The “Agentic Era” of AI is here, promising to revolutionize how we interact with and extract value from our data. But as with any powerful new technology, there are pitfalls. This session will explore the common challenges and best practices for deploying AI agents.
We’ll delve into how companies are leveraging Google’s Gemini 2.5 models, Google ADK, Agent Engine and Agenspace and the innovative Agent-to-Agent (A2A) protocol to build the next generation of AI agents. You will learn how this collaboration is enabling more accurate and reliable data extraction, complete with confidence scores, to transform workflows in financial services, legal, HR, and beyond. Join us to discover how to navigate the complexities of the agentic era and unlock the full potential of your organization’s data.
Dr. Ali Arsanjani is the Director of Applied AI Engineering at Google Cloud, and Head of the AI Center of Excellence, within the Google Cloud Product Engineering organization. Ali leads Generative and Agentic AI initiatives that enable customers and partners with the best practices and tools that bring the capabilities of the Google Cloud AI platform to solve tactical and strategic challenges through best practices and assets and achieving strong partnerships through strategic product co-innovation.
Ali is an Adjunct Professor at San Jose State University and the University of California, San Diego, where he teaches and advises students in the Masters in Data program and the Data Science Institute, respectively.
You can find his blogs on Medium.