Teradata Introduces ‘Rapid-Start’ Generative AI Use Cases with Amazon Bedrock Integration
Teradata (NYSE:TDC) has announced an enhanced partnership with AWS to deliver 'rapid-start' Gen AI use cases through Teradata VantageCloud integration with Amazon Bedrock. The integration provides access to 60+ Gen AI use cases across various industries and functions, allowing customers to leverage foundational models from AI companies like AI21 Labs, Anthropic, and Meta. According to a survey, 84% of AI executives expect results from AI projects within a year of deployment. The integration will be available in Q2 2025, offering highly scalable APIs and solution-specific accelerators to implement Gen AI use cases efficiently and cost-effectively.
Teradata (NYSE:TDC) ha annunciato un'alleanza potenziata con AWS per fornire casi d'uso Gen AI 'rapid-start' tramite l'integrazione di Teradata VantageCloud con Amazon Bedrock. L'integrazione offre accesso a oltre 60 casi d'uso Gen AI in vari settori e funzioni, consentendo ai clienti di sfruttare modelli di base forniti da aziende AI come AI21 Labs, Anthropic e Meta. Secondo un sondaggio, l'84% dei dirigenti AI si aspetta risultati dai progetti AI entro un anno dal rilascio. L'integrazione sarà disponibile nel secondo trimestre del 2025, offrendo API altamente scalabili e acceleratori specifici per implementare i casi d'uso Gen AI in modo efficiente e conveniente.
Teradata (NYSE:TDC) ha anunciado una asociación mejorada con AWS para ofrecer casos de uso de Gen AI 'rapid-start' a través de la integración de Teradata VantageCloud con Amazon Bedrock. La integración ofrece acceso a más de 60 casos de uso de Gen AI en diversas industrias y funciones, permitiendo a los clientes aprovechar modelos fundamentales de compañías de IA como AI21 Labs, Anthropic y Meta. Según una encuesta, el 84% de los ejecutivos de IA esperan resultados de proyectos de IA dentro de un año de su implementación. La integración estará disponible en el segundo trimestre de 2025, ofreciendo API altamente escalables y aceleradores específicos para implementar casos de uso de Gen AI de manera eficiente y rentable.
테라데이타(Teradata, NYSE:TDC)는 AWS와의 향상된 파트너십을 발표하며, 테라데이타 뱅타이지 클라우드와 아마존 베드록을 통합하여 '빠른 시작' Gen AI 사용 사례를 제공한다고 밝혔습니다. 이 통합은 다양한 산업과 기능에서 60개 이상의 Gen AI 사용 사례에 접근할 수 있게 하여, 고객들이 AI21 Labs, Anthropic 및 Meta와 같은 AI 회사의 기초 모델을 활용할 수 있도록 합니다. 설문 조사에 따르면 AI 임원들의 84%가 AI 프로젝트를 배포한 지 1년 이내에 결과를 기대하고 있습니다. 이 통합은 2025년 2분기에 제공될 예정이며, Gen AI 사용 사례를 효율적이고 비용 효과적으로 구현할 수 있도록 고도로 확장 가능한 API와 솔루션별 가속기를 제공합니다.
Teradata (NYSE:TDC) a annoncé un partenariat renforcé avec AWS pour fournir des cas d'utilisation Gen AI 'quick-start' grâce à l'intégration de Teradata VantageCloud avec Amazon Bedrock. L'intégration donne accès à plus de 60 cas d'utilisation Gen AI dans divers secteurs et fonctions, permettant aux clients de tirer parti de modèles fondamentaux provenant d'entreprises d'IA telles que AI21 Labs, Anthropic et Meta. Selon une enquête, 84 % des dirigeants en IA s'attendent à obtenir des résultats de projets d'IA dans l'année suivant leur déploiement. L'intégration sera disponible au deuxième trimestre 2025, offrant des API hautement évolutives et des accélérateurs spécifiques pour mettre en œuvre efficacement et de manière économique les cas d'utilisation Gen AI.
Teradata (NYSE:TDC) hat eine verbesserte Partnerschaft mit AWS angekündigt, um 'rapid-start' Gen AI-Anwendungsfälle über die Integration von Teradata VantageCloud mit Amazon Bedrock bereitzustellen. Die Integration ermöglicht den Zugang zu über 60 Gen AI-Anwendungsfällen in verschiedenen Branchen und Funktionen und erlaubt es den Kunden, grundlegende Modelle von KI-Unternehmen wie AI21 Labs, Anthropic und Meta zu nutzen. Laut einer Umfrage erwarten 84 % der KI-Führungskräfte innerhalb eines Jahres nach der Implementierung Ergebnisse von KI-Projekten. Die Integration wird im zweiten Quartal 2025 verfügbar sein und hochskalierbare APIs sowie lösungsspezifische Beschleuniger anbieten, um Gen AI-Anwendungsfälle effizient und kosteneffektiv umzusetzen.
- Integration with Amazon Bedrock provides access to 60+ Gen AI use cases
- Partnership enables efficient and cost-effective implementation of Gen AI solutions
- Customers can leverage AWS spending commitments through seamless procurement
- Integration will not be available until Q2 2025, indicating a significant wait time for implementation
Insights
The integration of VantageCloud with Amazon Bedrock represents a significant strategic move in Teradata's AI capabilities. The offering of 60+ pre-built Gen AI use cases addresses a critical market need, as enterprises struggle with practical AI implementation. The Q2 2025 availability timeline suggests a well-developed roadmap, though it's relatively distant.
The partnership leverages AWS's robust foundation model ecosystem, including prominent players like Meta and Anthropic, while Teradata's API infrastructure promises cost-effective scaling. The
This positions Teradata competitively in the enterprise AI market, particularly appealing to existing AWS customers who can use their spending commitments. However, the delayed launch timing could allow competitors to capture market share in the interim.
Teradata VantageCloud customers on AWS can immediately start implementing Gen AI use cases to fast-track business value and accelerate ROI
Gen AI has spurred numerous innovations across industries. However, realizing its true business value requires proven use cases deployed on a trusted and scalable analytics and data platform. According to a recent survey of C-suite executives and AI leaders conducted for Teradata by NewtonX, 84 percent of AI executives say that they expect to see results from AI projects within a year of deployment. For organizations to see this kind of accelerated ROI from their AI investments, they need to be able to quickly and efficiently deploy trusted Gen AI use cases.
With this integration, Teradata customers gain access to a large repository of 60+ Gen AI use cases across various functions and industries to deliver exceptional customer experiences, boost employee productivity, and streamline business processes. Customers can rapidly implement these use cases with VantageCloud’s open and connected Gen AI capabilities integrated with Amazon Bedrock’s foundational models by leveraging VantageCloud’s highly scalable APIs to access Amazon Bedrock’s foundational models with the data in VantageCloud. These APIs, coupled with VantageCloud’s integration and operationalization capabilities, are designed to enable the implementation of Gen AI use cases with high scale and low relative cost. In addition, Teradata provides solution-specific accelerators which customers can leverage to fast-track implementation of Gen AI use cases.
“Our customers seek to expedite the return on their AI investments by efficiently and cost-effectively deploying business solutions, leveraging Generative AI, into production,” said Dan Spurling, Senior Vice President, Product Management at Teradata. “On the heels of our recent BYO-LLM announcement, this integration with Amazon Bedrock continues our momentum in the Gen AI space and underscores Teradata’s commitment to being the most powerful, open and connected analytics and data platform for AI – giving customers the flexibility and choice they desire, to implement their generative AI strategies.”
As part of this integration, Teradata VantageCloud is using the teradatagenai python package which introduces multiple easy-to-use functions that encapsulate API calls for commonly used text analytics. When used in conjunction with Amazon Bedrock, multiple real-world Gen AI use cases – from helping customers discover retail items faster to customer insurance contract information retrieval to customer complaint analysis – are unlocked to deliver tangible business value.
Availability
Teradata VantageCloud’s integration with Amazon Bedrock will be available Q2 2025. Teradata’s significant presence in AWS Marketplace enables joint customers to draw down on AWS spending commitments with a seamless procurement experience.
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January Machold
January.Machold@Teradata.com
Source: Teradata
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