AI Alliance has announced its intentions to focus on the development of standardization processes and the evaluation of ML models’ effectiveness

At the AI Journey international conference, Alexander Vedyakhin, First Deputy Chairman of the Management Board of Sberbank, announced the Alliance’s plans to launch a new initiative focusing on standardizing and evaluating the effectiveness of machine learning (ML) models. The aim is to create a comprehensive library of reference metrics and benchmarks for ML models by centralizing and systematizing datasets. This endeavor will facilitate the integration of AI technologies and enable companies to predict the outcomes of ML solutions more objectively, fostering accelerated technology development aligned with the National Strategy for the Development of Artificial Intelligence and contributing to the growth of the Russian economy.

Alexander Vedyakhin, First Deputy Chairman of the Management Board of Sberbank: “As the flagship of digital transformation and the driving force behind AI solutions nationwide, the Alliance aims to systematize the accumulated experience of its members. We will establish a unified system of benchmarks and metrics to evaluate industry-specific ML models, whether they are already in place or under development. This will enable companies to create their own AI solutions and compare them to existing models, continuously enhancing their value and efficiency in applying AI/ML to core workflows. The Alliance is dedicated to taking AI-related processes to a whole new level, ensuring technological leadership in Russia and the global technology market”.

The Artificial Intelligence Alliance brings together leading technology companies – Sber, Gazprom Neft, Yandex, VK, MTS and RDIF – to jointly develop their competences and accelerate the implementation of AI in education, scientific research and business practices. The Alliance’s mission is to be the centre of AI development in Russia and provide technological leadership for our country and the Alliance companies in the global technology market.