The Future of GenAI in Data Analytics
Explore the latest trends, critical challenges, and market data shaping data readiness and AI integration in modern organizations.
Only 18% of organizations have a fully embedded AI culture, and just 23% possess seamless data integration systems, according to a recent study “Data Readiness for Generative AI. Building the Foundation for Next-generation AI Projects,” conducted by Enterprise Strategy Group by TechTarget and co-sponsored by Strategy.
The research highlights a significant challenge: As data complexity continues to grow, many organizations struggle to fully utilize the data they collect, with most feeding only 21-50% of their data into AI models.
Data quality has never been more important. As data integration challenges grow, organizations seek data environments that are not only clean and governed but also aligned with broader business goals.
Read the report to discover insights on:
- The growing importance of data environments
- The foundations of data readiness and the biggest challenges
- The role of data compliance and governance in shaping data readiness
- Integration and interoperability as key focus areas for organizations
- How organizations prioritize data quality and integration
- Data security and ethical considerations.
Download the free report, courtesy of Strategy.