Technical conference on AI, ML and data analytics

Overview

TThe event is a large technical conference focused on artificial intelligence, machine learning and data analytics. It gathers analytics professionals, ML/DS engineers, product managers and CPOs from ecommerce, banking, telecom, retail, and related sectors. The conference emphasizes practical application of AI in business, product development, experimentation and data-driven decision making. The program spans multiple tracks and formats, combining talks, panel discussions and expert sessions to share concrete experience in product science, A/B testing, behavioral economics and business efficiency.

Location and format

The page describes a hybrid program with online participation (14 May) and an in-person cluster at Lomonsov (22 May) in Moscow. The venue appears to be associated with Moscow institutions in the vicinity of the university campus. The event features an online streaming option, professional recording and post-event materials. The site highlights easy access to the program, ticketing and partnering opportunities, along with a strong emphasis on networking and peer learning.

Agenda and tracks

The conference presents more than 50 talks, panel discussions and expert sessions, organized into tracks such as Analytics, ML/AI Development, and Product Management. The agenda includes case studies, debates and guided sessions on ML implementation, ML-driven pricing, recommender systems, and the economics of scaling AI in production. There are dedicated sessions for system design, data engineering, MLOps, and open source AI agents for analytics, all aimed at practitioners who want to translate theory into measurable business impact.

Speakers and sessions

Key speakers include leaders from major tech and retail organizations. Notable listed speakers cover a range of roles such as Heads of Analytics, ML researchers, and product leaders. Examples of speakers include Alena Soldatenko (Head of analytics at BIGDATA MTs Digital), Andrey Nartsev (Head of R&D, Yandex Delivery), Maria Tikhonova (Head of ML/LLM in SBERR), Nikolai Savushkin (Head of Recommendation Technologies at Yandex), Dasha Ledneva (Head of Speed Group), and other ML and product analytics professionals. The program includes talks on ML adoption in pricing, evaluation of modern LLMs and multimodal models, the future of recommender systems, and practical lessons from corporate analytics.

Format and audience

The event targets analytics professionals, ML/DS engineers, product managers and senior leaders who want to learn practical techniques for building AI-powered products, running experiments and improving efficiency. The program emphasizes knowledge sharing, real-world case studies and networking opportunities, with timed sessions and a mix of presentations, debates and round tables.

FAQs

The page provides program details, ticket options and contact avenues for sponsorships and partnerships. It also notes licensing, consent for photography and video, and standard conference policies. Attendees can expect a blend of in-person and online experiences, with a focus on actionable insights and community building for ML and analytics professionals.

Who should attend

Analysts, data scientists, ML engineers, product managers, and CPOs who are shaping data-driven digital services will find value in the conference tracks and case studies. The event is designed for those who want to stay current with ML trends, learn practical implementation strategies, and network with peers across industries.