More Insights

Browse our treasure trove of podcasts, case studies and blogs to your heart’s content.

Danielle Royston at the DSP World Leader's Forum, Windsor
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Blog

First voice. Then phones. Then cloud. Now AI.

4 May 2026 - Top tech leaders are risking everything on AI. They did the math. They see that the window to establish a lead is closing. So, where’s telco?

Blog

Open sesame

20 April 2026 - Vendors couldn’t keep up with Open APIs. Now the bar is even higher. The good news: you don’t have to wait for them anymore.

Blog

Take back your telco

6 April 2026 - Your systems are a mess because your vendors own the context layer of your business. Take your context back to create real options.

Blog

Your DR needs a DR

23 March 2026 - Your on-prem disaster recovery is outdated. To survive geopolitical disruption, you need public-cloud-based DR that can spin up in a completely different country in minutes.

Blog

The five myths of agentic AI

9 March 2026 - 5 major misconceptions are holding telcos back from agentic AI. You don’t need pristine conditions. You need an ontology that lets AI both reason and act.

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A read-only ontology is just a data lake with better marketing

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.”

Blog

Amdocs’ AI reckoning

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.

Blog

You built a data lake. You needed a river.

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.