The Need for Reliable AI Foundations 

The Enterprise Data Mandate: Why Scale Alone Isn't Enough 

Let's acknowledge an uncomfortable truth: enterprise success now hinges on AI and machine learning. Every major organization is betting on predictive models, automated decision-making, and intelligent analytics to drive competitive advantage. Gartner reports that AI adoption continues accelerate across industries. Here's the catch that keeps data leaders awake at night. 

AI models are only as good as the data they consume. 

Build a sophisticated fraud detection model on corrupted transaction data, and you'll flag legitimate customers while missing actual fraud. Train a demand forecasting system on incomplete inventory records, and you'll optimize a reality that doesn't exist. The algorithm doesn't know the difference. It learns what you feed it—garbage in, confidently wrong predictions out. 

For enterprises operating at serious scale, Teradata VantageCloud provides the industry-leading foundation for unified data and trusted AI. It's the engine that makes petabyte-scale analytics possible, the platform that serves as the single source of truth for mission-critical workloads. 

But even the best engine needs continuous, proactive monitoring. The massive scale and complexity of data flowing through VantageCloud creates a challenge that the platform alone wasn't designed to solve: automated, AI-driven data reliability assurance that guarantees quality for every workload, every model, every decision. 

This is the gap we fill at digna. We complement VantageCloud by providing the AI-powered observability and quality assurance that turns data at scale into reliably trusted insights. 

Teradata VantageCloud: The Unifying Foundation for Enterprise AI 

The Power of Scale and Unified Data 

Before we discuss how we add value, let's be clear about why Teradata's platform is the essential foundation for enterprise data success. Three capabilities make VantageCloud the prerequisite for serious AI initiatives: 

• Massive Scale with Consistent Performance 

VantageCloud doesn't just store petabytes—it makes those petabytes queryable and analytically useful at speed. The platform's massively parallel processing architecture handles complex queries across diverse workloads simultaneously. For AI applications, this means models can train on complete datasets rather than samples, accessing the full breadth and depth of enterprise data. 

• Data Unification Across Hybrid Environments 

Real enterprises don't live in a single cloud. They exist in complex hybrid and multi-cloud environments shaped by decades of technology decisions, regulatory requirements, and business acquisitions. VantageCloud serves as the single source of truth across these environments, providing unified access without forcing disruptive migrations. Industry analysts recognize this flexibility as critical for enterprise adoption. 

• In-Database Advanced Analytics 

Here's where VantageCloud becomes particularly powerful for AI: ClearScape Analytics brings the models to the data rather than moving massive datasets to external processing environments. This eliminates latency, reduces security exposure, and dramatically simplifies the infrastructure required for production AI. 

This is the foundation. Now let's talk about what's missing. 

digna's AI-Powered Data Reliability Layer for Teradata Vantage  

Guaranteeing Data Quality for AI/ML Workloads on VantageCloud 

The Challenge 

AI models running on VantageCloud are remarkably sensitive to data quality issues. Not just obvious corruption—but subtle drift, gradual degradation, and emergent anomalies that fall within "acceptable" ranges but represent genuine problems. A distribution that shifts slightly. A correlation that weakens over time. A data feed that becomes incrementally less complete. 

These issues don't trigger alerts. They don't violate explicit thresholds. They simply degrade model performance gradually until someone notices predictions aren't as accurate as they used to be. By then, the damage is done—and finding the root cause requires forensic investigation across petabytes of data. 

The digna Solution: AI-Driven Anomaly Detection 

Our Data Anomalies module connects directly to your VantageCloud environment, using machine learning to automatically learn baseline behavior for your critical data elements. We understand the normal distributions, the expected correlations, the seasonal patterns, the relationships between different metrics. 

Then we monitor continuously—in real-time—for deviations that indicate potential quality issues. When something changes in ways inconsistent with learned patterns, we flag it immediately. Before it reaches your ClearScape Analytics models. Before it poisons your AI outputs. Before it impacts business decisions. 

This isn't threshold alerting. Our AI understands context. It distinguishes meaningful anomalies from normal business variation. It adapts as your data evolves legitimately, so you're not drowning in false positives. 

The Value: Prevention of model poisoning. Drastically reduced model maintenance and retraining costs. Confidence that the inputs feeding your AI investments are continuously validated. 

Assuring Critical Business and Regulatory SLAs with Teradata 

The Challenge 

Mission-critical reports and regulatory filings—think BCBS 239 compliance for financial services—depend on data being delivered on time, every time. Late data means late reports. Late reports mean regulatory penalties, reputational damage, and decisions made on stale information. 

The problem is visibility. When you're managing thousands of data pipelines feeding VantageCloud from dozens of source systems, knowing whether everything arrived on schedule requires either heroic manual effort or automated monitoring that understands your specific SLA requirements. 

The digna Solution: Timeliness and Validation Modules 

Our Data Timeliness module provides proactive monitoring of every data pipeline feeding your VantageCloud environment. We learn expected arrival patterns—understanding that some feeds vary by market hours, that month-end differs from mid-month, that certain sources have legitimate variability. And we alert immediately when something is late, missing, or arrives unexpectedly. 

Our Data Validation module adds systematic enforcement of business rules at the record level. Reconciliation requirements, mandatory field completeness, cross-system consistency checks—all executed automatically, continuously, with full documentation for audit purposes. 

The Value: Elimination of late reports. Reduced exposure to financial and regulatory penalties. Confidence that business decisions are made using the latest available data. Audit-ready documentation that proves compliance rather than merely claiming it. 

Providing End-to-End Governance and Observability for VantageCloud 

The Challenge 

Managing governance and conducting root-cause analysis across massive, complex data flows in a multi-cloud environment is manually intensive. When something goes wrong—and in enterprise data, something always goes wrong eventually—finding the source of the problem can take days of investigation across multiple systems, teams, and documentation repositories. 

For compliance purposes, demonstrating data lineage and governance controls requires either extensive manual documentation or automated tracking that captures the actual state of your data flows. 

The digna Solution: Automated Lineage and Schema Tracking 

Our Data Schema Tracker continuously monitors structural changes across your entire data estate. When a column is added, dropped, or renamed—when a data type changes—we detect it immediately. No more silent failures. No more discovering that a critical field disappeared three weeks ago during a routine system update. 

Combined with our lineage tracking capabilities, this creates comprehensive visibility into data flows within and around your VantageCloud environment. When regulators ask "where did this number come from?", you have documented, real-time evidence of the complete data journey. 

The Value: Simplified audit trails for compliance. Root-cause analysis reduced from days to minutes. A centralized Data Health Dashboard that complements Teradata's operational monitoring with quality-focused observability. 

The Power of Integration: Teradata Scale Meets digna Reliability 

The Integrated Advantage for AI-Powered Data Reliability 

Let's summarize what this combination delivers: 

Teradata VantageCloud provides: 

• Petabyte-scale data storage and processing 

• Unified access across hybrid and multi-cloud environments 

• In-database AI/ML execution with ClearScape Analytics 

• The single source of truth for enterprise data 

digna provides: 

• AI-powered anomaly detection that catches quality issues before they impact models 

• Continuous timeliness monitoring that ensures SLA compliance 

• Automated validation that enforces business rules at scale 

• Schema tracking and lineage that simplifies governance and accelerates troubleshooting 

Together, this creates something neither platform delivers alone: continuously validated, AI-ready data at enterprise scale. 

The Business Outcome

This isn't about adding another tool to your stack. It's about maximizing the return on your VantageCloud investment by ensuring the data flowing through that powerful platform is trustworthy. 

Organizations using this integrated approach move faster, and they can deploy AI models with confidence because the data foundation is continuously validated. They achieve better outcomes; their models perform more reliably because they're protected from quality degradation. They reduce risk as regulatory compliance becomes an automated capability rather than a periodic scramble. 

The result is true, reliable data products at the highest scale. Not data you hope is good enough. Data you know is trustworthy. 

Ready to Bring AI-Powered Reliability to Your Teradata Investment? 

See how digna complements your VantageCloud environment with automated data quality and observability. Request a demo to experience the integrated solution with your own data and use cases. 

Explore how digna works and discover why enterprises trust us to ensure their most critical data platforms deliver reliable, AI-ready insights.