This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the RadarUnderstand more
TrialWorth pursuing. It is important to understand how to build up this capability. Enterprises should try this technology on a project that can handle the risk.
lifelines is a library for survival analysis in Python. Originally developed for birth and death events, it has evolved into a complete survival analysis library to predict any duration of time. Beyond medical use cases (such as answering, How long does this population live for?), we've used it in retail and manufacturing to answer questions like How long users are subscribed to a service? or When should we do the next preventive maintenance?