It definitely saved significant time because testing 10 models previously took an extensive amount of time and added additional cost to the company. When we started using H2O.ai, it reduced both the cost and the company expenses related to cloud infrastructure. From that perspective, it truly saved substantial cost and time.
Data Science Platforms empower data analysts to develop, evaluate, and deploy analytical models efficiently. They integrate data exploration, visualization, and predictive modeling in one cohesive environment.These platforms serve as indispensable tools for data-driven decision-making, providing intuitive interfaces and scalable computing power. They enable seamless collaboration between data scientists and business stakeholders, allowing actionable insights to drive strategic initiatives...
It definitely saved significant time because testing 10 models previously took an extensive amount of time and added additional cost to the company. When we started using H2O.ai, it reduced both the cost and the company expenses related to cloud infrastructure. From that perspective, it truly saved substantial cost and time.
The pricing of H2O.ai was similar to that of Azure. That said, it was a bit expensive.