From streaming data to action: CMCD v2, machine learning and agentic investigation
IBC is returning to Amsterdam from 11–14 September 2026, and this year EINBLIQ.IO will be exhibiting as part of the German Pavilion. Meet us at booth 3.B48c to see how high-fidelity streaming observability can accelerate the journey from detecting a problem to understanding and resolving it.
Streaming teams already have access to enormous volumes of player, CDN and workflow data. The challenge is no longer simply collecting more telemetry. It is finding the relevant signals, connecting viewer-side effects with delivery-side evidence and turning those findings into confident operational decisions.
That is what we will be demonstrating at IBC 2026.
Connecting client-side QoE with CDN-side QoS
EINBLIQ.IO combines high-fidelity client telemetry with CDN logs, request-level delivery information, video workflow data and other operational sources.
Our SPECTRA data layer ingests, standardises and sessionises this information, creating a unified view of the streaming delivery chain. This makes it possible to translate viewer-visible effects (such as rebuffering, quality reductions or playback failures) into concrete CDN-side evidence.
Streaming teams can determine which viewers, devices, applications, regions, ISPs or delivery components are affected. The same evidence also enables more focused collaboration with CDN and technology partners, helping them identify and address specific service issues.
CMCD v2: richer signals, available faster
Common Media Client Data version 2 was finalised by the Consumer Technology Association’s WAVE Project and published in April 2026 as CTA-5004-B. The updated specification allows structured player data to be communicated consistently to CDNs and third-party data services.
At IBC, we will showcase EINBLIQ.IO as a native CMCD v2 endpoint, including support for event mode.
Event mode allows player-side events to be delivered directly to our platform, making richer signals available faster for automated investigation, decision support and multi-CDN analysis. It also extends observability beyond conventional delivery metrics to additional context such as player error messages, application events and Dynamic Ad Insertion information.
Machine learning finds the patterns. Agents investigate them.
More telemetry alone does not solve the observability challenge. Relevant issues are often hidden within billions of otherwise normal events.
Our FOCUS AI platform combines high-throughput machine learning with domain-aware AI agents:
-
- Machine learning detects anomalies, hidden issue clusters and patterns that teams may not have been actively looking for.
- Specialised agents verify whether a finding is meaningful, assess viewer impact and compare affected and unaffected groups.
- The platform investigates likely root causes and recommends the appropriate next step.
- Confirmed findings can become actionable tickets or support guarded operational actions such as targeted Multi-CDN or Content Steering decisions.
The result is not simply another dashboard or a conversational interface layered onto existing analytics. EINBLIQ.IO helps streaming teams move from “something went wrong” to “this is what happened, this is who was affected and this is what to do next.”
Our approach has already demonstrated its scalability and operational value while supporting a major European broadcaster during the recent FIFA World Cup. By combining CMCD-based viewer experience signals with multi-CDN delivery logs, EINBLIQ.IO helped uncover relevant patterns and provide concrete evidence for root-cause investigation.
See it live at IBC 2026
Visit us to explore how EINBLIQ.IO can help your organisation:
-
- accelerate root-cause analysis;
- reduce manual firefighting;
- improve collaboration across player, CDN and video workflow teams;
- strengthen streaming reliability and viewer experience;
- protect the subscription and advertising revenue that depends on engaged audiences.
Meet us at IBC 2026, booth 3.B48c, and see how EINBLIQ.IO turns streaming data into action.
Book a meeting with our team and reserve a time for a personal demonstration at IBC.