



Ensuring models remain effective over time What are the challenges of validating and testing AI/ML models within the SDLC?
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what does sdlc mean Informational
- Identifying Defects Early What are metrics used in SDLC?
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- Ensuring Data Integrity What is a disaster recovery plan?
- Contractual agreements, security measures, clear ownership of code and designs
- Facilitating Collaboration What are some tools used in different phases of the SDLC?
- Building Security into Every Stage of Development
- Identifying Vulnerabilities in the Software
- Specific checkpoints where the software must meet certain quality criteria before proceeding
- Integrating data science expertise into the development process What are the key differences between a traditional SDLC and an Agile SDLC when developing AI/ML applications?
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