Teradata secured a place among only 11 vendors in the 2025 Gartner Peer Insights Voice of the Customer for Data Science and Machine Learning Platforms, based on feedback from 21 verified users through August 2025. The company achieved a 95% Willingness to Recommend score and a 4.7 out of 5 rating for Product Capabilities—metrics that reflect customer confidence in Teradata’s platform reliability, end-to-end data science lifecycle support and low-code/AI-assisted tooling. These results underscore the strength of Teradata’s autonomous AI and knowledge platform in real-world deployments spanning model creation, feature engineering, pipeline automation and collaboration across data science, IT and business teams.

In 2025, Teradata completed over 150 AI-focused customer engagements across industries such as financial services, healthcare, manufacturing and defense. Notable use cases included accelerating anti–money laundering model deployment for a multinational bank, processing 50,000+ weekly customer transcripts for an Asian retail finance client, and integrating IoT telemetry with design specifications for a global auto manufacturer to boost R&D productivity. In the defense sector, Teradata’s AI-assisted object detection and pattern analysis delivered real-time camouflage effectiveness advice for European agencies. In healthcare, an in-database machine learning model processed large volumes of mammogram images with parallelized metadata removal and temporal security controls. These projects delivered measurable outcomes—reduced model deployment cycles, enhanced customer satisfaction, accelerated R&D and secure high-performance medical imaging workflows.

Chief Product Officer Sumeet Arora emphasizes that customer feedback from Gartner Peer Insights is integral to shaping Teradata’s roadmap, reinforcing its commitment to provide enterprise-grade AI/ML solutions that drive business outcomes. COO Mike Hutchinson notes a shift from proof-of-concept to production-scale AI, highlighting that Teradata’s unified autonomous AI and knowledge platform, coupled with sprint-based AI services, enables clients to move faster from insight to action while maintaining security, governance and performance at scale.

Teradata positions itself as the AI platform built for the autonomous era, capable of unifying structured and unstructured data across cloud, on-premises and hybrid environments. Its combination of data integration, generative AI, analytics and knowledge retrieval addresses enterprise demands for robust performance, model governance and operational efficiency. By delivering end-to-end DSML capabilities and over 150 successful implementations in 2025, Teradata reinforces its competitive differentiation and sets the stage for sustained investor interest in its ability to capitalize on growing enterprise AI adoption.