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Enterprises may be concerned about the impact of AI applications when put into production, but hampering these projects with guardrails at the onset could slow innovation.
Andrew Ng, founder of DeepLearning AI and one of the most prominent figures in AI development, emphasized the importance of observability and guardrails in AI development during a fireside chat at VB Transform today. However, he added that these should not come at the cost of innovation and growth.
Ng suggested that enterprises build within sandboxes to prototype projects quickly, find the pilots that work, and start investing in observability and guardrails for these applications after they have proven to work. This may seem counterintuitive to enterprises looking to implement AI.
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