
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.
AI Snips
Chapters
Transcript
Episode notes
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.
Trust Is The New Foundation
- Trust and governance resurfaced as prerequisites for enterprise AI adoption and automation.
- Juan Cicada compares governance to brakes: necessary to generate trust for larger impact.
Data Teams Must Lead AI
- Data teams must stop being reactive ticket-takers and own AI’s semantic foundations.
- Tim Gasper urges teams to partner with business and manage semantics, context, and knowledge.
