AI at scale: Managing ML models over time & across use cases

Managing the lifecycle of machine learning models is essential for long-term success in AI. While it's easy to get started with AI-powered services, maintaining and scaling them over time proves to be a challenge due to the constant availability of new models and their performance decaying over time. To address this, tracking model performance and adapting to changing contexts is crucial. Algolia handles this complexity on behalf of its customers, providing proprietary models and augmenting pipelines with existing pre-trained models, while also monitoring model performance to help customers achieve their business KPIs.

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