Schlumberger, Dataiku Tech Partnership Aims to Enable Enterprise-Scale AI in E&P
NEW YORK, Dec. 12, 2019 — Schlumberger and Dataiku have entered into an exclusive technology partnership that will enable the E&P industry to build and deploy their own artificial intelligence (AI) solutions across the full breadth of their upstream workflows within the DELFI* cognitive E&P environment.
The partnership will deliver unprecedented capabilities to petrotechnical domain experts in response to global demand for AI, bridging the gap between machine learning and domain expertise to enable better insights. The industry will have access to an innovation platform where data scientists—experts in the development of AI solutions—can accelerate the deployment of new solutions across their organizations. In addition, making Dataiku technology available in the DELFI environment equips petrotechnical experts to build and extend workflows by leveraging machine learning and data science capabilities that are supported by a rich algorithm library.
Combining existing Schlumberger digital tools and solutions with the proven enterprise AI technology from Dataiku means a ready-to-deploy full machine learning solution will be available at enterprise scale to the E&P industry.
“The technology partnership between Dataiku and Schlumberger will accelerate innovation in our industry. Democratizing AI at enterprise scale enables our customers to rapidly create new ways of working to gain powerful new insights from their planning and operations data and workflows. We are empowering industry professionals who have first-hand understanding of E&P challenges with the ability to amplify differentiation by creating impactful, fit-for-purpose AI solutions themselves. The ability to prototype, prove and deploy innovative solutions across oil and gas operations is now a possibility for all,” said Trygve Randen, president, Software Integrated Solutions, Schlumberger.
“Starting this journey with Schlumberger means further accelerating and expanding the application of leading AI capabilities for users of the DELFI cognitive E&P environment. The game-changing solutions enabled for data-driven projects will deliver new insights and rapid business impact for the upstream sector. At Dataiku, we’re excited to enter a partnership where our vision of democratizing AI in the enterprise through collaboration across the business so closely matches the open approach of Schlumberger in digitally transforming workflows for the E&P industry,” said Florian Douetteau, CEO, Dataiku.
*Mark of Schlumberger
About Schlumberger
Schlumberger is the world’s leading provider of technology for reservoir characterization, drilling, production, and processing to the oil and gas industry. With product sales and services in more than 120 countries and employing approximately 105,000 people who represent over 140 nationalities, Schlumberger supplies the industry’s most comprehensive range of products and services, from exploration through production, and integrated pore-to-pipeline solutions that optimize hydrocarbon recovery to deliver reservoir performance. Schlumberger Limited has executive offices in Paris, Houston, London and The Hague, and reported revenues of $32.82 billion in 2018. For more information, visit www.slb.com.
About Dataiku
Dataiku is the centralized data platform that democratizes the use of data science, machine learning, and AI in the enterprise. With Dataiku, businesses are uniquely empowered to move along their data journey from data preparation to analytics at scale to Enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies.
Source: Dataiku
March 28, 2024
- Lightning AI’s New Thunder Compiler Boosts AI Development Efficiency by 40%
- Intel Gaudi 2 Remains Only Benchmarked Alternative to NV H100 for GenAI Performance
- Appen Launches Solution for Enterprises to Customize LLMs
- MineOS Unveils AI Asset Discovery
- Cloudera Survey Reveals 90% of IT Leaders Believe that Unifying the Data Lifecycle on a Single Platform is Critical for Analytics and AI
- Snowflake Enhances Secure, Cross-Cloud Collaboration for High Value Business Outcomes with Snowflake Data Clean Rooms
- Domo Announces Winners of the 2024 Community Ovation Awards
March 27, 2024
- New MLPerf Inference Benchmark Results Highlight the Rapid Growth of Generative AI Models
- Qlik Advances Real-time Data Analytics with Solace PubSub+ Platform Integration
- Samsung Unveils Expanded CXL Memory Module Portfolio at Memcon 2024, Enhancing AI and HPC
- Celestial AI Closes $175M Series C Funding Round Led by US Innovative Technology Fund
- Databricks Launches DBRX: A New Standard for Efficient Open Source Models
- Astronomer Unveils New Capabilities in Astro to Streamline Enterprise Data Orchestration
- DataVisor Introduces Enhanced Anti-Money Laundering Solution to Support Financial Institutions
March 26, 2024
- Dremio Announces General Availability on Microsoft Azure
- Elastic Study Highlights Soaring Optimism in Generative AI Investment Despite Data and Security Challenges
- Dataiku and PwC Bring Practical AI Solutions to Regulated Industries
- HPE Leverages GenAI to Enhance AIOps Capabilities of HPE Aruba Networking Central Platform
- DataStax and Microsoft Collaborate to Make it Easier to Build Enterprise Generative AI and RAG Applications with Legacy Data
- SQream and Qantm AI Partner to Solve Enterprise Data and AI Challenges
Most Read Features
Sorry. No data so far.
Most Read News In Brief
Sorry. No data so far.
Most Read This Just In
Sorry. No data so far.
Sponsored Partner Content
-
Supercharge Your Data Lake with Spark 3.3
-
Learn How to Build a Custom Chatbot Using a RAG Workflow in Minutes [Hands-on Demo]
-
Overcome ETL Bottlenecks with Metadata-driven Integration for the AI Era [Free Guide]
-
Gartner® Hype Cycle™ for Analytics and Business Intelligence 2023
-
The Art of Mastering Data Quality for AI and Analytics
Sponsored Whitepapers
Contributors
Featured Events
-
Data Universe
April 10 - April 11New York United States -
Call & Contact Center Expo
April 24 - April 25Las Vegas NV United States -
AI & Big Data Expo North America 2024
June 5 - June 6Santa Clara CA United States -
AI Hardware & Edge AI Summit 2024
September 10 - September 12San Jose CA United States