Artificial Intelligence for Business
We empower businesses and professionals to save time and make more money through the use of artificial intelligence.
develop of AI-startegy
We have worked with
Our team is made up of experienced leaders in the AI industry:
We tackle business challenges with AI
AI Dev
we develop special AI solutions
We integrate artificial intelligence into your business processes, helping you save time and earn more .
We optimize business processes in marketing, sales, support, finance, security, and other areas.
We optimize business processes in marketing, sales, support, finance, security, and other areas.
AI Strategy
AI Edu
we teach teams and specialists the skills to work with AI
We don’t want AI to replace people, so we train them to work with neural networks.
We educate HR professionals, copywriters, social media managers, assistants, and marketers to perform their tasks faster and more effectively with artificial intelligence.
We educate HR professionals, copywriters, social media managers, assistants, and marketers to perform their tasks faster and more effectively with artificial intelligence.
We develop strategies for introducing artificial intelligence into company processes
Where can AI help optimize processes?
AI Dev
we implement AI into business processes using AI technologies
We’ve integrated artificial intelligence into the operations of 30 companies, saving hundreds of hours.
We don't want AI to replace humanity, so we teach employees to work with neural networks in advance.
AI Education
We provide corporate training for entire departments or personally for you.
HR Professionals
Copywriters
Assistants
Marketers
SMM Managers
Designers
We assist in saving up to 20 hours per week
McKinsey has published a report on AI, which states:
• By 2030, approximately 12 million people will change their professions.
• Some jobs may be at risk, but AI won't completely eliminate them.
• AI will change how certain tasks are performed or create opportunities for workers to transition to higher-paying positions.
• By 2030, approximately 12 million people will change their professions.
• Some jobs may be at risk, but AI won't completely eliminate them.
• AI will change how certain tasks are performed or create opportunities for workers to transition to higher-paying positions.
McKinsey has published a report on AI, which states:
• By 2030, approximately 12 million people will change their professions.
• Some jobs may be at risk, but AI won't completely eliminate them.
• AI will change how certain tasks are performed or create opportunities for workers to transition to higher-paying positions.
• By 2030, approximately 12 million people will change their professions.
• Some jobs may be at risk, but AI won't completely eliminate them.
• AI will change how certain tasks are performed or create opportunities for workers to transition to higher-paying positions.
Speakers
We promote AI, speaking at conferences, courses, and universities.
participants there were at our performances
700+
То а non-technical audience. We will focus on trends, provide examples and practical training
CEO of Artificial Intelligence Studio
Daria Fokina
・Speaker and moderator of discussions on AI for business
・Author of articles in the media and telegram channels on the topic of AI for business
・Lecturer of AI for Business at Product University, HSE, Netology
・Ex Chairwoman Unilever Millennials Board
・Winner of the Russian Business Leaders
・Graduate of the Higher School of Economics, Moscow State University Skolkovo
・Author of articles in the media and telegram channels on the topic of AI for business
・Lecturer of AI for Business at Product University, HSE, Netology
・Ex Chairwoman Unilever Millennials Board
・Winner of the Russian Business Leaders
・Graduate of the Higher School of Economics, Moscow State University Skolkovo
Dmitry Tverdokhlebov
・ Product Director of the Artificial Intelligence business unit VK (AI/voice assistants/smart devices)
・ Current tracker and mentor of the Moscow School of Management Skolkovo and the Internet Initiatives Development Fund
・ Lecturer at the Higher School of Economics
・ Current tracker and mentor of the Moscow School of Management Skolkovo and the Internet Initiatives Development Fund
・ Lecturer at the Higher School of Economics
Alexander Zhadan
・ Head of the TenChat Neural Network Project
・ Co-author of the course «Neural networks: a practical course» for Skillbox
・ Made two loud cases in Russia with AI: wrote a diploma and chose a bride using ChatGPT
・ Conducted more than 100 consultations and presentations on the use of neural networks
・ Co-author of the course «Neural networks: a practical course» for Skillbox
・ Made two loud cases in Russia with AI: wrote a diploma and chose a bride using ChatGPT
・ Conducted more than 100 consultations and presentations on the use of neural networks
To a technically advanced audience (ML, Data Science, developers and analysts)
Alexander Sarachakov
• Lecturer at Sber.University. Course "Bayesian methods of machine learning" and "Computer vision" 4 years under the guidance of Alexey Zaitsev
• Former teacher at MIPT and Saint-Petersburg Computer Science school. Course "Data Analysis"
• Team leader in the deep and machine learning team at BostonGene, 4.5 years
• Ex-quant at WorldQuant hedge fund. For 4 years he used deep and machine learning to predict the stock market
• Created and sold a Skolkovo resident startup based on computer vision
• PhD in computational biology, scientific director M.S. Gelfand
• Former teacher at MIPT and Saint-Petersburg Computer Science school. Course "Data Analysis"
• Team leader in the deep and machine learning team at BostonGene, 4.5 years
• Ex-quant at WorldQuant hedge fund. For 4 years he used deep and machine learning to predict the stock market
• Created and sold a Skolkovo resident startup based on computer vision
• PhD in computational biology, scientific director M.S. Gelfand
Anatoly Bardukov
・ Author of the program, academic supervisor of the Yandex Prakticum Data Engineer Course
・Lecturer at the National Research University HSE, Department of Data Analysis and Artificial Intelligence
・ Courses: Big data essentials, Large scale machine learning, Media compression and transmission methods
・ Speaker, lecturer, seminarian of the Data Engineer Course at Sber University
・Lecturer at the National Research University HSE, Department of Data Analysis and Artificial Intelligence
・ Courses: Big data essentials, Large scale machine learning, Media compression and transmission methods
・ Speaker, lecturer, seminarian of the Data Engineer Course at Sber University
We have already given a speech this year
Publications
Digital perspectives in the fight against deepfakes. Daria Fokina's comment on the development of a program for detecting deepfakes
The neural science of law: how lawyers use artificial intelligence. Comment by Senior Associate of the Artificial Intelligence Studio Valeria Timofeeva
