The surest way to value with AI is to use the tools that leverage your organization’s hard-won expertise and that integrate with the systems you have now.

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Choosing between Java and Python for AI agents should depend on your team's existing expertise and technology stack, not trends. While Python dominates AI development due to its accessibility and rich ecosystem, Java developers can build equally effective agents using frameworks like Embabel. Organizations will achieve faster AI adoption by leveraging their current tools and skills rather than switching to unfamiliar technologies. By 2028, 80% of generative AI applications will be built on existing data management platforms, reinforcing the value of working with what you already have.

Java or Python for building agents?

It’s refreshing to hear that success isn’t about learning a new language, but mastering the one you already love.

Well said, organizations tend to go for what is trendy, forgetting there are some solutions already present in the company tech stack

“If you’re already invested in one ecosystem, switching to another (just because it’s trendy) is usually a losing proposition.” I agreed on this part