Free viewing now available | A platform that integrates fragmented data to accelerate AI utilization and drug discovery efficiency.
To maximize the effects of AI implementation, a consistent foundation that can be utilized not only with high-precision models but also through actual operations is essential. However, in many workplaces, the fragmentation of data and ML environments poses challenges for model deployment and integration. Our website currently offers free access to webinar videos (with Japanese subtitles) that address these issues. ▼ You can watch it by clicking "Watch Video" at the bottom left of the screen ▼ This solution is a collaborative ML platform that integrates distributed data and computational tools, allowing for real-time sharing of models, features, and experimental results. It streamlines the collaboration between computational scientists, data scientists, and researchers from model building to operation. Furthermore, it leverages high-quality data derived from physical simulations to achieve reliable predictions. By automating MLOps, it supports the rapid deployment and utilization of models. First, please check the video to see its effects.
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basic information
【Points of this Session】 - Lowering the barriers to AI implementation: An overview of a platform that integrates computational chemistry and machine learning without the need for complex infrastructure (MLOps). - Utilizing existing data (physics-based simulations): Methods for building and deploying reliable ML models based on standard data obtained from Schrödinger simulations. 【Target Audience】 This webinar is suitable for leaders and practitioners who drive improvements in efficiency and accuracy in drug discovery by leveraging advanced computational science and AI. - Heads of computational chemistry, AI/ML, and research and development (R&D) departments. - Lead personnel in cheminformatics and MLOps. - Computational chemists and computational biologists. - Strategists in informatics and data science.
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Company information
Schrödinger Co., Ltd. is the Japanese subsidiary of Schrödinger Inc., headquartered in New York, USA. Schrödinger has a history of about 30 years in developing software that integrates advanced technologies in chemistry and computer science, primarily in the fields of materials science and life sciences, providing advanced solutions for drug discovery, biologics, and materials research and development.
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