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Top Technical Skills You Must Have as a Developer in 2025

Flipboard

SQL and MongoDB SQL remains critical for structured data management, while MongoDB caters to NoSQL database needs, which is essential for modern and flexible data applications. Data Structures and Algorithms (DSA): Why: Fundamental for clearing coding interviews across software development roles.

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

Flipboard

BCT Digital’s rt360 EWS is designed for flexibility, integrating both traditional methods, such as ETL, database links and flat files, and modern approaches, such as application programming interfaces (APIs) and streaming feeds. by Smruthi Nadig Non-performing assets (NPAs) have long plagued India’s banking and financial services sector.

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Future-Proofing Your App: Strategies for Building Long-Lasting Apps

Iguazio

The 4 Gen AI Architecture Pipelines The four pipelines are: 1. The Data Pipeline The data pipeline is the foundation of any AI system. It's responsible for collecting and ingesting the data from various external sources, processing it and managing the data.

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Implementing Gen AI for Financial Services

Iguazio

To learn more, watch the webinar “Implementing Gen AI for Financial Services” with Larry Lerner, Partner & Global Lead - Banking and Securities Analytics, McKinsey & Company, and Yaron Haviv, Co-founder and CTO, Iguazio (acquired by McKinsey), which this blog post is based on. View the entire webinar here. Read more here.

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Building and Scaling Gen AI Applications with Simplicity, Performance and Risk Mitigation in Mind Using Iguazio (acquired by McKinsey) and MongoDB

Iguazio

MongoDB for end-to-end AI data management MongoDB Atlas , an integrated suite of data services centered around a multi-cloud NoSQL database, enables developers to unify operational, analytical, and AI data services to streamline building AI-enriched applications. In the end, we’ll provide resources on how to get started.

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Unlocking Tabular Data’s Hidden Potential

ODSC - Open Data Science

Many mistakenly equate tabular data with business intelligence rather than AI, leading to a dismissive attitude toward its sophistication. Standard data science practices could also be contributing to this issue. In practice, tabular data is anything but clean and uncomplicated.

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How Fifth Third Bank Implements a Data Mesh with Alation and Snowflake

Alation

Every organization wants to better serve its customers, and that goal is often achieved through data. Anyone building anything net-new publishes to Snowflake in a database driven by the use case and uses our commoditized web-based GUI ingestion framework. Together they noted these major lessons from executing the data mesh: 1.