Tokyo, 100-8116,
Japan
NTT Communications Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by NTT Communications and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 333840 NTT Communications employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that NTT Communications has purchased the following applications: Oracle Management Cloud for ML and Data Science Platforms in 2017, IPsoft Amelia AI Platform for Chatbots and Conversational AI in 2015, OPROARTS Prime for Analytics and BI in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems NTT Communications is running and its propensity to invest more and deepen its relationship with Oracle , IPsoft , OPRO or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing NTT Communications revenues, which have grown to $91.68 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for NTT Communications intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Management Cloud | ML and Data Science Platforms | AI Development | n/a | 2017 | 2018 |
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.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IPsoft | Legacy | IPsoft Amelia AI Platform | Chatbots and Conversational AI | AI-Powered Application | n/a | 2015 | 2016 |
In 2015, NTT Communications implemented IPsoft Amelia AI Platform for Chatbots and Conversational AI to enable a cognitive agent service supporting its Contact Center services. The project targeted a summer 2016 service launch, delivering multilingual customer interactions in English and Japanese and focusing on customer-facing contact center functions within NTT Com, the ICT solutions and international communications business of the NTT Group.
The IPsoft Amelia AI Platform was configured to provide natural language understanding, dialog management, and adaptive learning capabilities consistent with Chatbots and Conversational AI deployments. Implementation work emphasized conversational workflows, session orchestration, intent recognition, and continuous learning pipelines to allow the cognitive agent to improve responses over time, with configuration tailored for voice and text contact channels used by contact center agents and customers.
Integration was executed to embed the cognitive agent into NTT’s Contact Center services while preserving existing routing and escalation paths and adding automated first touch resolution. Operational coverage focused on customer experience and contact center teams at NTT Com, with a staged rollout planned for summer 2016 to observe agent learning behavior and iteratively refine conversational models, supporting the stated objective that the agent learn from experiences to successively upgrade the quality of customer experience provided through NTT’s Contact Center services.
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Cognitive Computing | AI-Powered Application |
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2015 | 2015 |
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| OPRO | Legacy | OPROARTS Prime | Analytics and BI | Analytics and BI | n/a | 2017 | 2017 |
In 2017, NTT Communications implemented OPROARTS Prime to automate creation and printing of large-scale event invitation letters across its Japan operations. OPROARTS Prime, classified in the Analytics and BI category, was configured to ingest contact and event records directly from Salesforce, eliminating manual Excel re-entry and enabling QR-code enabled invitations for event attendees.
The implementation focused on document generation and print orchestration capabilities, including template-driven letter composition, QR code embedding per invitation, batch processing for high volume runs, and automated print job queuing. Configuration work centered on data mapping from Salesforce fields to templates, rules-based selection of print options, and validation logic to ensure consistency between CRM data and produced invitations, reflecting common Analytics and BI document automation workflows.
Operational scope targeted the events and CRM process area, bringing events management and CRM teams into a centralized invitation production workflow to reduce handoffs. Governance changes standardized templates and data validation rules within OPROARTS Prime, and the deployment cut administrative effort and delivery lead time while reducing input errors for the events and CRM process area.
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Blockchain
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Blockchain Platform | Blockchain |
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2023 | 2023 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Audio Video and Web Conferencing | Collaboration |
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2018 | 2018 |
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Audio Video and Web Conferencing | Collaboration |
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2011 | 2011 |
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Collaboration | Collaboration |
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2018 | 2018 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Digital Asset Management | Content Management |
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2020 | 2020 |
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Digital Signing | Content Management |
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2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Marketing Automation | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2016 | 2016 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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IT Service Management | ITSM |
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2021 | 2021 |
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IT Service Management | ITSM |
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2020 | 2020 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Robotic Process Automation | PaaS |
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2020 | 2020 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Application Hosting and Computing Services | IaaS |
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2019 | 2019 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2016 | 2016 |
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Disaster Recovery as a Service (DRaaS) | IaaS |
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2015 | 2015 |
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Network Management and Monitoring | IaaS |
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2015 | 2015 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Identity and Access Management (IAM) | CyberSecurity |
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2024 | 2025 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2006 | 2006 |
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