Informatica Launches Blueprints To Help Enterprises Develop GenAI in the Cloud
- By Paul Mah
- November 13, 2024
Informatica has announced the availability of GenAI blueprints, which it says will make it quicker and easier for customers to build enterprise-grade GenAI applications on leading technology cloud and data platforms.
The blueprints are standard reference architectures that include a number of what the company calls “ecosystem-specific recipes” to help customers get started. They also include GenAI Model-as-a-Service and vector database connectors to minimize GenAI development complexity and accelerate implementation.
The blueprints are available on AWS, Databricks, Google Cloud, Microsoft Azure, Oracle Cloud and Snowflake.
GenAI for enterprises
According to Informatica, the blueprints include Data Quality and Master Data Management (MDM) to ensure GenAI applications are grounded and enriched by high-quality enterprise data for key business stakeholders such as customers, products, and suppliers.
It offers a no-code approach to allow scalable, robust scaffolding of projects aimed at delivering and managing GenAI applications. Crucially, it supports responsible AI with policy and security enforcement to ensure data is included in GenAI prompts and responds appropriately and securely.
In the press release, Deloitte’s Jim Rowan praised Informatica’s GenAI blueprints for helping both the industry and its customers to elevate the practice of developing GenAI applications to meet enterprise requirements for delivering responsible GenAI at scale.
“As a strategic Alliance of Informatica, we’re excited about the potential of these blueprints to deliver industry-specific GenAI capabilities and value-added services. Business leaders are looking for ways to implement GenAI to meet exacting enterprise requirements, from grounding to contextualization, that require a robust foundation of data management,” said Rowan.
“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 and Technology 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,” he said.
The blueprints are available at no cost in Informatica’s Architecture Center here. The "recipes" for Snowflake and Databricks will arrive next year; the rest are available right now.
Image credit: iStock/bpawesome
Paul Mah
Paul Mah is the editor of DSAITrends, where he report on the latest developments in data science and AI. A former system administrator, programmer, and IT lecturer, he enjoys writing both code and prose.