Tag: Data quality

AIBusinessSoftware

Enterprises Face Data Hurdles Despite Surging Investment in Agentic AI, Study Finds

Nearly all large enterprises have committed budget to Agentic AI initiatives, with 39% planning to spend $1 million or more. However, data quality and integration challenges mean most organizations won’t achieve scale until 2028-2030, according to new industry research.

Budget Commitment Meets Implementation Reality

Enterprise investment in Agentic AI has reached a critical tipping point, with 97% of organizations having committed budget to these initiatives, according to the Qlik 2025 Agentic AI Study. The research, conducted by Enterprise Technology Research (ETR), indicates that substantial financial resources are being allocated, with 39% of enterprises reportedly planning to spend $1 million or more and 34% dedicating 10-25% of their total AI budget specifically to Agentic AI projects.

by Liam Dorsey
AITechnology

Riverbed Launches Oracle-Powered Solution to Overcome AI Data Transfer Challenges

Riverbed has introduced a new Oracle-based service designed to accelerate petabyte-scale AI data movement. The solution reportedly addresses critical bottlenecks that prevent 90% of AI projects from reaching enterprise-wide deployment, according to recent research findings.

AI Data Movement Challenges Revealed in Global Research

According to reports from Riverbed’s 2025 Global AI Research, three-quarters of 1,200 surveyed organizations plan to establish an AI data repository strategy, with 90% identifying data movement as vital to their AI success. The research indicates that just 10% of AI projects progress beyond pilot mode into full enterprise deployment, with analysts suggesting that data quality issues and slow data movement represent significant barriers.

by Liam Dorsey