Speaker "Lapi Dixit" Details Back



Big Data Challenges and Opportunities in the Oil and Gas Industry


The Oil and Gas industry generates and consumes large volumes of data throughout the exploration and production lifecycle. Data is captured, processed, interpreted, visualized, stored and re-used. To create value and exploit large data volumes, innovative solutions and technologically advanced approaches are needed in upstream oil and gas. Big data technologies have a critical role to play in addressing many of these challenges. This talk will discuss trends in Big Data in the Oil and Gas industry, opportunities driven by innovations in computing and visualization, and challenges in deploying these technologies in the oil and gas vertical.


Lapi Dixit is Chief of Products for Information Management and Platform Technologies at Landmark Software and Services. His responsibilities include driving strategy and development of the DecisionSpace® Platform – energy industry’s open, standards-based platform used extensively for data management, search, quality and analytics, with structured, unstructured and big data across geosciences, engineering, drilling and production workflows.Lapi and his organization are responsible for driving innovation in big data storage, computation, visualization and analytics in E&P software for the oil and gas industry. His portfolio includes flagship data stores, which have long been industry leaders, and which continue to evolve with latest big data compute and storage technologies. In addition to responsibilities for the core advancement and innovation on the platform, Lapi drives adoption of the platform with key global accounts in the energy industry. Prior to joining Landmark in 2014, Lapi was Director of products and strategy at Cisco Inc., where he spent 12 years at various divisions including Collaboration, Security, Management, Routing and Switching. At Cisco Lapi led product management, strategy and marketing for a variety of products including Video, TelePresence, Security, Analytics and Network Management, Prior to Cisco, Lapi was with Globalstar in their systems and software group, responsible for building and deploying software for voice communications. Lapi has published research on Quality of Service, traffic engineering, software performance and visualization for machine data. He holds a PhD in Computer Engineering and Statistics from North Carolina State and an MBA from Northwestern University’s Kellogg School of Management.