How can we ensure scalability in AI development?

How can we ensure scalability in AI development?

Scalability in AI development can be ensured by designing modular architectures, using cloud resources, and optimizing algorithms.

What are some common challenges faced in scaling AI systems?

Common challenges include data management, computational resource limitations, and maintaining model performance as the system scales.

Can you give examples of scalable AI applications?

Sure! Examples include recommendation systems, fraud detection systems, and natural language processing applications that handle large datasets.

What role does cloud computing play in AI scalability?

Cloud computing provides on-demand resources, allowing AI systems to scale efficiently without the need for extensive on-premises infrastructure.