Knowledge Graphs: The Foundation for Autonomous Intent-Driven Telco Networks
episode
The Fast Mode Podcasts: Breaking News, Analysis and Updates From Telecoms Industry
30 min
2 speakers
4 chapters
transcribed 1 month ago
Transcript
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Transcript generated automatically by AI and may contain errors.
What is the main topic discussed in this episode?
The knowledge graph basically uh it takes uh an ontology as the basis but tree presents it as a graph and thus it becomes a living thing.
Welcome to the FastMod Studios. I'm Tara Neal, and with me today is Martin Ruckert, Chief AI Officer at Talents. Talents is a technology and management consultancy for complex digital transformation. The company supports organizations in modernizing legacy IT landscapes, building scalable digital platforms, and developing customer-centric products that generate measurable. Welcome Martin. Great to have you on today's episode.
Hi, thanks for having me. Uh so so happy to be here.
Awesome. Okay, so let's begin. How would you define the talents knowledge graph and what are its core components?
Mm.
Yeah, thanks for the question. So the I would want to step uh back a little bit and and let's say explain why knowledge graphs in in general are a a good concept, sp specifically in the telco industry where we are uh where we have a big footprint. So the the situation in in telco industry is that they or many of them have uh a large portion of legacy systems which uh basically represent their business in terms of the operational part like they call it the OSS and they have the business part of the of the um of their industry or their their business which is the BSS and so um that is uh by and large uh for some telcos has a long a long history and there's many Systems involved like CRM systems and technical uh network systems, etc.
etc. And they're all not really meant for the future in terms of okay, now everyone's talking about uh agentic AI, and and um so uh agentic AI lives from context, as we all know, as we use uh cloud uh co-work or uh chat GPT or uh uh These things, so context is key. And so in this um uh target of um being an agentic telco, uh, which was one of the uh primary topics in NWC, rightfully so, because uh that is where we believe the industry is going, um, then uh you need to somehow integrate all these legacy sims systems, and uh we all know that so. That is where
So that has been existing for a while. So this wish for integrating various legacy systems into one central organized landscape is not really a new idea. But with knowledge graphs, there is a new opportunity because opportunity like knowledge graphs can be an overlay over all these systems. And because knowledge graphs per their Graph concept have relationships, you can connect, for instance, a customer to a node in the network, like a cell, like a cell tower or something like that. Like it's hell. Yeah. And so you know which customer is using what cell tower, which is using uh what is the device that the customer is using. And since this is all connected, you have like a living representation. of your network as an overlay.
So no need to replace the old systems, but you can essentially really um uh uh uh put that as an overlay and then have for instance agent AI uh uh go on top of that.
Mm-hmm. Wow. Does that make
sense?
Yeah, it does. It does. Because you know, everyone talks about the fragmentation of OSS and BSS. They both are like different systems. And then of course you can dig deep into BSS, find out some insights, and then you can dig deep into OSS and find another set of insights. But how do you put that together? And like you pointed out, a customer, if you take a customer, you take that information from BSS and now, you know, through OSS mind w which network node that he's he's at. But you know, with this overlay with this overlay that you've just mentioned, we now know exactly where his uh data travelling to and, you know, what congestion point is he navigating and stuff. This is this is an excellent thing.
Yeah, exactly. So the um there is uh uh schemas how those um like those I uh isolate also originally isolated semantic uh data points uh should be connected, for instance uh TM forum camera and and uh uh those types of ontologies, if you so will. Um and then the knowledge graph basically uh it takes a an ontology as The basis, but tree presents it as a graph, and thus it becomes a living thing.
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Chapters
4 chapters
1
What is the main topic discussed in this episode?
0:00–5:41
2
What is the Tallence Knowledge Graph and its core components?
5:41–11:15
3
Why are legacy OSS/BSS systems a problem for telcos and how does a Knowledge Graph solve it?
11:15–29:39
4
What operational challenges in today’s telco environment does the Knowledge Graph address?
29:39–29:55
Speakers
2 identifiedMore from The Fast Mode Podcasts: Breaking News, Analysis and Updates From Telecoms Industry
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