San Francisco, 94107, CA,
United States
IDenTV Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by IDenTV and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 25 IDenTV employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that IDenTV has purchased the following applications: Oracle Data Science Cloud for ML and Data Science Platforms in 2019, Google Workspace (Formerly Google G-Suite) for Collaboration in 2015, Zendesk Service for Customer Support in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems IDenTV is running and its propensity to invest more and deepen its relationship with Oracle , Google , Zendesk 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 IDenTV revenues, which have grown to $3.0 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 IDenTV 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 Data Science Cloud | ML and Data Science Platforms | AI Development | n/a | 2019 | 2019 |
In 2019, IDenTV implemented Oracle Data Science Cloud to operationalize its computer vision, automated speech recognition and textual semantic classifier workloads. The deployment positioned Oracle Data Science Cloud as the core ML and Data Science Platforms capability supporting IDenTV's data science teams and video analytics product development.
The implementation embedded Jupyter notebooks and open source frameworks including TensorFlow and Keras, enabling interactive experimentation, model training, and pipeline orchestration within the hosted environment. Configuration prioritized scalable model training and streamlined model deployment capabilities so experimentation could move to production with reduced operational friction.
The environment delivered unified data access across locations so data scientists could access data without managing underlying data location and access mechanisms, supporting day to day operations for the companys data science teams. Company leadership reported faster results and tremendous cost savings as a result of using Oracle Data Science Cloud, enabling IDenTV to scale its ML and Data Science Platforms efforts more rapidly.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2015 | 2015 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Zendesk | Legacy | Zendesk Service | Customer Support | CRM | n/a | 2016 | 2016 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
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|
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IT Service Management | ITSM |
|
2019 | 2019 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2015 | 2015 |
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Application Hosting and Computing Services | IaaS |
|
2021 | 2021 |
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Content Delivery Network | IaaS |
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2016 | 2016 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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