IBM Journey to AI blog

OCTOBER 22, 2024

Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement. Indeed, IDC has predicted that by the end of 2024, 65% of CIOs will face pressure to adopt digital tech , such as generative AI and deep analytics.

Data Silos 102

Data Silos Data Pipeline DataOps Business Intelligence 102

IBM Data Science in Practice

NOVEMBER 28, 2022

Insights from data gathered across business units improve business outcomes, but having heterogeneous data from disparate applications and storages makes it difficult for organizations to paint a big picture. How can organizations get a holistic view of data when it’s distributed across data silos?

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

IBM Journey to AI blog

MAY 9, 2024

Challenges in data governance for healthcare and how data lineage can help Data governance can help healthcare organizations maximize the accuracy and security of their data assets. Data quality issues Positive business decisions and outcomes rely on trustworthy, high-quality data. ” Michael L.,

Data Governance 85

Data Governance Data Silos Data Quality Predictive Analytics 85

phData

NOVEMBER 9, 2023

This blog was originally written by Keith Smith and updated for 2024 by Justin Delisi. Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. 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.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98