An Open Data Datathon was held in Riyadh, sponsored by the Saudi Data and Artificial Intelligence Authority (SDAIA).
Both Traffix AI and Team 2030, the contest winners, underwent training programs in the US and the UK, respectively.
The training courses concentrated on improving participants' comprehension of artificial intelligence and data, as well as on building abilities for profitable business ventures.
"Riyadh, August 11, 2024." The Open Data Datathon event, which the Saudi Data and Artificial Intelligence Authority (SDAIA) recently sponsored in Riyadh, has concluded its two training sessions in the United States and the United Kingdom for the victors. These sessions were attended by the Saudi contestants who secured the first and second place, respectively.
Participants in this program will receive advanced skills from some of the world's most famous universities, which will improve their comprehension of data and artificial intelligence.
As part of the Open Data Datathon, the winner team, Traffix AI, took part in Draper University's Hero Training Program in the United States. This program was hosted in the United States. We gave the team training so they could acquire the critical abilities and creative ideas needed to produce profitable business ventures. Their engagement in the project was prompted by their award-winning research, which uses data like photographs and damage location to attempt to anticipate automobile accident damages and mistake rates. This research contributes to the assessment of liability in traffic accidents and the alleviation of traffic congestion.
Team 2030, which placed second, participated in the Data Science for Competitive Advantage program presented by the London Business School in the United Kingdom. The group determined the obstacles they must overcome and developed cutting-edge data science techniques to address them while also investigating chances to improve and progress their data and AI projects. Their winning idea involved creating a system that analyzes inconsequential cues like eye closure to spot early signs of weariness using a collection of drivers' photos. This technology protects not only the driver's safety but also the safety of other drivers on the road by responding swiftly to drowsy driving and having the capacity to alert emergency services promptly.
