Behind every successful, modern analytics and AI initiative is a strong data foundation supporting it, comprising of an effective data integration strategy. With data integration in place, enterprises can uncover vital insights through analytics while enabling AI to make predictions and take intelligent actions.
Abhilash Mula, director, product management, Informatica, joined DBTA’s webinar, Accelerate Modern Analytics and AI With Data Integration and Engineering Solutions, to illustrate how Informatica's intelligent data integration and engineering can drive timely analytics and AI, cultivate a robust data foundation, and improve overall productivity, workload optimization, and interoperability.
“We are living through an incredible transformation right now,” said Mula. “Modern analytics and AI are fundamentally changing how enterprises operate, and turning them into what I call adaptive organizations." These adaptive organizations are capable of unlocking data-driven insights that they never had before, automating business processes, and making smarter, faster business decisions as a result, according to Mula.
However, exponential data complexity—fueled by the hundreds of applications, thousands of agents, and petabytes of data an enterprise maintains—complicates the process of becoming an adaptive organization. “And this isn’t getting any simpler, it’s only accelerating more and more,” said Mula, with data management of these complex estates being equally as challenging.
Tools and solutions are not in short supply, however, where “Today’s challenge is not about a lack of options, but the challenge is how to make all of this work seamlessly,” Mula emphasized.
The Informatica strategy connects three key pillars—the best data management products, a unified data management platform, and multi-vendor, multi-cloud, and hybrid support—to simplify modern data management to ultimately fuel modern analytics and AI. Informatica’s Intelligent Data Management Cloud (IDMC) centralizes a slew of integrated data and AI services for seamless operation, from data cataloging to data integration, API and app integration, AI agent engineering, data quality and observability.
With Informatica’s approach, enterprises benefit from:
- Best-of-market tools and products
- Scaled cloud modernization
- Rapid innovation in GenAI
- CLAIRE (Informatica’s AI core)-driven intelligence
- Informatica’s ecosystem momentum and expanded connectivity
IDMC’s data integration and data engineering services deliver a broad array of capabilities, including data replication, data ingestion, change data capture (CDC), data validation, orchestration, and unstructured data processing. Underpinned by a metadata system of intelligence, Informatica emphasizes productivity development, workload optimization, data and platform portability, a future-proof approach, and enterprise-grade operationalization.
This is only a snippet of the full Accelerate Modern Analytics and AI With Data Integration and Engineering Solutions webinar. For the full webinar, featuring more detailed explanations, a Q&A, and more, you can view an archived version of the webinar here.