Ready-made challenges
Track 1
Pick one of our ‘ready-made’ challenges, where the challenge, data sets and data providers are all pre-defined by us, ready for you to solve.
Credit Card Fraud Detection
Data Provider: YapiKredi Teknoloji
Forecasting fraud transactions of credit card users of YKB with machine learning technics instead of traditional rule-based systems. Credit card fraud means a transaction that is not intentionally performed by the card holder.
Optimization of the Assistance Resources Location Allocation
Data Provider: RACC
RACC wants to develop a solution that identifies the optimal resources location allocation in the different services zones to minimize the response time of the assistants.
Pattern Recognition Campaign Performance Indicators
Data Provider: JOT Internet Media
The aim is to identify behaviour patterns in digital campaigns through the analysis of the main performance indicators, like clicks, impressions, Click Through Rate (CTR) and their relationship with categories from Google.
Prediction of Game’s Success
Data Provider: IGT
To develop a model based upon historical data that may help in predicting the success of a game in advance thereby reducing certain level of uncertainty.
Patterns and Anomaly Identification And Detection Of At-Risk Players
Data Provider: IGT
To develop a scalable algorithm for identifying patterns and anomalies, which could be then used to build a predictive model to detect problem behavior in real-time.
Keyword Categorization
Data Provider: JOT Internet Media
Based on JOT’s data basis, it is required the massive classification of keyword lists. Due to the analytic approach and worldwide coverage, JOT’s keyword lists include millions of keywords, covering up to 17 different languages.
Forecast for The Quality Of The Ingredients in the Feed Production
Data Provider: Grupo AN
The challenge is to improve the prediction of the ingredients that will be received for the production of animal feed.
For the production of animal feed, formulations are made at the beginning of each month.
Automatic Chaptering of Video Content
Data Provider: VRT
Making content easily retrievable, both for the media user and for our editing teams. In this context, chaptering of news bulletins is often performed related to which topic was discussed. Thus, editing teams can easily retrieve parts of interest.
Use of Machine-Learning Algorithms in improving control of cardiovascular risk factors
Data Provider: IBERMUTUA
Accurate predictive model that will help them to identify those people with a higher risk of not improving their risk factors and therefore be able to incorporate greater specific actions aimed at increasing control of cardiovascular risk factors.
Long Distance Race Endurance, Long Throws and Long Jump Performance Predictions
Data Provider: World Athletics
There is unprecedented wealth of data now collected and AI is an opportunity to identify patterns of performance and come up with near real time performance analysis as well as predictions based on context and past data.
Mobility As a Service: Simulation of a Distributed Agent-Based On-Demand Public Bus Fleet
Data Provider: EMTV
Starting from real and open data, the goal is to generate a simulation to assess how would perform a distributed agent-based public bus fleet. This simulation will be a first step on mobility as a service public bus transformation.
Model Anomaly Detection
Data Provider: UBIMET
Establish a demand management system and analysis of the evolution of consumption in its different uses to speed up the detection of deviations and hasten and focus decision making.
Automate Customer Service Workflows and Drive Efficiency with Artificial Intelligence
Data Provider: SONAE
Establish a demand management system and analysis of the evolution of consumption in its different uses to speed up the detection of deviations and hasten and focus decision making.
Analysis and Improvement of the Energetic Efficiency Through the Overall Consumption of a Productive Asset
Data Provider: Natra Cacao
Establish a demand management system and analysis of the evolution of consumption in its different uses to speed up the detection of deviations and hasten and focus decision making.
Athletics Data Commentator Bot
Data Provider: WorldAthletics
Establish a demand management system and analysis of the evolution of consumption in its different uses to speed up the detection of deviations and hasten and focus decision making.
Electric Cars Charging Points Optimal Location
Data Provider: EDP-Spain
Establish a demand management system and analysis of the evolution of consumption in its different uses to speed up the detection of deviations and hasten and focus decision making.
Category and Store-Based Sales Forecasting
Data Provider: MIGROS
Predicting categorical sales in different stores accurately brings advantages in terms of operational efficiency and tracking the performances of stores or operational processes.
AI/ML Predicting the Future of Pharma Market
Data Provider: hmR
The goal is to reformulate hmR offer to the market by building a predictability model for drug use based on AI or ML.
Decision Support System for Water Tariffs
Data Provider: EMASESA
Design a system, based on the experience of EMASESA, that allows water companies to be advised which rate system to implement, seeking total recovery of costs and social equity.
Facial and Gender Recognition on Video Content
Data Provider: VRT
Making content easily retrievable, both for the media user and for our editing teams: automatic metadata generation concerning the experts and interviewees that are part of our daily news bulletin as well as how long they were present on screen.
XML Publish Request Messages Real Time Monitoring Tool
Data Provider: ENERGA
The aim is to create an XML publish request messages monitoring tool, which enables DSO to perform and report in real time metering data transfer between DSO Metering Data Base (MDB) and Customer Care and Billing System (CC&B).
