An introduction to Duet AI in Google Cloud
TLDRAt a Google Cloud event, Preston Holmes and Vijay Krishnan introduced Duet AI, a tool designed to enhance productivity in cloud services by integrating generative AI into Google Cloud Platform's products and services. Duet AI offers features like code completion, interactive chat, data exploration, and security assistance, aiming to provide in-context assistance and streamline operations. The tool is built with enterprise readiness in mind, ensuring data privacy and adherence to AI principles. With continuous improvements on the horizon, Duet AI is poised to transform the way users interact with cloud interfaces.
Takeaways
- π Duet is a Google Cloud product designed to integrate generative AI into the Cloud experience, enhancing user interactions with Cloud interfaces.
- π€ The primary goal of Duet is to act as a collaborative tool, aiding users in various aspects of Cloud operations, development, and data analysis.
- π οΈ Duet is built on Google's own R&D models like PaLM 2.0 and is tuned with high-performance infrastructure to serve enterprise needs.
- π Duet AI's capabilities include code completion, function suggestions, and even explaining code in plain English within the IDE.
- π§ The AI is designed to understand and utilize GCP services accurately due to its specialized tuning for Google Cloud Platform.
- π Duet can assist in operations by summarizing documentation, suggesting commands, and providing insights into log entries and error messages.
- π For data analysis, Duet can help craft SQL queries based on data context and even translate natural language queries into SQL.
- π‘οΈ In security, Duet can summarize threat intelligence, assist in constructing search terms, and provide plain-English explanations of vulnerabilities.
- π‘ Duet is enterprise-ready, ensuring data isolation and adhering to AI principles set by Google, including safety checks in responses.
- π The future of Duet involves richer admin controls, enhanced troubleshooting experiences, and improved collaboration in ML model building.
- π Duet's preview version is available for users to sign up and experience the integration of AI in their Cloud workflows.
Q & A
What is the main focus of Preston Holmes as a product manager?
-Preston Holmes is focused on Duet, a product aimed at improving interactions with Cloud interfaces by integrating generative AI into Google's products and services.
How does Duet differentiate from Vertex in terms of generative AI applications?
-Vertex is a platform for users to produce value using generative AI in their own products and services, while Duet is a place for users to consume the value created by Google through their generative AI integrated products and services.
What are the core principles behind Duet AI's approach to enhancing user experience?
-Duet AI focuses on infusing the context of the user's work into the model's awareness, moving towards an agent-based system for collaborative management and operation of services, and accompanying users throughout their entire journey with Cloud services.
How does Duet AI assist in code development?
-Duet AI assists in code development by providing code completions, suggesting imports, transforming comments into implemented functions, explaining code in plain English, and writing unit tests, all with an emphasis on understanding and utilizing GCP services accurately.
What was the outcome of the experiment conducted by Turing with Duet AI?
-Turing's experiment with Duet AI resulted in a 33% increase in pull request mergers, indicating a significant improvement in developer productivity.
What are some of the key features of Duet AI in assisted operations?
-In assisted operations, Duet AI provides quick and in-context understanding of product functionalities, configuration, and usage. It also offers curated experiences for acting on recommendations and debugging situations within the console.
How does Duet AI assist with data analysis in BigQuery?
-Duet AI assists with data analysis in BigQuery by providing SQL completion suggestions based on the user's data schema context, understanding natural language queries to generate SQL code, and explaining existing queries in plain English.
What is the significance of Duet AI's enterprise readiness?
-Duet AI's enterprise readiness is ensured by its design principles that segment and isolate customer data, conform to AI principles for safety, and offer customizable training while respecting data privacy and security.
What are some future enhancements planned for Duet AI?
-Future enhancements for Duet AI include rich admin controls, integrated troubleshooting experiences, collaboration in building machine learning applications, natural language search creation for security products, and iterative improvements for no-code applications in AppSheet.
How does Duet AI handle the challenge of generative AI's imperfections?
-Duet AI acknowledges the emerging nature of generative AI and its current imperfections. It encourages user feedback through mechanisms like thumbs up or down to continuously improve and adapt to the rapidly changing landscape of AI technology.
What was the key message Preston Holmes emphasized regarding the adoption of Duet AI?
-Preston Holmes emphasized the importance of early adoption and integration of Duet AI into workflows to understand its applicability and to be prepared for its ongoing evolution and improvements.
Outlines
π£ Introduction to Duet and AI Innovation
The video begins with Preston Holmes, a product manager at Google, welcoming the audience and introducing the focus of the presentation, which is Duet, a product under active development and innovation. He emphasizes the dynamic nature of AI products and highlights the distinction between Google's consumer-facing generative AI and enterprise/business solutions. The talk outlines the purpose of Vertex as a platform for value creation using generative AI and Duet as a service for consuming that value. Preston assures that what is presented is only the beginning and that the products are being developed on an ever-evolving foundation of innovation.
π οΈ Duet AI's Role in Cloud Services
Preston discusses Duet AI's role in simplifying interactions with Google Cloud interfaces, such as the IDE for developers and specialized data interaction services. He explains that Duet AI is designed to make cloud services more accessible and intuitive, even for newcomers. The presentation also touches on the challenges faced by new employees in understanding and navigating the extensive range of Google Cloud services. Preston emphasizes the importance of the user experience in Duet AI and the aim to make it easy to use for non-AI experts.
π Duet AI's Features and Integration
The presentation delves into the specific features of Duet AI, including its ability to provide expert advice and guidance in real-time, its integration into platform interfaces, and its move towards a more agent-based system. Preston talks about the long-term goals for Duet AI, such as infusing the model with direct context awareness, enhancing productivity through code and data table interpretation, and supporting users throughout their entire journey with Google Cloud Platform (GCP) services.
π¨βπ» Assisted Development with Duet AI
Preston introduces the concept of assisted development with Duet AI, using the example of a developer named Sam. He explains how Duet AI can aid in code completion, suggestions, and understanding complex codebases through an interactive chat component in the IDE. The discussion includes the benefits of Duet AI in identifying and using GCP services more accurately due to specialized tuning and the release of new features such as writing unit tests. Preston also highlights the importance of trust and transparency in using generative AI for coding, with Duet AI providing visibility into the origins of its suggestions.
π€ Collaboration with Turing and Duet AI's Impact
Vijay Krishnan from Turing shares his company's experience with Duet AI, discussing how Turing has assisted over a thousand companies, particularly large enterprises, in managed software projects and team building. He emphasizes the extensive developer pool and rigorous testing process at Turing, which allows for detailed developer profiles and effective machine learning algorithms. Vijay explains the impact of Duet AI on developer productivity, citing a 33% increase in pull request mergers and the potential for further gains through behavioral changes and training. He also discusses Turing's future plans to leverage Duet AI for code base indexing and debugging.
π Enhancing Operations and Data with Duet AI
The presentation shifts to discussing how Duet AI enhances operations across GCP products. Preston explains that Duet AI can provide quick, in-context understanding of product functionalities and configurations. He outlines the benefits of Duet AI in summarizing documentation, offering curated experiences for recommendations and debugging, and assisting in understanding error texts and third-party products. The discussion also covers Duet AI's capabilities in data analysis, particularly with BigQuery, where it can provide SQL suggestions and translate natural language queries into SQL code.
π Security and No-Code Experiences with Duet AI
Preston and Vijay address Duet AI's role in security and no-code experiences. They discuss how Duet AI can aid security professionals in being more productive and help newcomers contribute effectively. The presentation covers the use of Duet AI in summarizing threat intelligence reports, constructing search terms for security tools, and understanding vulnerabilities in plain English. The talk also touches on the potential of Duet AI in the no-code platform, AppSheet, where it can generate applications from a single statement and help refine existing applications.
π Duet AI's Enterprise Readiness and Future Plans
The presentation concludes with a discussion on Duet AI's enterprise readiness, emphasizing its data segmentation and isolation principles. Preston outlines the AI principles followed in building Duet AI, including safety checks in responses. He also shares future plans for Duet AI, such as rich admin controls, integrated troubleshooting experiences, enhanced data exploration with machine learning, and improvements in natural language search creation. Preston encourages the audience to sign up for the Duet AI preview and provide feedback to aid in the ongoing development and improvement of the product.
Mindmap
Keywords
π‘Duet
π‘Vertex
π‘Generative AI
π‘AI Principles
π‘Assisted Development
π‘Machine Learning
π‘Natural Language Processing (NLP)
π‘Cloud Services
π‘GCP (Google Cloud Platform)
π‘Turing
Highlights
Introduction of Duet AI by Preston Holmes, a product manager at Google, focusing on its integration and applications within Google Cloud Platform (GCP).
Duet AI's role in enhancing interactions with Cloud interfaces such as IDE for developers, Cloud Console, data interaction services, and security products.
The distinction between Vertex and Duet, with Vertex being a platform for producing value using generative AI and Duet for consuming the value created by Google's AI efforts.
Duet AI's foundation on Google's research and development models like PaLM 2.0 and its high-performance platform infrastructure in Vertex for model tuning and serving.
The future capability of Duet AI to allow enterprise and organizational fine-tuning, making it a specific instance of Duet tailored to individual business needs.
Investment in user experience for Duet AI to ensure intuitive and easy use, without requiring AI expertise to leverage its value.
The approach of infusing the context of the user's work directly into the model's awareness, enhancing the integration of platform interfaces and experiences.
The evolution of Duet AI towards an agent-based system, enabling collaborative management and operation of services.
Duet AI's availability in five primary areas of GCP: assisted development, assisted operations, assisted data, assisted no-code development, and assisted security.
Vijay Krishnan from Turing discussing the impact of Duet AI on software development teams' productivity and the measurable 33% increase in pull request mergers.
The explanation of Duet AI's potential in assisted data, particularly in SQL and BigQuery, providing syntax-accurate suggestions and understanding the data context.
Duet AI's role in security, aiding security professionals with threat intelligence summarization, constructing search terms, and providing plain-English summaries of vulnerabilities.
Enterprise readiness of Duet AI, built on principles of data segmentation and isolation, conforming to AI principles with safety checks in responses.
The preview availability of Duet AI and the encouragement for attendees to sign up and provide feedback for continuous improvement.