To get the results from generative AI, organizations need an open and connected ecosystem offering end-to-end AI solutions along with secure, cost-effective data integration. Learn how Teradata delivers all this at scale for faster ROI from generative AI solutions.
Generative and agentic AI can often be cost prohibitive due to the rapidly expanding volume and variety of data required to train and run models effectively. AI often requires massive amounts of both structured and unstructured data, which can add to the complexity and data costs for generative AI solutions.
The fragmentation of the market for data and AI solutions, along with the proliferation of platforms and providers, heightens security and data privacy risks. Further, a growing demand for data and AI sovereignty is growing the need for hybrid deployment of AI to maintain compliance and avoid security risks.
As businesses grow, so does their data. Companies need a solution that scales cost-effectively to keep pace. Without efficient AI tools and analytics, enterprises can face scalability, cost, and flexibility issues. To unlock the full value of generative AI, organizations need the ability to rapidly scale and create massive enterprise value.
Teradata offers a suite of value-driven, uniquely differentiated solutions for use cases across every industry.
An AI data platform goes beyond traditional data storage and analytics by integrating advanced AI and machine learning capabilities directly into the data ecosystem. Unlike a traditional data platform, which focuses on storing and processing structured data for reporting, an AI data platform unifies data, analytics, and AI workflows—supporting model training, deployment, and inference at scale. It enables organizations to operationalize AI faster, manage hybrid data environments, and turn data into predictive and generative insights in real time.
AI data platforms empower data-driven decision-making by providing real-time access to integrated, high-quality data and enabling AI-powered analytics. They automate data preparation, uncover patterns through machine learning, and deliver predictive insights that guide smarter business actions. By connecting data from across the enterprise and integrating generative AI, these platforms help decision-makers move from descriptive to prescriptive intelligence—accelerating innovation and improving outcomes.
A modern AI data platform can handle all major data types:
By supporting diverse data formats across cloud, on-premises, and hybrid environments, AI data platforms enable continuous learning, richer model training, and dynamic insights at scale.
Get ready for your next big breakthrough. Find out how Teradata can help your enterprise accelerate value from AI, today.
