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Aleksandr Toshchev · Speaker

Artificial intelligence in clear language, with real-world examples

Real-world deployments, failed assumptions and economics. How AI changes business, software development, management and education.

CTOAI architect ResearcherLecturer

I do not retell ChatGPT news or sell futurism. I explain what works in real companies, why AI pilots stall, and how to make decisions without technological euphoria.

Talks shaped around the audience

The subject and level of detail are adapted to the industry, audience and event format.

01

AI in business, without the magic

For executives, product teams and corporate learning programmes

  • How to choose the first AI use case
  • Why pilots do not become products
  • Data, infrastructure, people and economics

Outcome A practical map for evaluating an AI initiative before launch.

02

AI as a new layer of thinking

For leaders, lecturers and teams working with AI every day

  • External memory and prompt dependency
  • Cognitive hygiene
  • Closed worldviews and AI psychosis

Outcome Practices for using AI without losing critical thinking.

03

AI in commercial projects: from ambition to reality

For clients, architects and implementation teams

  • The path from idea to production
  • Integration, security and support
  • Customer and vendor mistakes

Outcome A realistic model of project stages, constraints and control points.

04

Computer Vision for business

For industrial, retail and operations teams

  • Video analytics and operational control
  • Self-checkout, anti-fraud and data quality
  • Hardware, operations and ROI

Outcome Where computer vision creates value — and where it becomes an expensive demo.

05

Software development in the AI era

For CTOs, architects and engineering teams

  • AI coding and autonomous agents
  • Testing automation and new workflows
  • Where humans must stay in control

Outcome A model of changing roles, processes and engineering control.

06

AI in education

For universities, schools and corporate learning

  • The new role of the lecturer
  • Assessment, assignments and AI labs
  • Cognitive safety

Outcome Principles for redesigning learning without bans or self-deception.

Engineering precision. Business context. Clear language.

01

Practical implementation

Data, infrastructure, security, support and economics — not only model capabilities.

02

Three perspectives

Business, engineering and research in one decision framework.

03

Adapted to the room

Content and technical depth change for executives, engineers, lecturers or students.

04

Action after the talk

The audience leaves with models, verification questions and concrete next steps.

From a 30-minute keynote to a two-day programme

English or Russian · online or in person · adapted to the industry

Keynote30–60 min
Talk60–90 min
Executive sessionFor leadership teams
Workshop4–8 hours
Programme1–2 days
Panel discussionOnline or in person

Selected talks

Lectures and discussions on AI for business, education and wider audiences.

Aleksandr Toshchev at the Tatar San 2026 Conference
26 June 2026Kazan · Main Stage

AI as a new layer of thinking

How work and education will change: AI agents, cognitive risks, and the new role of the lecturer.

Tatar San 2026 Conference
The Night Department event at School 21
17 April 2026School 21 / KFU

Where Are We—and Where Is AI?

A public lecture on the limits of AI and the human role in decision-making.

30 minutes · Lecture and panel discussion
Aleksandr Toshchev at KFU Summer University
6 July 2026KFU Summer University

AI in commercial projects: from ambition to reality

Challenges, achievements and implementation practices — from idea and pilot to production.

Software engineering · Data · AI · Digital products
Aleksandr Toshchev at the “AI in Plain Language” public lecture
8 February 2026National Library of the Republic of Tatarstan

AI in Plain Language

Neural networks, CNNs, Transformers and SNNs — an accessible explanation of how modern models work.

Public lecture · 60 minutes
2025

KFU Summer University and the public lecture “AI in Plain Language”.

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