cLCG

Remote Monitoring and Management Service Management Managed Threat Response IaaS Qualification AI Generative AI LIMS SaaS CDMS Module Type Package AI Agentic Continuous Validation IT Operations Management Risk Management Project Manava Margo Standard MTP Agentic Framework cCMMS Laboratory Information Management System Continuous Validation PLCs Chatbots ContinuousSM ContinuousLabs Software Validation Podcast Software Development Life Cycle Alarms Management FDA CSA Chat with Data ContinuousRM ContinuousDM Implementing AI Continuous CMMS Enterprise AI Document Management ContinuousITOM OT Operations Management ContinuousDI cDI Suite Predictive Maintenance ContinuousGPT AI Co-pilots ContinuousALM VAM DAM Preventive Maintenance ALM GxP ContinuousRMM Temperature Mapping SaaS Validation Cloud Validation Life Cycle Governance PaaS Qualification ContinuousTM GxP AI Search ContinuousPM DataOps AI in Coding Predictive Analytics CAM SDLC Service as a Software (SaaS)Intelligent Maintenance Risk Assessment Artificial Intelligence Email Protection ContinuousPdM ContinuousMTR ContinuousMP Data Integrity cLCG Incident Operations Management Clinical Data Management Continuous Governance

Life Cycle GovernanceLife Cycle Governance

+2+2

AP013: Continuous Lifecycle Governance (cLCG) for AI Apps

Fred & Melody

Life Cycle GovernanceLife Cycle Governance

+2+2

#039: Continuous Lifecycle Governance (cLCG) for AI Apps

As artificial intelligence (AI) becomes increasingly integral to various industries, including lifesciences and finance, the safe, ethical, and continuous validation of AI has emerged as a top priority

Nagesh Nama

Kashyap Joshi

Nagesh Nama, +1