By: Shibaji Mitra, Data Architect, Informatica DI CoE, LTIMindtree

Artificial Intelligence (AI) is transforming industries worldwide. Businesses everywhere want to leverage power of AI but successful AI depends on one critical factor–quality data. Without it, AI models struggle. This is where Informatica Data Management Cloud (IDMC) becomes invaluable. IDMC helps organizations prepare their data for AI. It covers both business and technology needs.

The business imperative: Why data readiness matters for AI

Many businesses are excited about AI. They see its potential for new insights and automation. AI can personalize customer experiences. It can optimize supply chains. It can even detect fraud. But AI models are only as good as the data they consume. Poor data leads to biased or inaccurate AI. This can lead to the wrong business decisions, and it can even damage customer trust.

Imagine an AI trying to predict customer churn. If the customer data is incomplete or duplicated, the predictions will be flawed. This means wasted resources and missed opportunities. Data quality, governance and accessibility are not just IT concerns. They are core business requirements for AI success.

Leaders need to understand the data landscape. They must ensure data is trustworthy. Data must be readily available to data scientists. This speeds up AI development. It also increases the reliability of AI outcomes. Investing in data management is investing in your AI future.

Table 1: Business benefits of AI-ready data

The technology backbone: How IDMC prepares data for AI

On the technology side, preparing data for AI is complex. Data often resides in many different systems. It can be in various formats. It might have errors or inconsistencies. IDMC offers a comprehensive suite of capabilities to address these challenges. It provides an intelligent, cloud-native platform.

Data integration: Connecting the dots

AI models need a complete view of data. This often means consolidating data from diverse sources. These sources can be on-premises or across multiple clouds. IDMC provides extensive connectivity as it connects to databases, applications and data lakes. It supports both batch and real-time data integration. This ensures efficient movement of data so the requisite data is available when needed.

Data quality: Trusting your inputs

Poor data quality is a major hurdle for AI. It leads to unreliable models. IDMC offers robust data quality features and it can profile data to identify issues. It can cleanse data by correcting errors. It standardizes data formats. It also monitors data quality continuously. This ensures that only high-quality, trusted data feeds your AI models. Informatica’s CLAIRE AI engine automates many of these quality tasks.

Data governance: Ensuring responsible AI

Data governance is vital for ethical AI. It defines who can access data and how. IDMC provides comprehensive governance capabilities, so you can categorize sensitive data. It enforces data privacy policies and tracks data lineage. This means you can see where data came from and you can see how it was transformed. This transparency builds trust in your AI initiatives. It helps meet regulatory compliance too.

Data catalog: Finding the right data

Data scientists often spend too much time searching for data. An enterprise data catalog solves this problem. IDMC’s data catalog intelligently scans metadata. It discovers and understands all your data assets. It provides a searchable inventory. This allows data scientists to quickly find the relevant datasets. They can also understand the data’s business context and technical details. This saves significant time.

Master data management: A single source of truth

AI applications typically rely on consistent master data. Think of customer records or product information. IDMC’s master data management (MDM) capabilities create a single, accurate view of this critical data. It links and matches data from different systems. This eliminates duplicates and inconsistencies. A unified master record provides a reliable foundation for AI models. This improves model accuracy and insights.

CLAIRE AI engine: AI powering data management

A key differentiator for IDMC is its CLAIRE AI engine. CLAIRE leverages machine learning to automate data management tasks. It learns from metadata and usage patterns. This intelligence automates data discovery and streamlines data preparation. It also provides recommendations for data quality rules. This utilization of AI in data management enables greater efficiency. It frees up data professionals for higher-value work.

CLAIRE offers two flagship products to address distinct yet complementary challenges – CLAIRE Copilot and CLAIRE GPT. CLAIRE Copilot serves as an assistant by empowering data professionals to accelerate their productivity while developing data assets. Simultaneously, CLAIRE GPT serves as a conversational interface to democratize data and enable non-technical business users to easily discover and utilize data.

Table 2: Key IDMC technical capabilities for AI readiness

Conclusion: A strategic foundation for AI success

Preparing for AI is not a one-time project; It is an ongoing journey. It requires a robust and intelligent data management strategy and Informatica Data Management Cloud offers the tools and capabilities to do so. It helps businesses on both the strategic and technical fronts.

By ensuring high-quality, governed and accessible data, IDMC empowers organizations. It allows them to build trustworthy AI models. It accelerates time to value from AI investments. Ultimately, IDMC helps businesses unlock the full potential of AI. Leveraging it enables businesses to drive innovation and competitive advantage.

References

Introducing CLAIRE GPT The Future of Data Management | Gaurav Pathak, Dec 19 2024, https://www.informatica.com/blogs/introducing-claire-gpt-the-future-of-data-management.html

Delivering AI-ready Data With Informatica and CLAIRE AI | Mike Leone, Apr 2025, https://www.techtarget.com/esg-global/wp-content/uploads/2025/04/Enterprise-Strategy-Group-Brief-Informatica.pdf

Informatica CLAIRE: AI Co- Pilot in IDMC | Akshada S & Rashmi P, Oct 22 2024, https://www.informatica.com/content/dam/informatica-cxp/techtuesdays-slides-pdf/Informatica%20CLAIRE%20-%20AI%20Co-Pilot%20in%20IDMC.pdf

Enhanced Data Quality Rule Recommendation in Claire GPT| Informatica, Mar 31 2025, https://www.youtube.com/watch?v=bmRLsVtWkS8&vl=fr-FR

Exclusive: Informatica launches AI agents to transform data management | Melania Watson, May 22 2025, https://securitybrief.asia/story/exclusive-informatica-launches-ai-agents-to-transform-data-management

Understanding the Benefits of Informatica’s CLAIRE GPT | Anja G., https://www.hulkapps.com/blogs/ecommerce-hub/understanding-the-benefits-of-informaticas-claire-gpt