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Rett Crocker is a highly experienced product leader known for his significant contributions in the field of artificial intelligence, particularly in conversational AI and large language models. He has a strong background in developing and scaling innovative technology products that reach millions of users. Rett is recognized for his strategic vision, user-centric approach, and ability to lead cross-functional teams in dynamic environments. His work often involves bridging the gap between cutting-edge research and practical, impactful product applications.
Rett Crocker's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Played a key leadership role in the product development and strategy for Google Assistant, helping to shape it into one of the world's leading virtual assistants and significantly expanding its capabilities and user base.
Instrumental in driving product strategy and development for Google's efforts in large language models, including contributions to projects like Bard (now Gemini), focusing on bringing advanced AI capabilities to users.
Consistently pushed the boundaries of conversational AI, focusing on making interactions more natural, intuitive, and helpful, thereby enhancing user experience across various Google products and services.
Successfully led teams to launch and scale multiple AI-powered products and features that have reached a global audience, demonstrating an ability to manage complex product lifecycles effectively.
University of California, Berkeley - Year 1989
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
udu provides a no-code AI platform that enables businesses to build and deploy custom AI models for text and image analysis without needing data science expertise. It empowers users to automate tasks, extract insights from unstructured data, and improve decision-making by simplifying the creation of tailored AI solutions for various use cases like content moderation, sentiment analysis, and object detection.
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