The Present and Future of AI-Based Automation

18 December 2024

IoT and RPA

Services

Analytics

Retail

Artificial intelligence (AI) has become a key trend in digitalization, transforming approaches to business. Andrey Golub, an independent expert in strategic planning and digital transformation of the fashion industry, a visiting professor at the Presidential Academy, examined the evolution of approaches to automation as part of the Global CIO Summer Academy program: from traditional robotic process automation (RPA) to micro-automation using artificial intelligence.

The main focus was on practical aspects: how to distribute roles between IT departments and digitalization groups, how to evaluate the effectiveness of projects, how to use modern tools like ChatGPT for rapid prototyping of solutions. According to the data provided, a significant portion of employees spend from 25% to 75% of their working time on routine tasks that can be automated, which makes issues of effective digitalization especially relevant.

Digitalization, automation and implementation of AI

Digitalization has changed significantly in recent years, moving from simple robotic process automation (RPA) to AI-driven micro-automation. IT departments have evolved: their focus has shifted from supporting infrastructure to ensuring cybersecurity, business continuity, risk management and recovery strategies. Modern platforms integrate automation, data analysis and decision making, increasing business agility to risks. Many processes, including data management and reporting, are already automated.

The evolution of digitalization and automation.

Automation of routine operations increases productivity and reduces costs. “Everything that can be automated should be automated,” says Andrey Golub. “However, without high-quality data, it is impossible to effectively apply AI and create models.” The main risks are employee resistance to change, dependence on technology and the critical importance of cybersecurity when using AI and big data.