It’s well understood that AI initiatives are only as good as the data that fuels them, depending on unified, accessible, trusted information. However, achieving such a robust data foundation requires a thorough examination of existing data challenges within the enterprise, and adopting the right mixture of technologies and paradigms to drive AI success.
Chetan Swain, senior product marketing manager, Informatica, joined DBTA’s webinar, Data Integration and Governance for the AI Era, to explore emerging technologies and trends reshaping how organizations manage data for AI enablement, from data fabric and data mesh, to real-time data integration, no-/low-code integration, and more.
Swain began the conversation by explaining that, “Modern analytics and AI are transforming enterprises into insight-driven, adaptive organizations, improving decision making, personalizing experiences, and delivering competitive advantage,” yet a strong data foundation is a stringent requirement.
The reality is that modern data ecosystems are becoming more and more complex, which ultimately increases data silos and fragmentation and weakens an enterprise’s data backbone. This disorganization and oversaturation within data architectures drives flawed analysis and insights, leading to poor decision making and an inability to adopt advanced analytics and AI, explained Swain.
This is where platforms such as Informatica’s Intelligent Data Management Cloud (IDMC) comes into play, where it “not only helps to get all of your data together…but it also helps transform your data, ensuring that it’s high quality, [that] it’s governed.”
IDMC is an all-in-one platform offering a broad array of services—from data cataloging to data integration, API and app integration, AI agent engineering, data quality and observability, and more—centered around a metadata system of intelligence, ensuring data is always contextual regardless of where it flows.
Regarding the enablement of AI, IDMC helps in several key ways with a variety of technologies, such as CLAIRE Intelligent Structure Discovery (ISD). This solution empowers organizations with the most intuitive self-service tools for working with semi-structured and unstructured data at scale for all parsing needs, driving actionable insights via integration with existing data pipelines.
Additionally, with CLAIRE Copilot, enterprises can democratize data management with an AI assistant designed around unified metadata intelligence. Using natural language prompts, organizations can generate ingestion/replication and integration pipelines that drive productivity, efficiency, and the overall availability of integration workflows. Merging simplicity and productivity, CLAIRE Copilot:
- Discovers trustworthy sources and enriches information for data assets key to the discovery of the right assets
- Offers intuitive and NL interfaces for generating essential data pipelines from scratch
- Identifies challenges and recommends solutions, pointing to the relevant documentation
- Executes pipelines that run intelligently in the most optimized engine
- Generates summaries and documentation of assets or a combination of assets for easy consumption
This is only a snippet of the full Data Integration and Governance for the AI Era webinar. For the full webinar, featuring more detailed explanations, a Q&A, and more, you can view an archived version of the webinar here.