September 12, 2023 | 08:00 AM CST

Join this webinar to learn more about DS365.ai - a cutting-edge cloud-based solution that empowers you to create AI/ML models at scale with seamless access to quality data and app development, all combined together in a unified workflow.

With a comprehensive suite of tools, this solution helps customers to efficiently manage and QC data, rapidly build apps, utilize pre-built models, rapidly train models, or create their own innovative models from scratch. By easily deploying these models at scale, you can enhance subsurface exploration, drilling and production workflows.

Built on an open architecture, DS365.ai incorporates industry-leading components, open-source software, and industry-standard technologies. This works to ensure a simple, integrated, consistent, and powerful environment for you to bring your own data and tools as needed. This solution is designed for domain experts/citizen data scientists and data scientists at its core, enabling them to discover, train, create and deploy innovative computational models effectively, extracting powerful insights from their data.

During this webinar, our experts will showcase how DS365.ai can revolutionize the design, development, training, and deployment of AI models at scale, besides unifying DataOps, MLOps and DevSecOps.

This webinar will help you understand more about:

• The features and capabilities included in the latest release of DS365.ai

• The marketplace functionality within DS365.ai featuring pre-built ML workflows (no-code) and models (low code) built by Halliburton subject matter experts

• Training models using your own datasets and deploying them without the need for additional coding

• The Integrated Development Environment (IDE) that allows developers and data scientists to build their own ML models.

• The extensive toolkits and workflows within DS365.ai that help rapid onboarding using systematic data science training material and hands-on exercises.

Ready to discover the power of DS365.ai and unlock new levels of efficiency and productivity in your organization’s workflows?