterns 10:30 Coffee Break – Ice-breaking session ƒPredicting customer usage and production capacity whilst using a predictive segmentation technique 11:00Discovering data privacy challenges and opportunites ƒBattlingcurrrent challenges for privacy and data protection ƒBalancing the data protection principles embodied in the GDPR with digital transformation ƒBuilding business ethics into privacy frameworks for Big Data and AI ƒIs it possible to combine AI and appropriate data protection? 16:30 Coffee & Networking Break 17:00 Capturing the future of energy and utilities with IoT ƒInvestment stategies in a smart grid, smart meters and home automation ƒWill IoT implementation open doors and opportunities ƒBatlling costs through adopting IoT innovation ƒOptimizing operations with IoT technologies ƒPredicting and preventing equipment failure with usage IoT 11:40 Comparative perspectives: Cybersecurity and Energy-cyber-physical systems (e-CPSs) ƒDelivering human-centric services whilst enhancing efficiency and resilience ƒEstablishing new security and privacy protection mechanisms ƒImproving cyber security and privacy analysis and protection mechanisms in e-CPS ROUND TABLE DISCUSSION reliability 17:40 Improving operational efficiency and ƒCombating cyberattacks and threats and implementation of cybersecurity norms ƒEnhancing facility-wide operations and improving processes ƒOptimizing asset reliability through an effective energy management ƒAvoiding unexpected failures by early detection of equipment failure ƒStreamlining overall equipment effectiveness (OEE) and reliability ƒDriving operational excellence through innovation by WINTERSHALL 12:20 Lunch 13:20 How can energy utilities businesses benefit from AI and Big Data ƒImplementing Big Data strategies for energy efficiencies ƒDiscovering synergy of Big Data with AI to improve business processes ƒStreamlining the emergence of Big Data and HTAP (Hybrid Transaction/ Analytics processing) systems ƒBalancing demand and supply in combination with Big Data and IoT 18:20 Closing word from the Chairman and End of the Conference

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