Pickl AI

DECEMBER 25, 2024

Summary: Data silos are isolated data repositories within organisations that hinder access and collaboration. Eliminating data silos enhances decision-making, improves operational efficiency, and fosters a collaborative environment, ultimately leading to better customer experiences and business outcomes.

Data Silos 52

Data Silos Database Data Quality ETL 52

Smart Data Collective

OCTOBER 20, 2021

In this new reality, leveraging processes like ETL (Extract, Transform, Load) or API (Application Programming Interface) alone to handle the data deluge is not enough. As per the TDWI survey, more than a third (nearly 37%) of people has shown dissatisfaction with their ability to access and integrate complex data streams.

ML 133

ML ML Big Data Big Data 133

The MLOps Blog

MAY 17, 2023

However, efficient use of ETL pipelines in ML can help make their life much easier. This article explores the importance of ETL pipelines in machine learning, a hands-on example of building ETL pipelines with a popular tool, and suggests the best ways for data engineers to enhance and sustain their pipelines.

ETL 59

ETL Data Pipeline ML ML 59

IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

AWS 93

AWS Database ETL AI 93

phData

APRIL 18, 2023

This is due to a fragmented ecosystem of data silos, a lack of real-time fraud detection capabilities, and manual or delayed customer analytics, which results in many false positives. Snowflake Marketplace offers data from leading industry providers such as Axiom, S&P Global, and FactSet.

Data Silos 52

Data Silos ETL Clustering Analytics 52

Precisely

JUNE 2, 2023

Innovators in the industry understand that leading-edge technologies such as AI and machine learning will be a deciding factor in the quest for competitive advantage when moving to the cloud. To learn more, read our ebook. To learn more, read our ebook 5 Tips to Modernize Data Integration for the Cloud.

Data Silos 52

Data Silos ETL Data Quality Data Pipeline 52

phData

NOVEMBER 9, 2023

The primary objective of this idea is to democratize data and make it transparent by breaking down data silos that cause friction when solving business problems. What Components Make up the Snowflake Data Cloud?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98