Cambridge, 02139, MA,
United States
MIT Department of Electrical Engineering and Computer Science Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by MIT Department of Electrical Engineering and Computer Science and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 130 MIT Department of Electrical Engineering and Computer Science employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that MIT Department of Electrical Engineering and Computer Science has purchased the following applications: OpenAI Codex for AI Frameworks and Libraries in 2021, Google Tag Manager for Tag Management in 2023, JavaScript for Apps Development in 2023 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems MIT Department of Electrical Engineering and Computer Science is running and its propensity to invest more and deepen its relationship with OpenAI , Google , Oracle 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 MIT Department of Electrical Engineering and Computer Science revenues, which have grown to $10.0 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 MIT Department of Electrical Engineering and Computer Science 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 |
|---|---|---|---|---|---|---|---|---|
| OpenAI | Legacy | OpenAI Codex | AI Frameworks and Libraries | AI Development | n/a | 2021 | 2021 |
In 2021, the MIT Department of Electrical Engineering and Computer Science implemented OpenAI Codex as an applied research tool within the AI Frameworks and Libraries category to automate program synthesis for university STEM problems. MIT Department of Electrical Engineering and Computer Science deployed OpenAI Codex to support academic research workflows and to generate executable Python solutions for coursework and study sets.
The implementation emphasized program synthesis and few-shot learning capabilities of OpenAI Codex, using prompt engineering to produce Python code that solves mathematical and programming problems. Functional workstreams included automatic code generation, zero-shot and few-shot evaluation, and creation of labeled problem sets, with the research team validating correctness of generated programs against problem specifications.
Operational coverage was concentrated within an undergraduate research engagement in Cambridge, MA from September 2021 to January 2022, where a researcher curated datasets of course problems and instrumented an evaluation pipeline to assess code outputs. The deployment targeted academic research and coursework problem solving, combining dataset curation, automated code execution, and human verification to determine solution accuracy.
Governance and process work focused on standardized dataset creation and program evaluation protocols to measure model performance, rather than production IT governance. Outcomes reported by the researcher include measured accuracy rates of 70% zero-shot and 80% few-shot across evaluated problems, and subsequent coauthorship on a PNAS publication in August 2022 that documented the program synthesis results.
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Tag Manager | Tag Management | CRM | n/a | 2023 | 2023 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | JavaScript | Apps Development | PaaS | n/a | 2023 | 2023 |
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