AI Expertise Crucial for Successful Data Migrations
Enterprises Face Critical AI Skills Gap in Data Migrations
According to Caylent's 2025 Data Migration Report, organizations across industries are struggling with complex data migrations, with artificial intelligence emerging as both a solution and a challenge.
Alarming Migration Statistics
The survey of 300+ leaders from education, finance, healthcare and other sectors revealed:
- Only 6% completed their most challenging migration projects on schedule
- Just 6% achieved zero downtime during migrations
- Nearly half (46%) experienced over five hours of system downtime
The most difficult migration scenarios included:
- On-premises to cloud transitions
- Database version upgrades
- Cross-cloud migrations
These disruptions led to customer experience issues, revenue losses, and operational delays.
The AI Paradox in Migrations
The report uncovered contradictory findings about AI adoption:
- 77% believe AI is "effective or highly effective" for migrations
- Yet 53% lack understanding of which AI tools suit their needs The most time-consuming migration tasks were:
- Data transfer between source and target databases
- Testing database integrations
- Transforming architecture for target platforms
Leadership Perspective
"Modernization is urgent," stated Lori Williams, CEO of Caylent. "Organizations remain hindered by technical debt and outdated methods, resulting in unnecessary downtime."
The company combines generative AI with engineering expertise to accelerate migrations while reducing legacy costs and creating adaptable infrastructure.
Key Points:
📌 Only 6% complete complex migrations on time 📌 Most experience significant downtime (5+ hours) 📌 While 77% see AI's potential, implementation expertise lags 📌 Over half struggle identifying suitable AI tools 📌 Cloud transitions pose greatest migration challenges
