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Here’s Why Automation For Data Lakes Could Be Important

Smart Data Collective

Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation.

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Agentic AI and AI‑ready data: Transforming consumer‑facing applications

Dataconomy

If another customer arrives with a different goal (say, browsing a category), the agent can just as easily shift to a curated, magazine-like shopping experience tailored to that individuals tastes. Equally important, first-party behavioral data is a source of competitive advantage for brands building AI agents.

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Indian BFSI Reinvents Risk Detection with AI-Driven Early Warning Systems

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Encora also partners with BFSI clients to develop scalable, AI-driven EWS and real-time data pipelines using cloud-native architectures.

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Top Technical Skills You Must Have as a Developer in 2025

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Must-Have Skills for Data Engineers: Cloud Platforms : Expertise in AWS, Azure, and Google Cloud Platform (GCP) is vital for managing and deploying cloud-based data infrastructure. Database Management : It is crucial to have knowledge of both relational (e.g., MySQL, PostgreSQL) and non-relational (e.g., MongoDB, Cassandra) databases.

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