Innovative Domain Data Scientists Program
Schlumberger's DrillPlan offers a cutting-edge solution with Delfi Data Science, a comprehensive package that fuses AI with data, analytics, and domain workflows. This innovative product enables geoscientists and engineers in the energy sector to easily construct, manage, and implement AI solutions to tackle their everyday challenges. In essence, using Delfi Data Science is as simple as working with a spreadsheet. Moreover, Schlumberger has initiated the Domain Data Scientists Program, a groundbreaking effort aimed at enhancing the AI expertise of domain experts. This program focuses on upskilling professionals in the energy industry with the latest AI technologies, ensuring they are well-equipped to meet the demands of the AI era.
Transforming Energy Industry with AI Innovation
The benefits of Delfi Data Science are manifold. It provides a user-friendly and powerful AI and analytics development toolkit that is tailored for E&P energy companies. With Delfi Data Science, users can effortlessly deploy AI solutions with a single click. The platform seamlessly integrates machine learning and analytics with various physics-based engines and the OSDU Data Platform. By harnessing AI-driven innovation, Schlumberger is revolutionizing the energy industry. Through digital transformation powered by AI, machine learning, and automation, the sector is witnessing improved efficiency, productivity, and sustainability.
Feature-rich Functionality of Delfi Data Science
Delfi Data Science is packed with an array of features designed to elevate data analytics and decision-making processes in the energy domain. The platform enables users to easily search, discover, and visualize data, providing a user-friendly interface for data exploration. By fusing data from diverse sources, including industry-specific sources, users can gain new insights and create a comprehensive pool of information. Delfi Data Science also facilitates data preparation by enhancing raw data through integration, reconstruction, and cleansing processes. The platform's visual data analysis tools aid in better understanding trends and patterns, while connecting to E&P domain engines streamlines simulations and assessments for reservoirs and exploration risks.
Simplified AI Adoption and Development
One of the key strengths of Delfi Data Science is its simplification of AI adoption and development. The platform offers a seamless path from model inception to production, enabling users to deploy models automatically and at scale. Leveraging a broad scripting environment, including R, Python, and Java, enhances extensibility and fine-tuning capabilities. With an extensive library of AI tools and resources, users can effortlessly construct data-driven workflows, supported by sophisticated analytics solutions that present complex data in easy-to-understand dashboards. Delfi Data Science further streamlines AI model evaluation by automatically ranking machine learning models extracted from various AI libraries such as Scikit-learn, Keras, TensorFlow, and more based on performance.
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