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● JLG Industries, an Oracle JD Edwards EnterpriseOne customer evaluated Oracle Cloud ERP

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● Ahold Delhaize USA, an Oracle Retail Merchandising customer evaluated SAP Retail Management

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● First Citizens Bank, a Fiserv Signature Bank Platform customer evaluated FIS Core Banking

● Synovus Bank, a Q2 Digital Banking customer evaluated Apiture Digital Banking

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● MECCA Australia, a Microsoft Dynamics NAV customer evaluated SAP S/4HANA

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● First Horizon Bank, an nCino Loan Origination customer evaluated FIS Commercial Loan Servicing

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● Zurich Insurance Group, a Guidewire ClaimCenter customer evaluated Duck Creek Claims

● California Polytechnic State University, an Oracle PeopleSoft ERP customer evaluated Oracle Cloud ERP

● Fluke Corporation, an Oracle E-Business Suite customer evaluated SAP S/4 HANA

● Harvard University, an Oracle PeopleSoft HCM customer evaluated Oracle Cloud HCM

● Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

● Michelin, an e2open customer evaluated Oracle Transportation Management

● Ivy Tech Community College, a RNL ScaleFunder customer evaluated Virtuous CRM

● Pacific Coast Producers, an Oracle JD Edwards EnterpriseOne customer evaluated SAP S/4HANA Cloud

● City of Richmond, VA, an Oracle E-Business Suite customer evaluated Tyler Munis ERP

● Department Of Homeland Security, an Oracle E-Business Suite customer evaluated SAP S/4HANA Cloud

● Hong Kong Polytechnic University (PolyU) , an Oracle E-Business Suite customer evaluated SAP S/4 HANA

Harward Medical School
Location
25 Shattuck Street,
Boston, 02115, MA,
United States
Website
https://www.hms.harvard.edu/
Phone
1 617-432-1000
Artw industry
Education
Employee
Revenue

Harward Medical School Technographics

Harward Medical School Software Purchases and Digital Transformation Initiatives

Discover the latest software purchases and digital transformation initiatives being undertaken by Harward Medical School and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 12000 Harward Medical School employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.

During our research, we have identified that Harward Medical School has purchased the following applications: Accruent EMS for Facility Management in 2020, LightlyTrain for AI Frameworks and Libraries in 2023, IBM Netezza Data Warehouse for Data Warehouse in 2011 and the related IT decision-makers and key stakeholders.

Our database provides customer insight and contextual information on which enterprise applications and software systems Harward Medical School is running and its propensity to invest more and deepen its relationship with Accruent , Lightly , IBM 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 Harward Medical School revenues, which have grown to $856.0 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 Harward Medical School 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.

Harward Medical School Data, Technology Stack, and Enterprise Applications
ERP Services and Operations
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Accruent Legacy Accruent EMS Facility Management ERP Services and Operations n/a 2020 2020
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Lightly Legacy LightlyTrain AI Frameworks and Libraries AI Development n/a 2023 2023
In 2023 Harvard Medical School implemented LightlyTrain within its AI Frameworks and Libraries stack to support self-supervised pretraining and distillation workflows for medical imaging research. Researchers at the Boston lab used LightlySSL and DINOv2 workflows to build a 3D CT foundation model for segmentation, improving representation quality and creating a reproducible training pipeline that underpins multiple downstream research projects. The implementation centered on self-supervised representation learning and pretraining, leveraging LightlyTrain capabilities for pretraining and distillation alongside LightlySSL and DINOv2 model workflows. Configurations emphasized reproducible pipeline construction, experiment tracking, and evaluation loops tailored for volumetric CT segmentation tasks, with standard functional components such as data augmentation, representation extraction, checkpointing, and validation routines to support iterative model development. Operational scope remained within research groups at Harvard Medical School in Boston, where the training pipeline is reused across multiple projects to accelerate segmentation model development. Governance practices focused on pipeline reproducibility and model version control to support collaborative research and experiment reuse, and the work explicitly improved representation quality while establishing a repeatable foundation model workflow for downstream imaging studies.
Analytics and BI
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
IBM Legacy IBM Netezza Data Warehouse Data Warehouse Analytics and BI n/a 2011 2012
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Performance Management ITSM 2022 2022
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Data Warehouse Appliance IaaS 2011 2012
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Identity and Access Management (IAM) CyberSecurity 2022 2022
IT Decision Makers and Key Stakeholders at Harward Medical School
First Name Last Name Title Function Department Email Phone
No data found
Show All Contacts
Apps Being Evaluated by Harward Medical School Executives
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD Harward Medical School Technographics

Harward Medical School is a Education organization based in United States, with around 12000 employees and annual revenues of $856.0 million.

Harward Medical School operates a diverse technology stack with applications such as Accruent EMS, LightlyTrain and IBM Netezza Data Warehouse, covering areas like Facility Management, AI Frameworks and Libraries and Data Warehouse.

Harward Medical School has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Accruent, Lightly and IBM.

Harward Medical School recently adopted applications including LightlyTrain in 2023, New Relic APM in 2022 and Okta Identity Cloud in 2022, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Harward Medical School’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Harward Medical School’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete Harward Medical School technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.