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Book of the Month: Data Models for Banking, Finance, and Insurance

Dataversity

Welcome to the first Book of the Month for 2025.This This time, well be going over Data Models for Banking, Finance, and Insurance by Claire L. This book arms the reader with a set of best practices and data models to help implement solutions in the banking, finance, and insurance industries.

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How object storage helps address unstructured data’s increased security risks

Dataconomy

The vast majority of data created today is unstructured – that is, it’s information in many different forms that don’t follow conventional data models. According to IDC, 80% of all data by 2025. That makes it difficult to store and manage in a standard relational database.

Database 170
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AI in 2025: Five Defining Themes

Flipboard

Wed like to share five key themes for AI in 2025 that undoubtedly come with challenges for businesses but also the potential to redefine whats possible. The year 2025 will see them rapidly evolve and act more autonomously. This requires evaluating model compliance with and technical interpretation of various regulatory frameworks.

AI 65
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Getting Started with Python and FastAPI: A Complete Beginner’s Guide

Flipboard

Core Features Figure 2: Fast API for Web Development: 2025 Detailed Review Asynchronous Programming FastAPI supports Pythons async and await syntax, allowing it to handle a large number of concurrent requests efficiently. This makes it ideal for high-performance use cases like real-time chat applications or APIs for machine learning models.

Python 153
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Operations Analyst Job Description and Duties for 2025

Pickl AI

Summary: Operations Analyst job in 2025 are integral to improving efficiency, data analysis, and process optimisation. With career growth opportunities and a focus on data-driven decisions, this job remains central to organisational success. Their roles now include using advanced technologies like AI and automation.

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Master Data Annotation in LLMs: A Key to Smarter and Powerful AI!

Data Science Dojo

A critical component in the success of LLMs is data annotation, a process that ensures the data fed into these models is accurate, relevant, and meaningful. billion by 2025. This indicates the increased demand for high-quality annotated data sources to ensure LLMs generate accurate and relevant results.

AI 235
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On the implementation of digital tools

Dataconomy

The scale of data production and transmission has grown exponentially. Forbes reports that global data production increased from 2 zettabytes in 2010 to 44 ZB in 2020, with projections exceeding 180 ZB by 2025 – a staggering 9,000% growth in just 15 years, partly driven by artificial intelligence.