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Informatica Delivers Blueprints to Simplify and Accelerate Generative AI Development on Leading Technology Platforms

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Informatica (NYSE: INFA) has launched Generative AI Blueprints to simplify enterprise-grade GenAI application development across six major platforms: AWS, Databricks, Google Cloud, Microsoft Azure, Oracle Cloud, and Snowflake. The blueprints include reference architectures, prebuilt recipes, and connectors to streamline development and implementation.

The solution features data quality management, business glossary metadata, no-code approach, policy enforcement, and high-throughput serverless runtime capabilities. Professional services firms like Deloitte and Capgemini are building their GenAI platforms using these blueprints. The blueprints are available for free in Informatica's Architecture Center, with recipes for AWS, Google Cloud, Microsoft Azure, and Oracle available now, while Snowflake and Databricks recipes will be released next year.

Informatica (NYSE: INFA) ha lanciato Generative AI Blueprints per semplificare lo sviluppo di applicazioni GenAI di livello enterprise su sei piattaforme principali: AWS, Databricks, Google Cloud, Microsoft Azure, Oracle Cloud e Snowflake. I blueprints includono architetture di riferimento, ricette predefinite e connettori per rendere più efficienti lo sviluppo e l'implementazione.

La soluzione presenta funzionalità di gestione della qualità dei dati, metadati di glossario aziendale, un approccio senza codice, applicazione delle politiche e capacità di runtime serverless ad alta capacità. Aziende di servizi professionali come Deloitte e Capgemini stanno costruendo le loro piattaforme GenAI utilizzando questi blueprints. I blueprints sono disponibili gratuitamente nel Centro Architettura di Informatica, con ricette per AWS, Google Cloud, Microsoft Azure e Oracle già disponibili, mentre le ricette per Snowflake e Databricks saranno rilasciate il prossimo anno.

Informatica (NYSE: INFA) ha lanzado Generative AI Blueprints para simplificar el desarrollo de aplicaciones GenAI de nivel empresarial en seis plataformas principales: AWS, Databricks, Google Cloud, Microsoft Azure, Oracle Cloud y Snowflake. Los blueprints incluyen arquitecturas de referencia, recetas preconstruidas y conectores para agilizar el desarrollo y la implementación.

La solución presenta gestión de calidad de datos, metadatos de glosario empresarial, un enfoque sin código, cumplimiento de políticas y capacidades de tiempo de ejecución sin servidor de alto rendimiento. Firmas de servicios profesionales como Deloitte y Capgemini están construyendo sus plataformas GenAI utilizando estos blueprints. Los blueprints están disponibles de forma gratuita en el Centro de Arquitectura de Informatica, con recetas para AWS, Google Cloud, Microsoft Azure y Oracle disponibles ahora, mientras que las recetas para Snowflake y Databricks se lanzarán el próximo año.

인포마트카 (NYSE: INFA)Generative AI Blueprints를 출시하여 AWS, Databricks, Google Cloud, Microsoft Azure, Oracle Cloud, Snowflake를 포함한 여섯 개 주요 플랫폼에서 기업 수준의 GenAI 애플리케이션 개발을 간소화합니다. 이 블루프린트에는 개발 및 구현을 간소화하기 위한 참조 아키텍처, 사전 구축된 레시피 및 커넥터가 포함되어 있습니다.

이 솔루션은 데이터 품질 관리, 비즈니스 용어 메타데이터, 코드 없는 접근 방식, 정책 시행 및 고속 서버리스 실행 기능을 특징으로 합니다. 딜로이트와 캡제미니와 같은 전문 서비스 회사들이 이 블루프린트를 사용하여 자신의 GenAI 플랫폼을 구축하고 있습니다. 이 블루프린트는 인포마트카의 아키텍처 센터에서 무료로 제공되며, AWS, Google Cloud, Microsoft Azure 및 Oracle에 대한 레시피는 현재 사용 가능하며, Snowflake와 Databricks에 대한 레시피는 내년에 출시될 예정입니다.

Informatica (NYSE: INFA) a lancé Generative AI Blueprints pour simplifier le développement d'applications GenAI de niveau entreprise sur six principales plateformes : AWS, Databricks, Google Cloud, Microsoft Azure, Oracle Cloud et Snowflake. Les blueprints comprennent des architectures de référence, des recettes préconstruites et des connecteurs pour rationaliser le développement et la mise en œuvre.

La solution présente une gestion de la qualité des données, des métadonnées de glossaire d'entreprise, une approche sans code, l'application de politiques et des capacités d'exécution serverless à haut débit. Des entreprises de services professionnels telles que Deloitte et Capgemini construisent leurs plateformes GenAI en utilisant ces blueprints. Les blueprints sont disponibles gratuitement dans le Centre d'Architecture d'Informatica, avec des recettes pour AWS, Google Cloud, Microsoft Azure et Oracle déjà disponibles, tandis que les recettes pour Snowflake et Databricks seront publiées l'année prochaine.

Informatica (NYSE: INFA) hat Generative AI Blueprints eingeführt, um die Entwicklung von GenAI-Anwendungen auf der Unternehmensebene über sechs Hauptplattformen zu vereinfachen: AWS, Databricks, Google Cloud, Microsoft Azure, Oracle Cloud und Snowflake. Die Blaupausen umfassen Referenzarchitekturen, vorgefertigte Rezepte und Connectoren, die die Entwicklung und Implementierung optimieren.

Die Lösung bietet Datenqualitätsmanagement, Unternehmensglossar-Metadaten, einen No-Code-Ansatz, Durchsetzung von Richtlinien und leistungsstarke serverlose Laufzeitfunktionen. Professionelle Dienstleistungsunternehmen wie Deloitte und Capgemini bauen ihre GenAI-Plattformen mithilfe dieser Blaupausen auf. Die Blaupausen sind kostenlos im Architekturzentrum von Informatica verfügbar, wobei Rezepte für AWS, Google Cloud, Microsoft Azure und Oracle bereits jetzt verfügbar sind, während Rezepte für Snowflake und Databricks im nächsten Jahr veröffentlicht werden.

Positive
  • Free availability of GenAI Blueprints through Informatica's Architecture Center
  • Strategic partnerships with major professional services firms (Deloitte, Capgemini)
  • Expansion of service offerings across six major technology platforms
Negative
  • Delayed availability of Snowflake and Databricks recipes until next year

Insights

The launch of Informatica's Generative AI Blueprints represents a significant advancement in enterprise AI implementation, though its immediate revenue impact may be The blueprints' integration with major cloud platforms (AWS, Google Cloud, Azure, Oracle, Snowflake and Databricks) positions Informatica strategically in the AI infrastructure market.

The technology offers important enterprise-grade features including data quality management, master data management and security controls - essential components for responsible AI deployment. The no-code approach and pre-built recipes significantly reduce development complexity and time-to-market for GenAI applications.

While offered at no cost, these blueprints could drive increased adoption of Informatica's core IDMC platform and strengthen its ecosystem partnerships, potentially leading to higher subscription revenue and market share in the long term.

Generative AI blueprints for enterprise-grade Generative AI applications are now available for AWS, Databricks, Google Cloud, Microsoft Azure, Oracle Cloud and Snowflake ecosystems

REDWOOD CITY, Calif.--(BUSINESS WIRE)-- Informatica (NYSE: INFA), a leader in enterprise AI-powered cloud data management, today announced the availability of Generative AI (GenAI) Blueprints which make it faster and easier for customers to build enterprise-grade GenAI applications on six 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.

These comprehensive and easy-to-follow blueprints are designed to facilitate the use of AI-ready data as organizations seek to develop and quickly generate business value from GenAI applications. 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.

“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 Jim Rowan, Principal and Applied AI Leader at Deloitte Consulting LLP. “Informatica’s GenAI Blueprints are a development for both the industry as well as for our customers as they elevate the practice of developing GenAI applications to meet enterprise requirements for delivering responsible GenAI at scale.”

“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.

About Informatica

Informatica (NYSE: INFA), a leader in enterprise AI-powered cloud data management, brings data and AI to life by empowering businesses to realize the transformative power of their most critical assets. We have created a new category of software, the Informatica Intelligent Data Management Cloud™ (IDMC). IDMC is an end-to-end data management platform, powered by CLAIRE® AI, that connects, manages and unifies data across any multi-cloud or hybrid system, democratizing data and enabling enterprises to modernize and advance their business strategies. Customers in approximately 100 countries, including more than 80 of the Fortune 100, rely on Informatica to drive data-led digital transformation. Informatica. Where data and AI come to life.

Media Contact

Informatica Public Relations

pr@informatica.com

Source: Informatica

FAQ

What are Informatica's GenAI Blueprints and when were they released?

Informatica's GenAI Blueprints are reference architectures and prebuilt recipes designed to simplify enterprise-grade GenAI application development across major cloud platforms. They were announced in 2023 and are available through Informatica's Architecture Center.

Which cloud platforms are supported by Informatica's (INFA) GenAI Blueprints?

Informatica's GenAI Blueprints support six major platforms: AWS, Databricks, Google Cloud, Microsoft Azure, Oracle Cloud, and Snowflake.

What key features are included in Informatica's (INFA) GenAI Blueprints?

The blueprints include data quality management, master data management, business glossary metadata, no-code approach, policy enforcement, and high-throughput serverless runtime capabilities.

When will Informatica (INFA) release GenAI Blueprint recipes for Snowflake and Databricks?

Informatica plans to release GenAI Blueprint recipes for Snowflake and Databricks in 2024, while recipes for other platforms are currently available.

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