Flipboard

FEBRUARY 12, 2025

Wed like to share five key themes for AI in 2025 that undoubtedly come with challenges for businesses but also the potential to redefine whats possible. The year 2025 will see them rapidly evolve and act more autonomously. This will only worsen, and companies must learn to adapt their models to unique, content-rich data sources.

AI 65

AI AI Data Silos Artificial Intelligence 65

Precisely

SEPTEMBER 8, 2023

For data teams, that often leads to a burgeoning inbox of new projects, as business users throughout the organization strive to discover new insights and find new ways of creating value for the business. In the meantime, data quality and overall data integrity suffer from neglect.

Data Governance 52

Data Governance Data Quality Data Silos Big Data 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. Effective data quality management is crucial to mitigating these risks. But it’s not so simple.

Data Quality 45

Data Quality AI AI Database 45

Alation

JULY 6, 2021

As data collection and volume surges, so too does the need for data strategy. As enterprises struggle to juggle all three, data governance offers a vital framework. The world is collectively generating trillions of gigabytes of new data. And one enterprise alone can generate a world of data. Siloed Data.

Data Governance 52

Data Governance Data Quality Data Silos Data Profiling 52

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

Dataversity

MARCH 28, 2022

Businesses today collect and store an astonishing amount of data. According to estimates from IDC, 163 zettabytes of data will have been created worldwide by 2025. However, this data is not always useful to business leaders until it is organized to be of higher quality and reliability.

Data Analysis 52

Data Analysis Data Analysis Data Silos Data Quality 52