How Alation, ACS, and TCS Are Redefining Data Quality for GenAI Success

By Anthony Lempelius, Chloe San Nicolas

Published on August 25, 2025

data quality for GenAI with ACS, Alation, Tata

In the rapidly evolving landscape of GenAI and Agentic AI, enterprise leaders are discovering a sobering truth: AI is only as good as the data that powers it.

The age of AI has made data not just an asset, but a dependency. Without trust in that data, innovation quickly hits a wall.

Despite soaring investments and pilot projects, McKinsey’s latest report reveals a troubling paradox: More than 80% of enterprises report no meaningful impact from their GenAI initiatives. The technology is there. The talent is ready. So why the underwhelming results?

The answer lies in the silent multiplier few are prioritizing: data quality. Data quality is the foundational block that makes AI insightful, impactful, and relevant. It’s also the focus of an upcoming joint webinar with AWS, Tata Consultancy Services (TCS), and Alation, where you’ll hear how some of the largest enterprises in the world are solving this challenge to unlock scalable, trusted GenAI. 

Read on to learn more!

Banner for AWS, TCS, Alation DQ webinar - large

Why GenAI isn’t delivering – yet

As mentioned, most GenAI deployments are trapped in pilot mode. Horizontal copilots and chatbots might improve productivity on the surface—but their benefits are diffuse and hard to measure.

The true value lies in vertical, domain-specific use cases, where GenAI and AI agents can automate complex, end-to-end business processes. But less than 10% of these use cases escape pilot purgatory, blocked by a common culprit: inconsistent, untrustworthy, or inaccessible data.

It’s not a technology problem, but a trust problem. And trust starts with data quality.

GenAI systems, particularly Agentic AI models, don’t just need access to data. They need data that is:

  • Accurate and free from bias or duplication

  • Timely and reflective of real-world changes

  • Governed, traceable, and aligned with regulatory standards

  • Contextualized, so agents can reason across workflows with memory and intent

Without this foundation, even the most advanced LLMs can hallucinate, produce misleading insights, or fail to gain user trust – driving up costs and eroding ROI.

In the enterprise context, poor data quality doesn’t just slow things down; it also risks business outcomes, reputations, and compliance.

Enter Alation: Native data quality for the agentic era

Alation is leading the way in solving this challenge. With the introduction of Native Data Quality capabilities within the Alation Data Intelligence Platform, enterprises can now:

  • Continuously monitor and score data quality at the source

  • Surface DQ insights directly in the data catalog, where data consumers make decisions

  • Embed trust signals and lineage into GenAI and Agent workflows

  • Accelerate the resolution of data issues across cross-functional teams

This isn’t about fixing broken data – it’s about empowering GenAI to make reliable, repeatable decisions at scale.

The result? AI outputs become more trustworthy, actionable, and cost-efficient—and organizations can scale from experimentation to industrialized GenAI and Agentic AI deployments. With native data quality, GenAI becomes less experimental and more operational.

Scaling agentic AI: A collaborative blueprint

To help data leaders put these insights into action, Alation is teaming up with AWS and TCS for a can't-miss 30-minute webinar:

Banner for AWS, TCS, Alation DQ webinar - large

In this session, you’ll hear:

  • AWS’s market vision for GenAI and Agentic AI—and why governed, AI-ready data is the linchpin

  • Alation’s product evolution, including how Native Data Quality empowers GenAI pipelines and AI agents

  • TCS’s field experience, delivering large-scale AI transformations using Alation as the system of value

What you’ll take away

  • A strategic framework to scale AI with less risk and greater trust

  • A look inside Alation’s newest Agentic DQ capabilities

  • Real-world case examples of data product marketplaces powering GenAI success

  • Actionable next steps to embed DQ in your AI architecture and workflows

Ready to move from pilot to scalable AI performance?

Data quality isn't just an enabler. It's the multiplier that separates pilot fatigue from performance at scale.

Join us to learn how Alation, AWS, and TCS are unlocking the next era of AI transformation.

Register for the webinar here.

    Contents
  • Why GenAI isn’t delivering – yet
  • The link between data quality and AI fidelity
  • Enter Alation: Native data quality for the agentic era
  • Scaling agentic AI: A collaborative blueprint
  • What you’ll take away
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