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real time CDC and SPARK IOblend

Real-Time Insurance Claims with CDC and Spark

From Batch to Real-Time: Accelerating Insurance Claims Processing with CDC and Spark 💼 Did you know? In the insurance sector, the move from overnight batch processing to real-time stream processing has been shown to reduce the average claims settlement time from several days to under an hour in highly automated systems. Real-Time Data and Insurance  […]

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Agentic AI: The New Standard for ETL Governance

Autonomous Finance: Agentic AI as the New Standard for ETL Governance and Resilience  📌 Did You Know? Autonomous data quality agents deployed by leading financial institutions have been shown to proactively detect and correct up to 95% of critical data quality issues.  The Agentic AI Concept Agentic Artificial Intelligence (AI) represents the progression beyond simple prompt-and-response

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IOblend: Simplifying Feature Stores for Modern MLOps

IOblend: Simplifying Feature Stores for Modern MLOps Feature stores emerged to solve a real challenge in machine learning: managing features across models, maintaining consistency between training and inference, and ensuring proper governance. To meet this need, many solutions introduced new infrastructure layers—Redis, DynamoDB, Feast-style APIs, and others. While these tools provided powerful capabilities, they also

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feature_store_value_ioblend

Rethinking the Feature Store concept for MLOps

Rethinking the Feature Store concept for MLOps Today we talk about Feature Stores. The recent Databricks acquisition of Tecton raised an interesting question for us: can we make a feature store work with any infra just as easily as a dedicated system using IOblend? Let’s have a look. How a Feature Store Works Today Machine

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IOblend_ERP_CRM_data_integration

CRM + ERP: Powering Predictive Analytics

The Data-Driven Value Chain: Predictive Analytics with CRM and ERP  📊 Did you know? A study on real-time data integration platforms revealed that organisations can reduce their average response time to supply chain disruptions from 5.2 hours to just 37 minutes.  A Unified Data Landscape  The modern value chain is a complex ecosystem where every component is interconnected,

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agentic AI data migrations

Enhancing Data Migrations with IOblend Agentic AI ETL

LeanData Optimising Cloud Migration: for Telecoms with Agentic AI ETL  📡 Did you know? The global telecommunications industry is projected to create over £120 billion in value from agentic AI by 2026.  The Dawn of Agentic AI ETL  For data experts in the telecoms sector, the term ETL—Extract, Transform, Load—is a familiar, if often laborious, process. It’s

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data integration IOblend

LeanData: Reduce Data Waste & Boost Efficiency

LeanData Strategy: Reduce Data Waste & Boost Efficiency | IOblend 📊 Did you know? Globally, we generate around 50 million tonnes of e-waste every year.  What is LeanData? LeanData is more than a passing trend — it’s a disciplined, results-focused approach to data management.At its core, LeanData means shifting from a “collect everything, sort it later” mentality to

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The Data Deluge: Are You Ready?

The Data Deluge: Are You Ready? 📰 Did you know? Some modern data centres are being designed with modularity in mind, allowing them to expand upwards – effectively “raising the roof” – to accommodate future increases in data demand without significant structural overhauls. — Raising the data roof refers to designing and implementing a data

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