Apps Run The World Apps Purchases

Customer	Industry	Empl.	Revenue	Country	Vendor	Application	Category	When	VAR/SI	Insight Source
Damco	Professional Services	10000	$2.7B	Netherlands	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2015	n/a
NTT Communications	Professional Services	333840	$91.7B	Japan	Oracle	Oracle Management Cloud	ML and Data Science Platforms	2017	n/a	In 2017 NTT Communications deployed Oracle Management Cloud to address persistent ERP application performance issues, using Oracle Management Cloud within the ML and Data Science Platforms category to introduce machine learning driven observability across mission critical applications. The decision targeted faster identification of root causes and proactive detection of anomalous behavior that was impacting end user experience. The implementation centered on ML-powered performance monitoring and anomaly detection, supplemented by log analytics and diagnostic tracing to surface transaction-level bottlenecks. Oracle Management Cloud was configured to collect telemetry from application stacks, correlate logs and metrics, and apply automated anomaly scoring to prioritize incidents for operations teams. Operational coverage focused on mission critical ERP and supporting application landscapes, enabling application owners and infrastructure teams to access unified performance dashboards and correlated event timelines. The deployment emphasized continuous monitoring of application latency and error patterns, and the instrumentation approach supported persistent collection rather than ad hoc sampling. Governance and workflow changes accompanied the technical rollout, with runbook adjustments to incorporate ML alerts into incident triage and escalation paths. The shift oriented teams toward proactive investigation driven by Oracle Management Cloud signals, rather than relying solely on user reports of slow performance. As an outcome NTT Communications gained improved visibility into performance bottlenecks and the ability to proactively detect and resolve anomalies in mission critical applications, leveraging Oracle Management Cloud to reduce time to identify root causes and support ongoing performance management within the ML and Data Science Platforms framework.
	Professional Services	200	$20M	Germany	IBM	IBM Watson Studio (ex IBM Data Science Experience)	ML and Data Science Platforms	2017	n/a
	Professional Services	3800	$1.8B	United States	Oracle	Oracle Management Cloud	ML and Data Science Platforms	2017	n/a
	Professional Services	150	$20M	United States	Oracle	Oracle Management Cloud	ML and Data Science Platforms	2017	n/a
	Professional Services	36000	$7.2B	United States	IBM	IBM Watson Studio (ex IBM Data Science Experience)	ML and Data Science Platforms	2016	n/a
	Professional Services	791000	$64.9B	Ireland	IBM	IBM Watson Studio (ex IBM Data Science Experience)	ML and Data Science Platforms	2017	n/a
	Professional Services	18000	$7.6B	Norway	IBM	IBM Watson Studio (ex IBM Data Science Experience)	ML and Data Science Platforms	2017	n/a
	Professional Services	100	$10M	United States	IBM	IBM Watson Studio (ex IBM Data Science Experience)	ML and Data Science Platforms	2016	n/a
	Professional Services	6	$1M	Netherlands	IBM	IBM Analytics for Apache Spark (Managed Cloud Spark Service)	ML and Data Science Platforms	2016	n/a

Logo

Customer

Industry

Empl.

Revenue

Country

Vendor

Application

Category

When

VAR/SI

Insight

Insight Source

Damco

Professional Services

10000

$2.7B

Netherlands

Microsoft

Microsoft Azure Machine Learning

ML and Data Science Platforms

2015

n/a

NTT Communications

Professional Services

333840

$91.7B

Japan

Oracle

Oracle Management Cloud

ML and Data Science Platforms

2017

n/a

In 2017 NTT Communications deployed Oracle Management Cloud to address persistent ERP application performance issues, using Oracle Management Cloud within the ML and Data Science Platforms category to introduce machine learning driven observability across mission critical applications. The decision targeted faster identification of root causes and proactive detection of anomalous behavior that was impacting end user experience. The implementation centered on ML-powered performance monitoring and anomaly detection, supplemented by log analytics and diagnostic tracing to surface transaction-level bottlenecks. Oracle Management Cloud was configured to collect telemetry from application stacks, correlate logs and metrics, and apply automated anomaly scoring to prioritize incidents for operations teams. Operational coverage focused on mission critical ERP and supporting application landscapes, enabling application owners and infrastructure teams to access unified performance dashboards and correlated event timelines. The deployment emphasized continuous monitoring of application latency and error patterns, and the instrumentation approach supported persistent collection rather than ad hoc sampling. Governance and workflow changes accompanied the technical rollout, with runbook adjustments to incorporate ML alerts into incident triage and escalation paths. The shift oriented teams toward proactive investigation driven by Oracle Management Cloud signals, rather than relying solely on user reports of slow performance. As an outcome NTT Communications gained improved visibility into performance bottlenecks and the ability to proactively detect and resolve anomalies in mission critical applications, leveraging Oracle Management Cloud to reduce time to identify root causes and support ongoing performance management within the ML and Data Science Platforms framework.