How is Snowflake speeding up the development of AI apps and models?

Snowflake introduced several tools:

• Data Science Agent: Turns natural language prompts into working code within Snowflake Notebooks to accelerate model experimentation.
• Cortex Agent APIs: Allow developers to build complex AI-powered apps that combine Large Language Models (LLMs), search, SQL, and analytics in a single API call.
• SPCS (Snowpark Container Services) Updates: Now supports async jobs, job execution history, and model serving directly through the UI, so you can deploy and monitor models without managing Kubernetes.