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TAdviser Conference "ARTIFICIAL INTELLIGENCE DAY 2026" April 8

04.03.26, 10:35, Msk

On April 8, theconference "ARTIFICIAL INTELLIGENCE DAY 2026"

Content

TAdviser's "Artificial Intelligence Day 2026" conference will bring together industry leaders who inject AI into corporate processes. This year's focus is on the maturity of Russian AI platforms, integration with business analytics and the creation of new models of human-machine interaction

Detailed information and registrationon the site

Speakers

  • Sergey Chervyakov, Director of Digital Transformation and Artificial Intelligence, Туризм.РФ Corporation
  • Andrey Sabynin, Chief information officer CIO (), Novakard (NovaCard)
  • Alexander Zinoviev, CIO, Sberbank-Service
  • Maxim Agapov, Director of IT and Digital Transformation, TPH RusClimat
  • Alexander Grisenko, Chief information officer, Ecolibri
  • Alexander Pavlov, Chief Managing Partner for the Development of Artificial Intelligence, ВЭБ.РФ
  • Andrei Yershov, Head of the Center for Predictive Analysis and AI, USC
  • Elena Zhegulina, Head of BI&ML, Tom Tailor
  • Alexey Sazonov, Head of Big Data, Galamart
  • Alexander Didenko, Head of the AI Laboratory of the Center for Communications and Digital Solutions, LSA Skolkovo
  • Yaroslav Cherny, Technical Architect, Arnest Unirus
  • Alexander Bochkin, Founder and CEO, Infomaximum
  • Alexander Shpilkin, Director for AI Products for Business, Sber Bizznes Soft
  • Diana Tusova, Lead Sales Manager, Cloud4Y

Main topics of the event

Trends and directions of AI development

  • What trends in AI will be relevant in 2027?
  • What areas of AI will become key in 2027?
  • Which professions will change because of AI?
  • What are the new business models thanks to AI?

Application of AI in various industries and spheres

  • What cases of using AI in various areas should you pay attention to?
  • Which industries are leading the way in AI adoption?
  • What routine tasks are already fully automated with AI in advanced companies?

How to measure the effectiveness of AI implementation

  • In what processes does AI give the most financial return?
  • What metrics show the effectiveness of AI projects?
  • How to evaluate ROI from AI initiatives?

How AI helps businesses

  • What AI technologies have become must-have for business?
  • How does AI help in predictive analytics?
  • What are the prospects for multimodal models (text, image, sound) in business?

Domestic alternatives to foreign AI solutions

  • What Russian AI solutions effectively replace foreign analogues?
  • What Russian frameworks and libraries AIML for/are gaining popularity?
  • Which Russian clouds are suitable for deploying AI?
  • How to integrate AI with Russian IT systems?
  • What new startups are developing on the basis of Russian LLMs?

Features of AI application

  • How do I use AI for natural language processing (NLP)?
  • How do I implement the MLOps strategy for model lifecycle management?
  • Which low-code platforms support AI?
  • How to provide Explainable AI (XAI) solutions based on neural networks?

Formation of competencies for working with AI

  • How to form competence centers for AI?
  • How to train employees to work with AI tools?
  • How to evaluate data quality for model training?
  • How to protect enterprise data when using cloud AI services?

How to correctly introduce AI into a client service

  • How does AI affect client service?
  • How do you avoid disappointing customers when implementing AI assistants?
  • How to use AI to personalize offers without violating privacy?

Legal and ethical challenges to AI applications

  • How does the state regulate the use of AI?
  • What are the legal risks of using AI?
  • What ethical dilemmas arise when using AI?
  • What are the limitations of modern AI models?


More informationon the link

For registration, presentation or sponsorship, please contact es@conferos.ru