Abstract
ANALYST CONNECTION Sponsored by: Qlik and Artha Solutions AI and Data Modernization: Enterprise Readiness and Value Realization December 2025 Questions posed by: Qlik and Artha Solutions Answers by: Stewart Bond, Research Vice President, Data Intelligence and Integration Software How are enterprises reacting to AI, and are leaders aligned with business objectives for AI adoption? AI's rapid evolution is prompting enterprises to move decisively from experimentation to adoption. This shift is not only technological but also organizational, as enterprises seek to realize business value from their AI investments. The primary business objectives driving AI adoption are increased operational efficiency (including cost savings), faster innovation, and revenue growth. These priorities reflect a clear recognition that AI is a lever for both productivity and competitive differentiation.
Key Takeaways
- How Data Governance supports stronger enterprise data outcomes.
- Where Qlik fits into the modernization roadmap.
- Needs Review: Link this asset to the right ThinkArtha solution area.
Topics Covered
Who Should Read This
- Data, analytics, and enterprise architecture leaders
- Business technology teams evaluating modernization programs
- Manufacturing leaders planning data transformation initiatives
