Upcoming Events


  • Traditional X-mas Dinner 2017

    Thursday, December 7, 2017, 5:30 PM - 10:30 PM CET
    Traditional X-mas Dinner December 7th 2017 Topic:  Essential Prerequisites for Maximizing Success From Big Data Presenter: Muhammad Khakwani (Distinguished Lecturer) An Extra 45 Minutes Can Provide a World of Knowledge Program outline: 17.30-18.00    Recepetion and ice breaker 18.30-19.30    Presentation with Q&A 19.30-23.00    Dinner and networking The lecture will be followed by "Pinnekjøtt" dinner.    Please let us know if you have any restrictions. Abstract   Big Data is an emerging technology in Information Management that holds promising returns on investment, as it can provide advanced analytics capabilities. It is well suited for large enterprises, and when used properly, it can lead to breakthroughs in analytics, deriving information from data that was previously not possible. However, a Big Data project cannot be approached using traditional IT system design and methods. Its success relies on teamwork and collaboration among petroleum engineering subject matter experts, senior IT professionals, and data scientists. To ensure that Big Data initiatives do not deliver poor results or disappoint, Big Data projects require significant preparation, which dramatically increases the chances of success. This presentation provides practical information about how to get started and what to consider in your plan, and it gives useful tips and examples for planning and executing a Big Data project. At the end of the presentation, attendees will know what Big Data is, what it offers, how to plan such projects, what the roles and responsibilities are for the key project members, and how these projects should be implemented to benefit their organization. Big Data analytics offers enterprises a chance to move beyond simply gathering data to analyzing, mining, and correlating results for insights that translate into business solutions.   Biography Muhammad S. Khakwani is a Senior Information Systems Consultant and the leading Data Architect for Upstream data at Saudi Aramco. He has more than 25 years of experience in the IT industry working for large enterprises in Canada and the United States, and for the last 17 years in the Oil & Gas industry in Dhahran, Saudi Arabia. He has in-depth expertise in database design as well as data management, standardization, and governance. He has designed and implemented data warehouse solutions, formulated Real-Time data strategies, and devised controls for Data Security for Saudi Aramco. His current responsibilities include designing and managing the Upstream enterprise data model, as well as strategizing and managing policies related to the corporate Upstream database necessary to meet changing business needs at Saudi Aramco. He has a BS from University of Western Ontario, and an MIS from Webster University.
    Oslo, Norway