IBM Journey to AI blog

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

Data Pipeline 85

Data Pipeline ETL SQL Database 85

Pickl AI

DECEMBER 10, 2024

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Businesses harness these innovations for real-time analytics, operational efficiency, and data democratisation, ensuring competitiveness in 2025. billion in 2022, it is projected to surge to USD 279.31

Analytics 52

Analytics Analytics Augmented Analytics Machine Learning 52

Precisely

JUNE 2, 2023

Gartner estimates that 85% percent of organizations plan to fully embrace a cloud-first strategy by 2025. As companies strive to leverage AI/ML, location intelligence, and cloud analytics into their portfolio of tools, siloed mainframe data often stands in the way of forward momentum. To learn more, read our ebook.

Data Silos 52

Data Silos ETL Data Quality Data Pipeline 52

IBM Journey to AI blog

JULY 3, 2024

The quality and quantity of data can make or break AI success, and organizations that effectively harness and manage their data will reap the most benefits. Data is exploding, both in volume and in variety. With an open data lakehouse, you can access a single copy of data wherever your data resides.

AI 45

AI AI Data Quality Database 45

ODSC - Open Data Science

SEPTEMBER 29, 2023

Organizations that can capture, store, format, and analyze data and apply the business intelligence gained through that analysis to their products or services can enjoy significant competitive advantages. But, the amount of data companies must manage is growing at a staggering rate. It truly is an all-in-one data lake solution.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52