London, WC1N 3AX,
United Kingdom
endjin
endjin, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. endjin collaboration with software players such as Microsoft empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| endjin | Microsoft | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development |
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
|---|---|---|---|---|---|---|---|---|---|---|
|
|
TalkTalk | Communications | 2019 | $1.8B | United Kingdom | Microsoft | Microsoft Azure Machine Learning | ML and Data Science Platforms | 2016 |
In 2016, TalkTalk deployed Microsoft Azure Machine Learning to build an anomaly detection system for TV Set Top Box data. The implementation used Microsoft Azure Machine Learning within the ML and Data Science Platforms category and processed approximately 15GB per day of telemetry and event data collected from set top boxes. TalkTalk’s prior relationship with Microsoft and use of the Azure platform following the blinkbox acquisition informed the decision to standardize on Azure capabilities.
The delivered solution centered on anomaly detection models implemented in Microsoft Azure Machine Learning, with category-aligned workflows for model training, batch scoring, and automated inference orchestration. Pipelines were designed to consume daily telemetry volumes, apply trained anomaly detection logic, and push scored outputs into downstream analytics. Model operationalization and repeatable retraining cycles were implemented to support ongoing detection of abnormal patterns in device telemetry.
Integration points included Power BI for visualization, where Microsoft Azure Machine Learning model outputs populated dashboards that showed anomalies and trends to operational teams. The project was delivered in partnership with London based Microsoft Gold Partner endjin, leveraging Azure platform services for data ingestion, model hosting, and analytics visualization.
Governance and rollout were oriented around the endjin partnership and productionizing machine learning outputs into Power BI for continuous monitoring. The implementation produced Power BI dashboards that surfaced anomalies and trends, enabling operational visibility into set top box behavior.
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Buyer Intent: Companies Evaluating endjin Services
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