This text introduces Survival Analysis and its application in Python. It is available on Towards Data Science.
Survival Analysis and its Application in Python
If you want to stay competitive and evolve your company with AI, Survival Analysis is a powerful tool to explore. It can help you identify automation opportunities and redefine your way of work.
Practical Solutions and Value:
- Locate key customer interaction points: Survival Analysis can help you pinpoint areas where AI can benefit your customer interactions.
- Define measurable KPIs: Ensure that your AI efforts have a tangible impact on your business outcomes.
- Select the right AI solution: Choose tools that align with your specific needs and offer customization options.
- Implement gradually: Start with a pilot project, gather data, and expand your AI usage strategically.
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