AIStor

A collection of 56 posts tagged with "AIStor"

Major global electric utility provider delivers modern smart meter data lakehouse powered by AIStor

David Koppe David Koppe on Case Study |
Major global electric utility provider delivers modern smart meter data lakehouse powered by AIStor

Our customer, a large electric utility company with millions of users, was faced with challenges common to utility and energy companies around the world: how to manage ever-growing energy demands, while diversifying energy supply to incorporate renewable and sustainable sources. A key element of their strategy is a smart metering initiative - bringing the power of technology and AI to

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A Global Telecommunications Leader and MinIO AIStor: Powering the Next Generation of Data Lakehouse for Analytics and AI

David Koppe David Koppe on Case Study |
A Global Telecommunications Leader and MinIO AIStor: Powering the Next Generation of Data Lakehouse for Analytics and AI

1. Executive Summary Our customer, a global telecommunications leader, established a Data Platform team to transform how data improved customer experiences and business operations. Faced with ballooning data growth and legacy storage constraints, they replaced aging legacy data storage systems with a high-performance, cloud-native data lakehouse, built on MinIO’s AIStor. The result: a scalable, cost-efficient foundation ready for AI,

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How MinIO AIStor helped transform a global digital payments provider’s S3 private cloud

David Koppe David Koppe on Case Study |
How MinIO AIStor helped transform a global digital payments provider’s S3 private cloud

This global digital payments provider has provided online payment systems for nearly 30 years, seeing its highest rates of growth over the past ten years.  Its user base expanded from over 150 million to more than 400 million customers worldwide which boosted its total payment volume from $200 billion to more than $1.5 trillion.  This led to their data

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Financial Institution Reduces Fraud Risk using AI built on AIStor Data Lakehouse

David Koppe David Koppe on Case Study |
Financial Institution Reduces Fraud Risk using AI built on AIStor Data Lakehouse

1. Executive Summary A leading national payment and financial infrastructure provider transformed its analytics and fraud detection capabilities by migrating from a legacy Hadoop system to a modern data lakehouse powered by MinIO AIStor and Trino on Kubernetes. The shift delivered a 65% reduction in fraud model runtime, a fivefold increase in workload capacity, and significant cost savings by replacing

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Discover, Transact, Govern? Unpacking the Iceberg Catalog API Standard's True Scope.

Discover, Transact, Govern? Unpacking the Iceberg Catalog API Standard's True Scope.

In data engineering, open standards are foundational for building interoperable, evolvable, and non-proprietary systems. Apache Iceberg, an open table format, is a prime example. Along with compute, Iceberg brings structure and reliability to data lakes. When coupled with high-performance object storage like MinIO AIStor, Iceberg unlocks new avenues for creating next-generation, high-performance, cost-effective, and scalable architectures.  However, this powerful table

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Introducing Model Context Protocol (MCP) Server for MinIO AIStor

Pavel Anni Pavel Anni on AI/ML |
Introducing Model Context Protocol (MCP) Server for MinIO AIStor

GenAI is entering the agentic phase, with software agents collaborating with humans and other agents to reason and achieve complex goals. Agents are already demonstrating incredible intelligence and are very helpful with question answering, but as with humans, they need the ability to discover and access software applications and other services to actually perform useful work. The creators of such

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AIStor Integration with NVIDIA NIM™

AIStor Integration with NVIDIA NIM™

Building upon AIStor's robust AI capabilities, MinIO's PromptObject has been enabling users to interact with their data through natural language queries as described here. PromptObject transforms how users interact with stored objects by allowing them to ask questions about their data's content and extract information using natural language—eliminating the need to write complex

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