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AI/ML solution lifecycles typically consist of three main stages that represent the solution’s progression from its initial deployment to its continuous improvement over time.
Adoption: Discover the crucial steps to kickstart your AI/ML journey. Learn how to identify the right problems to solve, collect the necessary data, and develop a solid foundation for your solution.
Adaptation: Uncover the secrets to refining and enhancing your AI/ML solution. Understand how to address challenges, incorporate user feedback, and continuously improve the performance of your models.
Evolution: Stay ahead of the curve by making continuous improvements to your AI/ML solution. Explore advanced algorithms, leverage emerging technologies, and scale your solution to meet the ever-changing business landscape.
Download this ebook to gain a holistic understanding of AI/ML solution lifecycles from inception to maturity.