A primary challenge for developers is moving AI agent prototypes into reliable production systems because it requires stringing together disparate services for identity, governance, and memory.

Dave Elliott believes AI has been truly democratized in the last six months, reaching a point where almost anyone can build applications with it.

Google has launched the Gemini Enterprise Agent Platform, an end-to-end platform for building, scaling, governing, and optimizing AI agents.

The Gemini Enterprise Agent Platform provides a feature called "Memory Bank" for managing agent memory across sessions, which is now generally available.

The Gemini Enterprise Agent Platform has a new "optimize" pillar that includes features for agent evaluation, simulation, and an enterprise-wide dashboard.

Dave Elliott believes the field of traditional machine learning will accelerate because breakthroughs in academic research now have more direct paths to monetization and application.

Google's Agent Development Kit (ADK), a framework for building AI agents, supports Python, Go, TypeScript, and Java.