Description
Product Category: Best Practices Guides
Format: PDF
Best Practices for End-of-Life (EOL) Planning for AI Models
The retirement of AI models is a critical phase in the artificial intelligence lifecycle that requires careful planning and execution to minimize disruption while ensuring continuity of business operations. As models age, they may become less effective, more costly to maintain, or misaligned with business objectives and regulatory requirements. Here are best practices for planning and executing the end-of-life process for AI models, addressing key aspects such as impact assessment, stakeholder communication, data management, and transition planning. Implementing these practices helps organizations maintain operational efficiency while smoothly transitioning to newer solutions that better serve their needs.
Paid subscribers can login and download the PDF file. In addition to this, there are 100 other Best Practices guides in this series. For a complete list of Best Practices, please visit https://www.kognition.info/best-practices-guides/
