Create a comprehensive framework for assessing technical debt in a large codebase. The framework should outline steps for AI-driven code analysis, metrics for quantifying debt (e.g., complexity, duplication, outdated dependencies), methods for prioritizing debt based on business impact and technical risk, and recommendations for remediation strategies. Include examples of specific AI tools or techniques that could be employed at each stage.

Develop a personalized learning path for an employee who is a mid-level marketing specialist aiming to transition into a product management role. The employee's current skills include digital marketing strategy, content creation, and basic analytics. Their preferred learning style is hands-on projects and case studies. Generate a structured learning path that includes recommended courses, readings, practical exercises, mentorship opportunities, and key milestones over a 6-month period, specifying resources and estimated time commitments for each.

Analyze a fictional e-commerce business's data privacy practices against the GDPR framework. Identify potential compliance gaps and provide actionable recommendations. The business collects customer names, email addresses, purchase history, and browsing behavior. They store this data in cloud-based servers and use third-party analytics tools. Outline specific areas of potential non-compliance and suggest concrete steps to achieve full GDPR adherence.