Energy Innovation SUMMIT

Transcription

1 Organized By Delivering Business Excellence in Energy Sector Energy Innovation SUMMIT MAY 2015 ABU DHABI, UNITED ARAB EMIRATES ESTEEMED ADVISORY AND SPEAKER PANEL : Focus Topics : Issa Al Balushi, Head of Operational Support, Real Time Operation (RTO) Team, Petroleum Development Oman (PDO), Oman Arockiaraj Arockiam, Head of Big Data CoE, Emirates Group IT, United Arab Emirates Dr Mohamed Guidoum, Corporate Strategy & Performance Lead, ADWEA, United Arab Emirates Social Media Analytics Cross- Domain Data Management Dr. Satyam Priyadarshy, Chief Data Scientist - Halliburton, Washington D.C, United States of America Muhammad Sajith, Specialist - Infrastructure IT Services Information Technology, Emirates Global Aluminium, United Arab Emirates Strategic Drivers Secure Networks for Fraud Detection Ahmad Yaghoobi, Boeing Technical Fellow, Enterprise Architecture, Advanced Analytics & Visualization, Greater Seattle Area, United States Of America Marwan Razzo, Quality & Performance Manager, Aramco Services Company / King Abdullah Petroleum Studies and Research Center, United Arab Emirates Predictive Maintenance for Energy Cost Effective Measures Drs Pieter J. den Hamer, Lead Big Data, Business Intelligence & Amit Kar, Engineering IM Delivery Team Lead MENA Shell, United Arab Emirates Analytics, Alliander, Netherlands MEDIA PARTNERS Awad Ahmed Ali El Siddig Infrastructure & Data Center Department.Senior Database Administrator, ADNOC Distribution, United Arab Emirates

2 The 3 V s Of Big Data Meet the experts Volume Amount of Big Data stored across the world (in petabytes) > Deputy Under-secretaries, Directors- General, C-level Executives, Managing Directors & Deputy Directors, General Managers, Vice Presidents, Assistant General Managers, Deputy General Managers and Managers >3,500 >2,000 North Europe America >50 Latin America >200 Middle East >50 INDIA >250 China >400 JAPAN > Data Scientists & Intelligence specialists > Heads of Data, Analytics, Business Intelligence, Marketing, Customer Insights, Product Development, Finance, Operations, Strategy & Planning, IT & ICT, Smart Government & Smart Cities WHY U.A.E? Variety People to people Netizens, virtual communities, social networks, web logs... People to machine Archives, medical devices, digital tv, e-commerce, smart cards, bank cards, computers, mobiles... Machine to machine Sensors, gps devices, bar code scanners, surveillance cameras, scientific research... Velocity 2.9 MILLION s sent every second 20 HOURS Of video uploaded every minute 50 MILLION Tweets per day The emirate will spend $7bn on the direct infrastructure it needs for Expo 2020 and it is likely to create around 277,000 jobs between now and 2021, when the six-month exhibition finishes. It means more people would be coming to Dubai to live and work, more visas being processed, more companies bidding for work or supplying services and as this business activity increases, quietly in the background, it means data. Lots of data. Data on spending, on new residents, on schemes to prepare for the Expo, on the utility needs this sudden growth creates and so on. For the IT industry, the surge in the data that companies want to analyse means more demand for software, hardware and services. The wider UAE recovered pretty quickly from the economic downturn. It kept spending on big infrastructure schemes and benefited economically from some of the tragedy happening elsewhere in the Arab world, as people fled conflict to set up home here. So, in big data terms, technology companies were already highlighting the UAE as among the fastest growing in the region. Analyst firm IDC recently predicted that investment in business analytics in the Middle East is expected to increase at a compound annual growth rate of more than 20 percent over the next five years. Just over 40 percent of CIOs in the Middle East, it said, are considering investments in analytics and big data technologies. The UAE, it added,...has been at the forefront of business analytics and big data adoption across the Middle East.

3 How is it relevant to you? UTILITIES OIL & GAS Smart Meters 3 The upstream oil and gas industry s need to better understand subsurface has driven companies to collect LARGER volumes of data, more TYPES of data and collecting data on a more FREQUENT basis Smart Appliances 25% Electricity Distribution Sensors 19% Transmission and Distribution Energy Losses 1 Electricity Transmission Sensors 8% The amount of SEISMIC DATA being collected and DATA FROM DRILLING AND LOGGING ACTIVITY has also grown due to the fact it is being measured in smaller increments The amount of data being collected during production has GROWN due to downhole sensors relaying information to the surface on a real-time basis The ability to COMMUNICATE FROM THE FIELD with head offices via mobile communications has added to the overall data volume HIGHER DRILLING COSTS and THINNER RETURNS on exploration, particularly shale exploration, means companies are needing more data and better refined data to ensure the highest profitability of drilling success The NEED TO GATHER more subsurface data and evolution of systems that could communicate with each other has allowed for INTEGRATION OF DATA Smart Thermostats 2% The industry has overcome the challenge of storing data, and is addressing the challenge of how to make data ACCESSIBLE to employees and using BIG DATA for a competitive business advantage.

4 DAY 1 TUESDAY, 19 th MAY :00 Registration and coffee 8:55 Welcome note from Fleming Gulf 9:00 Opening remarks from the Event Chair BIG DATA TO DRIVE BIG CHANGE 9:10 KEYNOTE Energy in the Big Data Era Need to strategize on customer intelligence strategy The much needed Big Change - Investing the Investment Climate for Big Data across GCC 9:25 KEYNOTE The Role of the Management in Establishing A Big Data Ecosystem Creating a compelling business case for Big Data Analytics Justifying the overall investment, manpower and cost in developing a Big Data EcoSystem Understanding the potential business benefits and value of Big Data Dr. Satyam Priyadarshy, Chief Data Scientist Halliburton, Washington D.C, United States of America 9:40 FOCUS TOPIC Extracting the Real Business Value Using Big Data Analytics Decoding Seismic Data Science: Reflection Seismology and Hadoop How the Analytics enables you to connect directly to Hadoop or any other system, then transform, cleanse, load and analyze data in seconds Explore solutions to be able to solve real-world problems in the telecommunications for extraordinary results Ahmad Yaghoobi, Boeing Technical Fellow, Enterprise Architecture, Advanced Analytics & Visualization, Greater Seattle Area, United States Of America 10:10 Morning coffee and networking STRATEGIZING ENERGY IN THE BIG DATA ERA 10:40 PRESENTATION Revealing Emerging Technology and Trends in Analytics Evolution Understanding the impact of Social Media Exploring Data-Driven decision making enabled by Business Analytics solution Special Showcasing Analytics Evolution in the GCC Awad Ahmed Ali El Siddig, Infrastructure & Data Center Department.Senior Database Administrator, ADNOC Distribution, United Arab Emirates 11:10 PRESENTATION Big Data, Big Savings Approaching Large Scale Data at a Lower Cost by ensuring Cost Effectiveness Establishing and sustaining multiple Big Data Analytics initiatives in a cost-effective way Exploring Smart Data Solutions - Cost savings strategies to eliminate any exorbitant cost Drs Pieter J. den Hamer, Lead Big Data, Business Intelligence & Analytics, Alliander, Netherlands 11:40 TECHONOLGY TRACK A The role of Cloud Computing and Big Data in Energy Exploration Revolutionising Faster Drilling and Smarter Excavation Using Big Data to improve service efficiency and enhance the experience Implementing a technology center of excellence to provide Big Data infrastructure support for Effective protection of refineries and sensitive construction sites Amit Kar, Engineering IM Delivery Team Lead MENA, Shell, United Arab Emirates 12:10 PRESENTATION Using Cross-Domain Data Management for Energy Generation Visualizing Big Data and creating a long term Big Value momentum Building the foundation for Big Data (drivers behind BI program) lessons learned Plotting Big Data on your strategic drivers Muhammad Sajith, Specialist - Infrastructure IT Services Information Technology, Emirates Global Aluminium, United Arab Emirates 12:40 Prayer Break & Luncheon 13:40 Opening Remarks from the Event chair ENERGY SECTOR 13:40 PRESENTATION Buzz to Bizz : Exploring the need of Big Data in Smart Cities Managing the data explosion and the increase of new devices both in and attached to the network Analysing new and different types of data in different formats - unstructured, semi-structured, social, streamed etc Processing relevant data faster to benefit customer retention, quality of experience, upselling, next best action, fraud managements etc Dr Mohamed Guidoum, Corporate Strategy & Performance Lead, ADWEA, United Arab Emirates 14:10 TECHNOLOGY TRACK B Big Data to Secure Networks from Fraud Detection and Prevention Building a business case, providing the depth of data analysis required as well as the key metrics and analytics that can be implemented/ extended with a Big Data project Using what you already have effectively rather than investing in additional services Emerging Threats and 21st century challenges, developing a new concept of crisis management Issa Al Balushi, Head of Operational Support, Real Time Operation (RTO) Team, Petroleum Development Oman (PDO), Oman 14:40 PRESENTATION Turning Big Data into Power The Big Data exponential growth in the wake of Smart Grids Fulfilling Demand Response with Peak Load Reduction and Dynamic Pricing Gaining Insights by delivering a Smarter Experience with Big Data Analytics 15:10 PRESENTATION Emergence of Big Data and Analytics for Grid Operations and Smart Metering Insights into Detailed Load and Voltage Data to provide improved Power Quality Offering fewer outages on usage-based and lower technical losses Improve Load forecasting and Demand Accuracy using Deep Analytics data zone Using analytics to perform Predictive Maintenance and Condition Based Maintenance Marwan Razzo, Quality & Performance Manager, Aramco Services Company / King Abdullah Petroleum Studies and Research Center, United Arab Emirates 15:40 Afternoon coffee and networking 16:10 ENGAGEMENT ROUNDTABLE Big Data, Big Opportunities Inviting everyone present at the forum to form 2 teams. Both teams come up with 5 Challenges each. It is open up for Solutions to the other team and the participants exhibiting at the event. Beyond the Hype - Future of analytics and Business Intelligence in the Energy Sector Exploring into ventures to be explored by Oil & Gas and Utilities 16:50 Closing remarks from the Event chair 17:00 Networking cocktail reception

5 DAY 2 wednesday, 20 th MAY 2015 WORKSHOPS 9:00 Data Analysis and Learning the use of (Intelligent) Agents Emerging data-driven analytical techniques in the Energy industry are becoming increasingly important to achieve operational excellence by providing tools that enhance decision-making and operational efficiency under changing conditions. These advanced techniques are agile, flexible, repeatable and systematic, with less reliance on either heavy simulators or ad-hoc approaches. This session describes applications of machine learning to Energy applications and benefits and limitations of different methods. Special attention will be paid to linking learning with real-time optimization of complex systems. This is also aimed to promote knowledge sharing with case studies on the production optimization and reliability, supply chain optimization, asset development planning and optimization, data visualization, and acquisition and treatment of big data. This is especially the case for informed decision-making under multisource uncertainties (e.g. Utilities failure, oil and gas prices) and an ever changing environment. Key highlights : BigData: Distributed File System Data Mining Vulnerability Assessment Predictive Analysis Who will benefit : The intended audience of this workshop will be professionals who are responsible for data strategy, analytics, big data, technology and process, business intelligence, asset management, operations and customer analytics and engineers, researchers, operation staff, research operation staff, geo-scientists, consultants, and managers who are interested in the use, development and evolution of data analytics. The workshop hopes to attract a balanced mix of disciplines to enhance the exchange of information, ideas, and technologies. 12:00 Luncheon 13:00 Big Data Security and Privacy Security and privacy issue is critical for Big Data. Many works have been carried out focusing on business, application and information processing level from big data, such as data mining and analysis. However, security and privacy issues in Big Data are seldom mentioned to date. Due to its extraordinary scale, security and privacy in Big Data faces many challenges, such as efficient encryption and decryption algorithms, encrypted information retrieval, attribute based encryption, attacks on availability, reliability and integrity of Big Data. Key highlights : Topics of interests include : Distributed data analysis platforms Scalable solutions for pattern recognition Stream processing and parallel batch processing technologies Trusted platform implementation technologies for Big Data Analytics Information quality/trustworthiness for Big Data Provenance of content for Big Data Visualizing large scale security data Privacy in Big Data mining and analytics Threat detection using Big Data analytics High Performance and Efficient Data Cryptography

6 WHO?? Who is spending on big data in 2015 Finance $6.4 B $ Software $2.8 B Govt $2.8 B Media/ Communication $1.2 B Energy $800 M 25% 26% 22% 40% 54%? WHY? The Companies that use Big data Analytics are 2X more likely to have high financial performance 5X more likely to make faster decisions 3X more likely to have better execution 2X more likely to use data to make decisions

7 Participation by Geography Middle East 78% USA 5% Africa 9% Asia Europe 5% Participation by designation CXO, MD, GM, President 8% VP, Director, DGM, Head of Division 2 Senior IT Specialists 8% Senior Big Data Experts 24% Heads of Analytics and Business Intelligence 9% Senior Advisors 2 Consultants 5% How important is Big Data relative to other priorities in Sectors? Aviation 61% 29% 10% Wind 45% 45% 6% Power Generation 31% 6 6% Power Distribution 28% 56% 16% Oil and Gas 31% 56% 9% Rail 40% 47% 10% Manufacturing 42% 45% 9% Mining 24% 55% 18% Top/Highest Priority Within the top five priorities Within the top three priorities Not a priority