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
May 6, 2024
- Normalyze Innovates to Secure LLMs and Data Lakes Against Emerging Threats
- Couchbase Survey Finds Enterprises Plan Massive Spend on AI, with Over $21M Allocated in 2023-24
- Elastic Enhances Security Operations with AI-Assisted Attack Discovery and Analysis
- UCSD Researchers Develop New Framework to Curb Undesirable AI Outputs
May 3, 2024
- IDC: Structured Database Workloads Drive Major IT Infrastructure Spending in Late 2023
- Oracle Database 23ai Brings the Power of AI to Enterprise Data and Applications
- Solodev Debuts Advanced AI Services to Boost Cloud-Based App Development
- Sigma Announces AI Toolkit for Business and Launches Sigma Actions to Support Custom Data Applications
- New Salesforce White Paper Tackles LLM Security Risks
May 2, 2024
- Informatica to Welcome Data and AI Visionaries at Informatica World 2024
- Tealium for AI Launches to Address Data Readiness and Governance Challenges in AI Projects
- Eviden to Launch Applied AI and Edge AI Training Center in Collaboration with NVIDIA and UMBC Training Centers
- Airbyte Introduces Comprehensive Partner Program to Enhance Data Movement Services
- Dremio Enhances SQL Engine Capabilities for Optimal Performance in Data Analytics
- Galileo Introduces Protect, a Real-Time Hallucination Firewall to Safeguard Enterprise Generative AI
- LakeChime: A Data Trigger Service for Modern Data Lakes
- Confluent Unveils New Capabilities to Apache Flink Including Freight Clusters for Cost-Effective Data Handling
- Satellogic Releases Open Dataset for AI Model Training
- Tableau and Databricks Expand Strategic Partnership
May 1, 2024
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
-
Get your Data AI Ready – Celebrate One Year of Deep Dish Data Virtual Series!
-
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
-
AI & Big Data Expo North America 2024
June 5 - June 6Santa Clara CA United States -
CDAO Canada Public Sector 2024
June 18 - June 19 -
AI Hardware & Edge AI Summit Europe
June 18 - June 19London United Kingdom -
AI Hardware & Edge AI Summit 2024
September 10 - September 12San Jose CA United States -
CDAO Government 2024
September 18 - September 19Washington DC United States