Informatica, a leader in enterprise AI-powered cloud data management, is releasing Generative AI (GenAI) Blueprints to make it faster and easier for customers to build enterprise-grade GenAI applications on several industry-leading technology platforms.
The blueprints—for AWS, Databricks, Google Cloud, Microsoft Azure, Oracle Cloud, and Snowflake—include standard reference architectures, prebuilt, ecosystem-specific “recipes,” and GenAI Model-as-a-Service and vector database connectors to minimize GenAI development complexity and accelerate implementation, according to Informatica.
The blueprints comprise architectural guidelines and pre-defined configurations for use with Informatica’s Intelligent Data Management Cloud (IDMC) platform and leading cloud data platforms.
Professional services firms such as Deloitte and Capgemini, are building their GenAI platforms on top of Informatica blueprints to bring industry-specific capabilities and value-added services and IP on top of the company’s foundational GenAI blueprints.
The blueprints address a range of data and metadata-driven requirements that are common to GenAI initiatives, including data discovery, data engineering, master data management (MDM), access control, and policy enforcement.
Key capabilities of the blueprints include:
- Data Quality and Master Data Management (MDM) to ensure Gen AI applications are grounded and enriched by high-quality enterprise data for key business stakeholders such as customers, products and suppliers.
- Use of business glossary metadata and data governance to ensure that Gen AI applications are optimized for the industry and enterprise.
- A no-code approach to allow scalable, robust scaffolding of projects aimed at delivering and managing Gen AI apps.
- Support for responsible AI with policy and security enforcement to ensure data is included in Gen AI prompts and responds appropriately and securely.
- Accelerate Gen AI app development with pre-built, no-code, ecosystem-specific iPaaS recipes for AWS, Azure, Google and Oracle using the rapid iPaaS integration and orchestration capabilities of the IDMC platform.
- Scaling up with high throughput/low latency serverless runtime for integrating AI agents and RAG-chain executors and boosting efficiency through a modern design interface.
“A myriad of components must be brought together for GenAI development, including large language models, vector data management, prompt handling, and more,” said Rik Tamm-Daniels, group vice president of strategic ecosystems at Informatica. “These blueprints provide a prescriptive path for customers to unlock the potential of GenAI for their enterprise use cases. Informatica is continuing to simplify and streamline the process of delivering GenAI applications at scale by minimizing the do-it-yourself integration required. And, most importantly, we do so with AI-ready data that is relevant, responsible and robust.”
The blueprints are available at no cost in Informatica’s Architecture Center.
Recipes for AWS, Google Cloud, Microsoft Azure and Oracle are available now, with Snowflake and Databricks recipes due next year.
For more information about this news, visit www.informatica.com.