Teradata AI: Agentic Use Cases That Drive Business Impact
▼ Summary
– Teradata AI Services help organizations transform AI pilots into production-ready agentic solutions that deliver significant business value.
– The services address enterprise challenges like poor prioritisation, governance, and data fragmentation, which cause 95% of AI pilots to fail.
– It combines embedded experts, a sprint-based methodology, and Teradata’s AI tools to deploy scalable, context-aware AI agents across industries.
– The offering includes three integrated layers: AI Activation for foundational setup, AI Value Realisation for agile deployment, and AI Sustainment for ongoing management.
– Services are available globally for cloud and on-premises environments, with flexible engagement models and pricing tailored to each customer’s needs.
Businesses seeking to move artificial intelligence projects from experimental pilots to fully operational systems now have a structured pathway with Teradata AI Services. This integrated offering tackles the widespread challenge of scaling AI initiatives by combining expert guidance with a proven methodology and Teradata’s robust knowledge platform. The service is designed to help organisations develop and scale AI agents that deliver tangible business value, working with companies at any stage of their AI maturity.
A significant hurdle for enterprises is the high failure rate of AI projects, with studies indicating that a staggering 95% of enterprise AI pilots fail to reach production. The root causes are rarely the technology itself, but rather issues like poor prioritisation, inadequate governance, and execution missteps. Data fragmentation and inconsistent access further complicate matters, with the vast majority of organisations reporting difficulties in maintaining the trusted data required for reliable AI. This often leads to an investment bias, where resources flow toward high-visibility projects while high-return back-office opportunities are neglected.
Teradata’s approach directly confronts these obstacles. The service deploys field-proven consultants who guide companies in prioritising use cases and establishing strong governance, ensuring focus is placed on high-impact opportunities. Using a sprint-based delivery model, experts work iteratively with Teradata’s AI tools to deploy agentic systems that learn and adapt within specific business contexts. This process transforms disconnected data into a unified knowledge platform, delivering sustained performance and scalability across departments like operations, finance, and customer experience.
Michael Hutchinson, Chief Operating Officer at Teradata, observed that the speed of AI innovation is forcing companies to reinvent themselves at an unprecedented pace. He emphasised that businesses require expert guidance on how to effectively use AI, not just acquire the technology. Teradata AI Services are built to help organisations realise value by focusing on high-impact activation, deploying at scale with reusable components, and monetising their AI investments with clear, measurable outcomes.
The services support a diverse array of industry applications. In banking, this includes anti-money laundering and regulatory compliance, while healthcare can leverage it for advanced image processing. Other common use cases are customer hyper-personalisation, churn prediction, anomaly detection, and real-time engagement optimisation. Underpinning this versatility is Teradata’s Customer Intelligence Framework, which translates decades of industry intellectual property into reusable data products, AI models, and trusted agents. A critical component is modernisation, which allows companies to leverage previous data investments by transforming them into a powerful knowledge platform.
Teradata AI Services are structured across three adaptable layers:
AI Activation establishes the foundation for a connected analytic ecosystem. This involves deploying core Teradata components like the MCP Server, Enterprise Vector Store, and AgentBuilder. It also includes modernisation services such as data pipeline optimisation and data modelling to create reusable data products from the outset.
AI Value Realisation employs an agile, sprint-based approach to bring AI outcomes into live production. This phase leverages specific application products, including Vantage Customer Experience (VCX) and Customer Interaction Manager (CIM), through a results-focused implementation. By using industry-specific reusable data products, Teradata delivers measurable business value iteratively, demonstrating continuous improvement.
AI Sustainment ensures the long-term health and relevance of deployed AI systems. This layer covers model operations and ongoing management, guaranteeing that use cases in production continue to perform effectively and can leverage the latest technological advancements as they emerge.
Success is measured through clear key performance indicators, such as return on investment, automation rates, error reduction, and agent reliability. The service offers a flexible, tiered engagement model to align with different customer budgets and maturity levels, delivering prioritised use cases in agile sprints. Options range from remote teams to fully localised implementations for specific data access or regulatory needs. The use of reusable data products accelerates expansion into new use cases and industries, compounding the value delivered over time.
Teradata AI Services are now generally available across all regions and support both cloud and on-premises environments. Customers can initiate engagements immediately, with the service continuously evolving as new capabilities are added to Teradata’s AI tool suite. Fully bundled and deployed by Teradata’s expert teams, the services provide a customised, ready-to-use solution, with pricing determined on a case-by-case basis.
(Source: ITWire Australia)
