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ML-driven startups have been on the rise, leveraging the power of artificial intelligence and data analytics to disrupt various industries. However, as these startups evolve and grow, they face a unique set of challenges that come with scaling up. This article explores the key challenges that ML-driven startups encounter and the strategies they can employ to overcome these obstacles, ensuring sustainable growth and success in the dynamic world of technology. Strategies for scaling up successfully include investing in data management, building a talent pipeline, investing in infrastructure, staying compliant, and testing and refining business models.
