Productive AI offers the opportunity to leverage its data more effectively and deeply, including dialogue applications that can answer complex questions, produce accurate summaries by synthesizing many sources, and help people get to the information they need faster.

Enterprise Search on Google Cloud Generative AI App Builder (Gen App Builder) allows organizations to create custom chatbots and semantic search applications in as little as a few minutes, with minimal coding and management needs. Customers can combine their internal data with the power of Google's search technologies to deliver relevant, personalized search experiences for enterprise applications or consumer-facing websites.

To date, most approaches to combining manufacturer AI and search technology have fallen short of the scale and reliability required for enterprise use.

For example, creating search by breaking long documents into pieces and feeding each piece to an AI assistant is often not scalable and does not effectively provide insights across multiple sources. Similarly, many solutions are limited in the types of data they can handle, prone to errors and data leakage.

These challenges suggest that organizations often need more than access to strong core models to effectively implement productive search. They also need the ability to base their model outputs on specific data so that the outputs are more relevant.

They often need measures to secure their data, how it is accessed and how it is used. And they often need the process to be high-performance and scalable, so that functionality becomes easy to use, even if the organization lacks data science and machine learning expertise.

‍

Let's examine how Enterprise Search in Gen App Builder helps customers overcome these challenges of scale and reliability, and how they benefit from productive search.

‍

Where productive AI and enterprise data meet

Enterprise Search in Gen App Builder allows developers to create search engines that help base outputs on specific data sources for accuracy and relevance, handle multi-model data such as visuals, and include controls on how response summaries are generated.

With Gen App Builder's ready-to-use features and simple interface, it can eliminate the need for data clustering, embedding, or managing directories, allowing developers to build apps in minutes with little or no coding, even without machine learning experience.

With the ability to retrieve large volumes of documents and support both unstructured and structured data, apps built with Gen App Builder help customers solve the long-standing problem of finding relevant information across the organization, turning what used to be hours of tasks into quick searches or explorations for chat with an app.

‍

For more advanced use cases, Gen App Builder can be easily integrated with Vertex AI for in-depth basic model tuning and provides flexible input and output search formats. Whether for prototypes built in minutes or applications with many custom components, Enterprise Search in Gen App Builder offers a robust suite of user-friendly tools for customers across industries and levels of expertise.

‍

How customers innovate with Enterprise Search

Priceline, an online travel agency, is leveraging Gen App Builder and Vertex AI for a number of projects, including built-in search engines for its employees and a new chatbot to help customers make travel plans. Priceline's chatbot, which can be used for both desktop and mobile experiences, asks, “What are the best 4-star hotel options within walking distance of Central Park in downtown Manhattan?” and “Can you help me extend my hotel reservation one more night?” It will help customers find the right information faster through always-on, personalized experiences including answering nuanced questions like.

“Priceline is charting a course to turn the innovation of productive AI into lasting value for our customers and our business. We believe it's not just about having the latest technology; it's also about targeting innovation in a practical way toward the right challenges and opportunities,” said Priceline Chief Technology Officer Marty Brodbeck. “With Google Cloud as our AI innovation partner, we are doubling down on our commitment to deliver the fastest, most seamless and informative booking experience for our customers, from personalized planning and travel inspiration to customer service.”

Vodafone is experimenting with Enterprise Search and core models on Gen App Builder to create a tool that can query documents quickly and securely, make calls, and understand certain business terms and conditions. Vodafone Voice and Roaming Services has more than 10,000 contracts with other telecommunications companies worldwide in various formats such as PDFs, images and complex tables. Searching this document pool is often a time-consuming process for employees.

“We are introducing and managing new services such as 5G to a roaming footprint of more than 700 operators in 210 countries every day to ensure that both Vodafone and our partners stay connected when they are abroad. Sherif Bakır, CEO of Vodafone Voice and Roaming Services, said: “In Gen App Builder, we are creating a smart assistant to search contracts securely and quickly with Enterprise Search. “With productive AI, we are accelerating normally long processes, increasing productivity and operational efficiency.”

‍

Stop looking for solutions - start exploring insights

We're excited to see our customers use Enterprise Search in Gen App Builder to leverage data in powerful ways, discover new insights, and create useful, personal, and productive experiences. You can contact us to get detailed information about the solution.