AI Buyer Insights:

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

UN Global Working Group on Big Data Data, Technology Stack, and Enterprise Applications
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
DataRobot Legacy DataRobot Algorithmia ML and Data Science Platforms AI Development n/a 2019 2019
In 2019, UN Global Working Group on Big Data deployed DataRobot Algorithmia, selecting an ML and Data Science Platforms solution to enable rapid algorithm publication and consumption across the working group. UN Global Working Group on Big Data implemented DataRobot Algorithmia to support analytics, model deployment, and algorithm exchange as core business functions for the group’s Big Data research and operational analytics activities. The implementation leveraged DataRobot Algorithmia off the shelf capabilities for publishing and consuming algorithms, combining managed model hosting with API based serving to minimize platform operations. Configuration focused on algorithm packaging, endpoint provisioning, and access controls, while the vendor roadmap aligned with GWG aims to expand model catalog and reuse without heavy custom development. Governance and workflow changes emphasized algorithm lifecycle management and streamlined publication workflows so analysts could publish models and other stakeholders could consume algorithms without extensive DevOps investment. The deployment therefore concentrated on embedding DataRobot Algorithmia into the GWG’s analytics processes, providing a managed runtime and cataloging capability that matched the group’s stated technical and operational requirements.
IT Decision Makers and Key Stakeholders at UN Global Working Group on Big Data
First Name Last Name Title Function Department Email Phone
No data found
Apps Being Evaluated by UN Global Working Group on Big Data Executives
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD UN Global Working Group on Big Data Technographics

UN Global Working Group on Big Data is a Professional Services organization based in United States, with around 198 employees and annual revenues of $49.0 million.

UN Global Working Group on Big Data operates a diverse technology stack with applications such as DataRobot Algorithmia, covering areas like ML and Data Science Platforms.

UN Global Working Group on Big Data has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as DataRobot.

UN Global Working Group on Big Data recently adopted applications including DataRobot Algorithmia in 2019, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of UN Global Working Group on Big Data’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates UN Global Working Group on Big Data’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 UN Global Working Group on Big Data technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.