Every telco exec is talking about AI agents. Almost nobody is talking about what those agents actually need to work: context.
Not just data — the logic, rules, and decision-making processes that define how your business actually operates. That knowledge currently lives in two places: buried in vendor code nobody fully understands, and inside people's heads. No agentic system, no matter how shiny, can make decisions without it.
In this episode, I sit down with John Abraham, Partner and Principal Analyst at Appledore Research, to dig into why a lack of context is the real blocker for AI at scale, why most approaches only solve half the problem, and how an ontology gives AI the business logic it needs to not just analyze, but decide and act.
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This week’s guest:
With over 16 years of experience in the telecom industry, John leads Appledore’s Digital Enablement & Monetization program. Previously, he was at Analysys Mason for 11 years, where he led the digital experience research segment as principal analyst. He has experience working with a varied client base on topics ranging from digitization benchmarking and procurement for CSPs; strategy and go-to market for vendors; and commercial and technical due diligence for financial institutions. Earlier, as a consultant at a BSS vendor, he led requirements gathering, solution definition, and implementation at multiple Tier-1 telcos in Asia and Europe. John holds a bachelor’s degree in computer science from Anna University (India) and an MBA from Bradford University School of Management (UK).
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