Domino Data Lab and EPAM Partner on Validated AI for Life Sciences
Domino Data Lab and EPAM will help life sciences organizations deploy GxP validated AI models and governed analytics across research and development, the companies announced in a press release.
The partnership combines the Domino enterprise AI platform with EPAM's systems engineering and life sciences expertise. Integration teams will help customers modernize legacy code, connect AI tools with existing IT systems, and meet governance and revalidation requirements.
The companies will support AI agents, large language models, and machine learning pipelines for genomic research and target identification. They will also provide a governed statistical computing environment for SAS, R, and Python, along with tools for standardizing real world datasets on a secure analytics layer.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief, Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Sep 29 CGI Federal Launches AI Agent Catalog for US Agencies Sep 29 NCS Analytics Adds CCA Payment Data to Cannabis Lending Platform Sep 29 Axxess Partners With Eazewell for Hospice Family Support Sep 29 CAS and Novartis Partner on Reaction Data for AI Research Sep 29 Gryphon ONE Launches on Genesys AppFoundryMore from Life Sciences
Sep 29 Axxess Partners With Eazewell for Hospice Family Support Sep 29 AllyGPO Wins Silver Stevie Award for AllyIQ Platform Sep 29 AbbVie Partners With Valkai on AI Tools for Clinical Development Sep 29 Women's Heart Alliance Launches BARBRA Heart Health AI Tool Sep 29 University Medical Center Göttingen Adopts MDClone Clinical Data PlatformEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Industry analysis
2025 Global Business Services Agenda: Gen AI Takes Center Stage
This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.
Read moreYou may also like
Data Dynamics Launches Enterprise 2.0.5 for AI Data Governance
EpiVax Adds AI Models to ISPRI Immunogenicity Platform
Ai Global Solutions Launches Financial Services Practice
Deerborne Survey Finds AI Cuts Analysis Workload, Not Decision Quality
LifeLabs Learning Launches AI Training Program for Managers
Daily AI Brief: the AI news that matters, in your inbox.