Redefine how to build new generative AI customer experience applications with Vertex AI

Google Cloud
2 Feb 202407:41

TLDRGoogle Cloud's Vertex AI platform aims to simplify the creation of generative AI applications for enterprise customer experiences. It empowers developers without machine learning expertise to harness Google's foundational models and conversational AI technologies. The platform includes Vertex AI Search and Vertex AI Conversation, which facilitate the building of search engines and virtual agents with intuitive tooling and a focus on privacy and security. Demonstrations show the ease of creating a search application using Google's web index and the enhanced interaction with virtual agents through large language models.

Takeaways

  • 🚀 Google Cloud's Vertex AI platform aims to make advanced technology accessible for developers to build new generative AI customer experience applications.
  • 🧠 Vertex AI Search and Conversation empowers developers to leverage Google's foundational models, search expertise, and conversational AI technologies without requiring prior machine learning experience.
  • 🛠️ The platform simplifies the process of building enterprise-grade generative AI applications, focusing on ease of adoption and personalization for customer, partner, and employee interactions.
  • 🔒 Privacy and security are integral to Vertex AI, ensuring that users' data remains their own and is used in the safest way possible.
  • 🔍 Vertex AI Search allows for the creation of search applications by indexing various data sources, including websites, BigQuery, and cloud storage.
  • 🗣️ Vertex AI Conversation builds upon Dialogflow, integrating large language models for richer and more personalized conversations with end customers.
  • 🌐 A demo showcases the ease of creating a search application using Google's web index and indexing a website like store.google.com.
  • 🤖 Virtual agents can be quickly developed using Vertex AI Search to create rich, personalized experiences based on enterprise data.
  • 💻 The platform can generate code with the help of the latest LLM innovations, such as Palm, to assist with technical tasks.
  • 📝 Conversations can be summarized by the AI, providing a quick overview of the interaction history.

Q & A

  • What is the main purpose of Vertex AI Platform?

    -The main purpose of Vertex AI Platform is to make amazing technology accessible and enable developers to build enterprise-grade generative AI applications, even without prior experience in machine learning.

  • How does Vertex AI Search and Conversation aim to empower creators and builders in an enterprise?

    -Vertex AI Search and Conversation aims to empower creators and builders by providing them with the power to tap into Google's foundational models, search expertise, and conversational AI technologies, simplifying the process of building AI applications and enhancing customer experiences.

  • What types of data can be indexed with Vertex AI Search?

    -With Vertex AI Search, you can index various types of data including websites, data inside BigQuery, and data stored in Cloud Storage in different formats such as PDFs, HTML, structured enterprise data, or JSON.

  • How quickly can a search application be created using Vertex AI Search?

    -A search application can be created very quickly using Vertex AI Search, as demonstrated in the script where a search engine based on a URL was created and functional straight out of the box.

  • How does Vertex AI Conversation enhance customer interactions?

    -Vertex AI Conversation enhances customer interactions by building on dialogue flow and integrating large language models, which allows for richer and more personalized conversations with end customers while also simplifying the development process for creators.

  • What is an example of a task Vertex AI Search can perform?

    -Vertex AI Search can perform tasks such as indexing a website, creating a data store, and providing search results that are relevant to user queries, as shown in the demonstration with the Pixel 78 example.

  • How does Vertex AI Conversation integrate with the existing customer experience platform for virtual agents?

    -Vertex AI Conversation integrates with the existing customer experience platform for virtual agents by using large language models to provide more detailed and personalized responses, enhancing the overall virtual agent experience.

  • What is the role of Google's AI technology in Vertex AI Search and Conversation?

    -Google's AI technology powers Vertex AI Search and Conversation by providing the foundational models and expertise needed to build and run the applications, ensuring efficiency and effectiveness in creating AI-powered virtual agents and search engines.

  • How does Vertex AI ensure privacy and security for its users?

    -Vertex AI is committed to preserving the privacy and security of its users, ensuring that the data always remains the property of the user and providing the fastest and safest way to build virtual agents and search engines.

  • What is an example of code generation using Vertex AI?

    -An example of code generation using Vertex AI is the creation of code for uploading a file to Google Cloud Storage, which was demonstrated by the virtual agent in the script, showcasing the ability to generate functional code based on user requests.

  • How can Vertex AI be used to summarize conversations?

    -Vertex AI can be used to summarize conversations by utilizing large language models to process the entire conversation history and provide a concise summary, as demonstrated when a summary was requested for a given email address.

Outlines

00:00

🚀 Introducing Vertex AI Platform: Redefining AI Application Development

The paragraph introduces the Vertex AI platform, highlighting its ability to make advanced technology accessible. It emphasizes the platform's capacity to empower developers to create enterprise-grade generative AI applications without prior experience in machine learning. The speaker discusses the integration of Google's foundational models, search expertise, and conversational AI technologies. The goal is to simplify the adoption of generative AI for businesses, enhancing customer, partner, and employee interactions. The platform also prioritizes privacy and security, ensuring that users maintain control over their data. A demo is mentioned to showcase the ease of creating AI-powered virtual agents and search engines using Vertex AI's search and conversation tools.

05:01

📚 Demonstrating Vertex AI Search and Conversation Capabilities

This paragraph delves into a live demonstration of Vertex AI's search and conversation features. The speaker guides the audience through the process of building a search application using the platform, starting with a simple index of an existing website. It showcases the platform's ability to quickly create a functional search engine. The conversation then shifts to Vertex AI's conversation capabilities, which build upon dialogue flow to provide richer, more personalized interactions. The integration of large language models is highlighted, demonstrating the ability to generate code and summarize conversations. The paragraph concludes by emphasizing the ease of use and the out-of-the-box features that enable the creation of innovative and personalized customer experiences.

Mindmap

Keywords

💡Generative AI

Generative AI refers to the use of artificial intelligence to create new and original content, such as text, images, or code. In the context of the video, generative AI is used to build customer experience applications that can produce personalized and effective interactions with customers, partners, and employees. The video demonstrates how Vertex AI enables developers to harness the power of Google's foundational models to create enterprise-grade generative AI applications without prior machine learning expertise.

💡Vertex AI

Vertex AI is a platform developed by Google Cloud that combines search and conversational AI technologies to help enterprises build applications using artificial intelligence. It aims to simplify the process of creating AI-powered applications by providing intuitive tooling that reduces the complexity involved in development. The platform is designed to empower creators and builders within an enterprise to develop the next generation of customer experiences.

💡Conversational AI

Conversational AI refers to artificial intelligence systems that can interact with humans in a conversational manner, typically through text or voice interfaces. In the video, conversational AI is integrated into Vertex AI to enhance customer experiences by enabling more natural and engaging dialogues with virtual agents. These systems can understand and respond to user inputs, providing richer and more personalized interactions.

💡Data Store

A data store in the context of the video refers to a repository where data is indexed and stored for use in AI applications. It is a crucial component of the Vertex AI platform, allowing users to create applications that can access and utilize various types of data, such as websites, big query data, and cloud storage. The data store enables the AI applications to provide relevant and contextual responses to user queries.

💡Large Language Models (LLMs)

Large Language Models (LLMs) are a type of artificial intelligence model that processes and generates human-like text based on the input they receive. These models are capable of understanding context, semantics, and nuances of language, which allows them to produce sophisticated and contextually relevant responses. In the video, LLMs are used within the Vertex AI platform to enhance the conversational capabilities of virtual agents, providing more detailed and personalized interactions with users.

💡Intuitive Tooling

Intuitive tooling refers to user-friendly interfaces and tools designed to simplify complex tasks, making them accessible to users with varying levels of expertise. In the context of the video, Vertex AI provides intuitive tooling that allows developers to build AI-powered applications without the need for extensive machine learning knowledge. This approach democratizes AI development, enabling more individuals within an enterprise to create and deploy AI solutions.

💡Privacy and Security

Privacy and security are critical considerations in the development and deployment of AI applications, ensuring that user data is protected and handled responsibly. The video highlights Google Cloud's commitment to maintaining the privacy and security of customer data, emphasizing that data ownership remains with the user and that the platform is designed to be a safe environment for building AI applications.

💡Virtual Agents

Virtual agents are AI-powered chatbots or digital assistants that can simulate human-like conversations with users. They are designed to provide information, answer queries, and assist with tasks, often in a customer service context. In the video, virtual agents built with Vertex AI leverage large language models to deliver more engaging and personalized interactions, enhancing the overall customer experience.

💡Search Engine

A search engine is a software system designed to search for information on the internet or within a specific database. It retrieves and presents relevant content based on user queries. In the video, Vertex AI Search is a component of the platform that allows users to build custom search applications, leveraging Google's search technology to provide quick and accurate results.

💡Code Generation

Code generation is the process by which an AI system creates and outputs programming code in response to a specific task or objective. This capability is particularly useful in automating software development and can save developers time by generating code snippets for various purposes. In the video, the virtual agent's ability to write code is an example of code generation, showcasing the advanced capabilities of LLMs within the Vertex AI platform.

Highlights

Vertex AI platform is set to redefine the way applications are built with artificial intelligence.

Developers can leverage Google's foundational models, search expertise, and conversational AI technologies without prior machine learning experience.

Vertex AI Search and Conversation simplifies the process of building Enterprise-grade generative AI applications.

The platform empowers creators and builders to build the next generation of customer experience.

Vertex AI aims to make customer, partner, and employee interactions more effective and personalized.

The platform includes intuitive tooling that reduces the complexity of building AI applications.

Privacy and security are prioritized, ensuring that your data remains yours.

Vertex AI Search and Conversation is powered by Google's AI technology.

Vertex AI Search allows indexing of websites, BigQuery data, and Cloud Storage files.

A search application can be quickly created using Google's web index, as demonstrated with store.google.com.

The search engine works out of the box, providing instant search results based on indexed URLs.

Vertex AI Conversation builds on Dialogflow, enhancing virtual agent interactions with large language models.

Virtual agents can provide richer, more personalized responses by leveraging large language models.

Enterprise data can be used to create rich virtual agent experiences through Vertex AI Search.

The platform can summarize documentation pages to provide concise answers to user queries.

Virtual agents can generate code using the latest LLM innovations, such as Palm.

The platform can summarize conversations, providing a quick overview of the interaction history.

These features are available out of the box for Dialogflow, enabling the creation of innovative and personalized customer experiences.

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