Keyvan Azami leads enterprise AI engineering at Google NYC. He and his team look for opportunities to leverage ML research in powering Google's internal products and solutions. Outside Google, Keyvan is the commissioner for a kids soccer league in his town in NJ as part of the Police Athletic League.
Past Talks
17 May 2024
As senior management in the Enterprise AI section of Google, Keyvan offers a fresh perspective on integrating Artificial Intelligence into your teams. He transforms the conventional view of AI from a challenging issue into a dynamic tool. Keyvan will walk through practical strategies for incorporating AI into your projects, managing expectations, and improving user interactions with a human-centric focus. Keyvan urges us to recognize AI's potential as a multifaceted tool for diverse problem-solving, moving beyond restrictive applications. Key Points discussed:
- Practical AI Use Cases: Learn to identify where AI can genuinely enhance your product lifecycle. Keyvan will guide you through selecting suitable AI applications that align with your team's goals and project demands
- Managing Expectations with AI: Understand how to set realistic business expectations around AI initiatives. Keyvan will discuss integrating probability-based outcomes into AI workflows, enabling more informed decision-making and expectation management
- Google’s Approach to AI: Gain insights into Google's internal strategy for AI, emphasizing user value and process optimization. Discover how a leading tech giant approaches AI to ensure its contributions are meaningful and impactful
By attending Keyvan's talk, you'll leave with a clearer understanding of how to effectively integrate AI into your product teams, fostering innovation while staying grounded in user-centric principles
17 May 2023
Every product will contain some form of AI going forward. This poses two challenges for product teams: how to work with AI and how to work if there is AI.
How to work with AI
There is a big UI shift away from menus towards more prompt focussed applications. What are the new patterns that teams need to learn?
How to work if there is AI
Copilot is writing 40% of the code that people write. Generative UI apps are able to create Figma editable mockups from prompts. How will the roles within a team shift when AI’s can start taking on more of the work.
Head of Product Design, Responsible AI