Browse our treasure trove of podcasts, case studies and blogs to your heart’s content.
Podcast
2 March 2026 - Appledore Research's John Abraham joins DR to explain why context, not data, is the real blocker for AI at scale, and how ontologies give AI the business logic it needs to actually work.
Blog
23 February 2026 - Real ontology gives AI controls, not copies. It’s the runtime where decisions execute, not just the schema that describes your data—like most vendors’ “ontologies.”
17 February 2026 - In this special episode, DR explains the one tough question you should be asking vendors before you buy AI and why the Totogi Ontology is key to delivering real world results.
9 February 2026 - Amdocs announced its agentic AI platform, beat earnings, then watched its stock drop 9%. Why? Investors wonder how it can survive as AI eliminates the need for consulting at scale.
2 February 2026 - In this What’s Up with Totogi episode, Danielle Rios explains how BSS Magic’s unified ontology solves for semantic inconsistency and enables AI across legacy systems with measurable results.
26 January 2026 - Data lakes achieve semantic consistency, but in a read-only environment. To actually run AI at scale, you need that in an executable environment. That’s an ontology.
19 January 2026 - Microsoft’s Rick Lievano talks about the themes dominating MWC26 and shares real AI deployment results from telcos, how Microsoft is driving network autonomy, and what's holding operators back.
12 January 2026 - When you have 20 entities all running different systems, how do you make it all work together? Spoiler: not through vendor consolidation. There’s a faster, better way (that actually works).
