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Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

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

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

SciSports Data, Technology Stack, and Enterprise Applications
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
SAS Institute Legacy SAS Visual Data Mining and Machine Learning ML and Data Science Platforms AI Development n/a 2017 2018
In 2017, SciSports deployed SAS Visual Data Mining and Machine Learning to operationalize BallJames, its 3D player tracking and rendering pipeline. SciSports used SAS Visual Data Mining and Machine Learning as an ML and Data Science Platforms application to drive deep learning based image recognition and 3D production workflows for sports analytics. The implementation centered on model lifecycle capabilities, including in memory training of convolutional neural networks and production inferencing for object classification that distinguishes players, referees and the ball. Functional modules implemented included deep learning model training, model scoring and management, and image recognition pipelines tailored to sequential camera feeds. SAS Event Stream Processing was used to enable real time image recognition, and models were trained in memory on SAS Viya with the flexibility to train in the cloud, on cameras or where compute resources existed. The architecture supported pushing trained models onto cameras for edge inferencing while retaining a uniform platform for cloud based training and centralized model management, preserving both streaming ingestion and low latency scoring. Operational governance consolidated model orchestration and the 3D production chain under a single platform to standardize deployment and monitoring. Program stakeholders characterized the ability to deploy deep learning models in memory onto cameras and perform inferencing in real time as cutting edge science, and stated that without SAS Viya, this project would not be possible.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google Legacy Google Workspace (Formerly Google G-Suite) Collaboration Collaboration n/a 2015 2015
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
HubSpot Legacy Hubspot CRM CRM CRM n/a 2021 2021
Marketing Automation CRM 2019 2019
Marketing Automation CRM 2021 2021
Sales Automation, CRM, Sales Engagement CRM 2021 2021
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2021 2021
Application Hosting and Computing Services IaaS 2017 2017
Application Hosting and Computing Services IaaS 2021 2021
Content Delivery Network IaaS 2015 2015
IT Decision Makers and Key Stakeholders at SciSports
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by SciSports Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD SciSports Technographics

SciSports is a Leisure and Hospitality organization based in Netherlands, with around 41 employees and annual revenues of $4.0 million.

SciSports operates a diverse technology stack with applications such as SAS Visual Data Mining and Machine Learning, Google Workspace (Formerly Google G-Suite) and Hubspot CRM, covering areas like ML and Data Science Platforms, Collaboration and CRM.

SciSports has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as SAS Institute, Google and HubSpot.

SciSports recently adopted applications including Hubspot CRM in 2021, Hubspot Marketing Automation in 2021 and Salesforce Sales Cloud in 2021, highlighting its ongoing modernization strategy.

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

Our research team continuously updates SciSports’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 SciSports technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.