Tokyo, 105-6215,
Japan
Mitsui Knowledge Industry (MKI) Technographics
Mitsui Knowledge Industry (MKI) Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Mitsui Knowledge Industry (MKI) and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 2000 Mitsui Knowledge Industry (MKI) employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
Mitsui Knowledge Industry (MKI) has purchased the following applications: Microsoft Azure Machine Learning for ML and Data Science Platforms in 2015, Cisco Webex Meetings for Audio Video and Web Conferencing in 2020, Salesforce Pardot for Marketing Automation in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Mitsui Knowledge Industry (MKI) is running and its propensity to invest more and deepen its relationship with Microsoft , Cisco Systems , Salesforce 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 Mitsui Knowledge Industry (MKI) revenues, which have grown to $400.0 million 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 Mitsui Knowledge Industry (MKI) 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.
Mitsui Knowledge Industry (MKI) Tech Stack and Enterprise Applications
Mitsui Knowledge Industry (MKI) AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2015 | 2016 |
In 2015, Mitsui Knowledge Industry (MKI) implemented Microsoft Azure Machine Learning as part of its ML and Data Science Platforms adoption. The deployment extended MKI’s existing use of Microsoft Azure infrastructure-as-a-service, which the research and development organization had operated since 2010, into platform-as-a-service machine learning and advanced analytics capabilities.
Microsoft Azure Machine Learning was configured to support standard ML platform workflows, including model experimentation and iterative training, model lifecycle management, and deployment pipelines for operational scoring. The implementation emphasized repeatable pipelines and automated model packaging to align data science workflows with production deployment patterns typical of ML and Data Science Platforms.
The implementation integrated with MKI’s Azure IaaS footprint and Azure data analytics services already in use, enabling data ingestion and compute orchestration within the same public cloud tenancy. Operational scope centered on the research and development department and professional services teams, with platform capabilities provisioned to support customer-facing analytics solutions as well as internal R&D projects.
Governance focused on centralizing experimentation artifacts and standardizing model handoff processes, adapting developer workflows for collaborative model versioning and deployment. MKI positions Microsoft Azure Machine Learning and its broader Azure platform investments as a key digital transformation enabler for both its internal business and customer engagements.
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Mitsui Knowledge Industry (MKI) Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Cisco Systems | Legacy | Cisco Webex Meetings | Audio Video and Web Conferencing | Collaboration | n/a | 2020 | 2020 |
In 2020, Mitsui Knowledge Industry implemented Cisco Webex Meetings as an Audio Video and Web Conferencing solution and is using Cisco Webex Meetings on their website. The deployment establishes Cisco Webex Meetings as the primary platform for external meeting access and client facing collaboration.
The implementation leverages Cisco Webex Meetings cloud hosted meeting infrastructure to deliver scheduled meetings, video conferencing, screen sharing, and cloud recording capabilities consistent with Audio Video and Web Conferencing functionality. Cisco Webex Meetings is surfaced through MKI's public website to provide direct join links for external customers and partners, supporting both browser based access and native clients.
Operational scope focuses on client services and consulting teams within Japan, with IT functions accountable for provisioning, access controls, and meeting scheduling governance. Governance work centers on meeting policies and scheduling workflows to standardize external meeting access via the website and to support internal remote collaboration across MKI's professional services business functions.
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Collaboration | Collaboration |
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2015 | 2015 |
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Mitsui Knowledge Industry (MKI) CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Salesforce | Legacy | Salesforce Pardot | Marketing Automation | CRM | n/a | 2020 | 2020 |
In 2020, Mitsui Knowledge Industry (MKI) deployed Salesforce Pardot as its Marketing Automation platform. Salesforce Pardot is implemented on the company website to capture prospects, instrument web behavior, and support automated nurturing workflows. The deployment is oriented toward the marketing and demand generation functions within MKI, aligning web-based lead capture with campaign orchestration and prospect lifecycle management.
Configuration focuses on core Marketing Automation capabilities including landing pages and form instrumentation, email campaign automation, prospect activity tracking, segmentation, and lead scoring with score-driven routing. Operational scope centers on digital marketing and marketing operations teams, with processes to govern campaign taxonomy, prospect lifecycle stages, and handoffs to engagement owners. Governance emphasizes campaign-level tracking, prospect activity history for lead qualification, and data quality controls to support consent management for web-originated leads for Salesforce Pardot.
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Mitsui Knowledge Industry (MKI) 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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2014 | 2014 |
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Application Hosting and Computing Services | IaaS |
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2015 | 2015 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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IT Decision Makers and Key Stakeholders at Mitsui Knowledge Industry (MKI)
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Solution Director | Director | IT | ||||
| Manager of the Research and Development Office | Manager | Finance |
Apps Being Evaluated by Mitsui Knowledge Industry (MKI) Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||