IT Company T1 Launches New IT Agents Designed for Big Data Management in Marketplace
In the rapidly evolving digital landscape, AI data agents are making a significant impact on businesses, particularly in Russia. According to reports, the Russian big data market reached a staggering 300 billion rubles in 2024, growing at an average annual rate of 30%.
These AI agents are revolutionising the way businesses handle data, simplifying complex processes and freeing up budget for growth. For instance, to create a new data dashboard, all that's needed are business requirements. The AI takes care of the rest, building the model, writing logic, preparing code, and storing the solution in the company's knowledge base.
The benefits of AI-agent implementation are most evident in Business Intelligence (BI) analytics. These agents provide accurate answers through visual reports and dashboards, responding to simple verbal requests. They can also automate individual functions and minimise manual labour in companies of any profile.
One of the key advantages of AI data agents is their ability to handle large volumes of data. When data volume reaches tens of millions of records or updates too frequently, manual processing becomes impossible and error probability increases exponentially. AI agents, on the other hand, can process this data efficiently, reducing the risk of errors.
Moreover, AI agents can help companies overcome the shortage of qualified specialists in the IT industry. The IT industry is facing a labor shortage of between 500,000 to 700,000 people, with some expert estimates putting the gap between vacancies and job seekers at 1 million specialists. AI agents do not require special programming skills; a company employee formulates the task, and the agent independently analyzes data, connects necessary information sources, and finds the optimal solution.
The use of these AI agents can result in significant savings. For a team of 20 IT specialists, the use of AI agents can save up to 10 million rubles per year. They can also help companies overcome financial difficulties due to poor quality data. In fact, 72% of enterprises have experienced such difficulties, often due to the lack of end-to-end analytics and inconsistent figures in different departments, insufficient data collection volume, data unavailability due to technical reasons, and lack of transparency in metric formation.
AI data agents can also be used for data quality control, increasing the reliability of reporting and trust in data. They can automatically organise data in the warehouse, segment information, and convert text queries into SQL commands. Furthermore, they can easily handle different types of requests and quickly find errors regardless of the database language used.
In Russia, companies like Data-Centric and Tech holding T1 have developed AI agents designed for working with data warehouses and business intelligence tools. Sergey Golitsyn, head of AI direction T1 (part of IT holding T1), has emphasised the value of these AI data agents in streamlining complex processes and driving business growth.
In conclusion, AI data agents are not just a new technological product but a strategic tool that simplifies complex processes, frees up budget, and helps companies focus on growth rather than technical limitations. As businesses continue to evolve, the use of AI data agents is expected to become more widespread, driving scalable digital transformation and business growth.
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