Remove 2025 Remove Data Governance Remove Data Observability
article thumbnail

Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities.

article thumbnail

Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top Data Integrity Trends Fueling Confident Business Decisions in 2023

Precisely

With global data creation projected to grow to more than 180 zettabytes by 2025 , it’s not surprising that more organizations than ever are looking to harness their ever-growing datasets to drive more confident business decisions.

article thumbnail

The Power of AI in Precisely Software: Accelerating Efficiency and Empowering Users

Precisely

Here are some telling predictions from Gartner analysts: By 2024, 90% of data quality technology buying decisions will prioritize ease of use, automation, operational efficiency, and interoperability.

article thumbnail

AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

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. This approach ensures that data quality initiatives deliver on accuracy, accessibility, timeliness and relevance.

AI 45