Recently, companies have started using generative artificial intelligence (AI) to improve data-driven decision-making. These decisions, crucial for identifying trends and optimizing operations, traditionally required specialized analysts’ input, slowing down the process and making it less accessible.
Generative artificial intelligence has revolutionized this field by allowing users to interact with data through natural language queries. This provides instant insights and visualizations without the need for advanced technical skills, democratizing access to information and speeding up data analysis.
However, some companies face various challenges when implementing generative AI to gain data insights. These include maintaining data quality, addressing privacy concerns, managing model biases, and integrating AI systems with existing workflows.
Domo, a cloud-based data experiences innovator, enables users to make data-driven decisions through easy-to-use dashboards and applications. Domo transforms, visualizes, and automates data through simple integrations and intelligent automation. The company has implemented Amazon Bedrock to offer a flexible and powerful AI solution.
Domo’s enterprise data environment caters to a diverse customer base with varying needs. Domo allows these organizations to extract valuable insights through data visualization and analysis. The next natural evolution is to provide them with a more intuitive and conversational interface to interact with their data, enabling them to create meaningful visualizations and reports through natural language interactions.
Domo.AI, powered by Amazon Bedrock, simplifies data exploration and analysis through natural language conversations, providing contextual and personalized insights with narrative and visual responses. It also offers robust security and governance to control risks.
Amazon Bedrock is a fully managed service that offers a selection of high-performance base models from various leading AI companies. Users can experiment with and customize these models to fit their needs, all while Amazon Bedrock takes care of the infrastructure, facilitating secure integration into applications through familiar AWS services.
Domo’s solution architecture includes several stages. End users interact with Domo.AI through the web or mobile app. Once the user’s request is interpreted by an AI chat agent, the appropriate tools and models are selected using Amazon Bedrock to perform the necessary actions. This may include vector searches to find relevant information or queries to private data stored in systems like Amazon Redshift.
Domo chose Amazon Bedrock for several reasons, including the variety of available models, security and compliance with global regulations, as well as cost advantages. Domo has reported a 50% reduction in costs when using Amazon Bedrock compared to similar models from other providers, allowing for more agile and effective experimentation and development.
In conclusion, Amazon Bedrock has been crucial in enhancing Domo’s data visualization and insights capabilities through generative AI. Its flexibility, security, and managed expertise have allowed Domo to provide more value to its customers by reducing costs and facilitating compliance with regulations across various industries.
via: MiMub in Spanish
