ServiceNow Podcasts Season 11 Premiere: What happened in 2025 and where are we going in 2026
Jan 8, 2026
Discover the pivotal shifts in the data landscape as experts examine the leap from AI proofs of concept to real-world applications in 2025. Explore the critical role of semantics and ontologies in driving advanced AI capabilities, and hear about the consolidation trends among tech vendors. Governance emerges as a vital element, balancing trust and productivity during transitions. The discussion dives into the future challenges of automation and unstructured data, while emphasizing the importance of data teams owning outcomes and driving business value.
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AI Moved From POC To Production
- In 2025 AI moved beyond POCs into production for many low-hanging enterprise use cases.
- Juan Cicada warns true transformational AI needs semantic foundations, not just models.
Ontologies Became Mainstream
- Ontologies and knowledge graphs became buzzy as teams realized BI semantic layers aren’t enough.
- Juan Cicada says ontologies are essential for agents and richer enterprise semantics.
Tool Consolidation Accelerated
- 2025 saw significant tool convergence and consolidation across streaming, databases, and metadata.
- Tim Gasper frames the market as four core data functions collapsing into platform convergence.