AWS Machine Learning Blog

APRIL 3, 2025

By analyzing their data, organizations can identify patterns in sales cycles, optimize inventory management, or help tailor products or services to meet customer needs more effectively. About the Authors Emrah Kaya is Data Engineering Manager at Omron Europe and Platform Lead for ODAP Project.

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AWS Data Governance Data Silos SQL 91

IBM Journey to AI blog

JUNE 15, 2023

There’s no debate that the volume and variety of data is exploding and that the associated costs are rising rapidly. The proliferation of data silos also inhibits the unification and enrichment of data which is essential to unlocking the new insights. Therefore, customers are looking for ways to reduce costs.

Data Warehouse 110

Data Warehouse Data Lakes Cloud Data Analytics 110

Alation

OCTOBER 5, 2021

Without a doubt, no company can achieve lasting profitability and sustainable growth with a poorly constructed data governance methodology. Today, all companies must pursue data analytics, Machine Learning & Artificial Intelligence (ML & AI) as an integral part of any standard business plan.

Data Governance 96

Data Governance Data Quality Data Silos Analytics 96

IBM Journey to AI blog

MAY 9, 2023

Supporting the data management life cycle According to IDC’s Global StorageSphere, enterprise data stored in data centers will grow at a compound annual growth rate of 30% between 2021-2026. [2] ” Notably, watsonx.data runs both on-premises and across multicloud environments.

Data Warehouse 92

Data Warehouse AWS AI AI 92

Dataversity

FEBRUARY 17, 2022

With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

IBM Journey to AI blog

MAY 15, 2024

According to International Data Corporation (IDC), stored data is set to increase by 250% by 2025 , with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. As a result, users boost pipeline performance while ensuring data security and controls.

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Data Pipeline ETL SQL Database 85

Dataversity

JULY 12, 2022

Today IT teams are woefully understaffed and overwhelmed with dozens of pressing daily demands from across their organizations. They are under pressure to drive the performance, accessibility, and security of IT systems, services, and applications at a time when the uptick in remote work has made it even more challenging to support those areas.

Data Silos 52

Data Silos Cloud Data Artificial Intelligence Artificial Intelligence 52