MTS Web Services is currently working on creating an artificial intelligence entity
MTS Web Services Unveils Autonomous AI Agent for Business Efficiency
In a groundbreaking move, MTS Web Services (MWS) has developed an AI-powered tool called the MWS Agent, designed to revolutionize workflows by automating repetitive and complex tasks. The MWS Agent, currently in use in Petroпавловsk-Kamchatsky, Kamchatka Krai, is expected to significantly improve operational efficiency, reduce human workload, and generate substantial revenue.
Andrei Rybinets, AI Director of Avito, has announced that their generative AI integration strategy is aimed at generating over 21 billion rubles in revenue by investing around 12 billion rubles in generative AI technologies by 2028. This ambitious plan underscores the potential of AI agents in various sectors, including IT, agriculture, mining, transportation and logistics, with growing interest in retail and oil refining.
The MWS Agent is a versatile system capable of performing a wide range of tasks, such as financial analysis, travel planning, and web research, without human intervention. It can analyze large volumes of data and make decisions based on current data, setting it apart from Language Model (LLM) systems. Unlike LLM models, MWS Agents can understand the context of a task and take actions in the interface.
Pavel Voronin, General Director of MTS Web Services, has emphasized that AI agents are a source of sustainable growth for companies, helping to optimize costs, increase revenue, and ease the workload for employees. The modular approach of MWS Agent ensures high accuracy of solutions and scalability for implementation in different business scenarios.
The MWS Agent is currently being tested for a wide range of tasks, including data analysis and visualization, website and web application development, working with patent databases, and solving administrative issues like organizing business trips. Its expected capabilities include providing personalized interaction for users, adapting and adjusting its behavior as needed, and offering scalable and intelligent customer engagement.
After the successful internal pilot, MTS Web Services plans to customize the solution for external clients. The MWS GPT acts as the LLM orchestrator, receiving natural language requests, analyzing them, breaking down the execution into separate steps, and distributing them among specialized agents for specific tasks. MWS Agent is an architectural approach where the optimal model can be connected to each function.
The impact of AI agents like MWS Agent extends beyond automating routine tasks. They enable augmented human roles, focusing on high-touch, complex tasks, improving overall service quality. In data science platforms, AI agents accelerate decision-making and predictive capabilities by automating data wrangling, model building, and deployment.
In conclusion, the MWS Agent exemplifies how AI agents in business environments act as catalysts for digital transformation. By reducing manual burdens, accelerating workflows, and improving customer and operational outcomes through intelligent automation and contextual understanding, AI agents like MWS Agent are poised to revolutionize the business landscape.
[1] Automation of repetitive, mundane tasks reduces costs and agent burnout. [2] AI agents help automate data wrangling, model building, and deployment, thus accelerating decision-making and predictive capabilities. [3] Augmented human roles focus on high-touch, complex tasks, improving overall service quality. [4] Smarter workflows enable staff to focus on complex inquiries and decision-making. [5] Operational efficiencies through faster data processing, pipeline automation, and unified management of workflows and security telemetry. [6] Scalable and intelligent customer engagement supports brand experience and customer satisfaction by reliably handling common queries and processes without constant human intervention.
- The development and deployment of AI agents like the MWS Agent in various business sectors, such as IT, agriculture, mining, transportation and logistics, retail, and oil refining, can significantly contribute to automating data wrangling, model building, and deployment, thereby accelerating decision-making and predictive capabilities, as mentioned in the text.
- The integration of artificial intelligence, such as the one used in the MWS Agent, in business processes can help automate routine tasks, which in turn can lead to operational efficiencies through faster data processing, pipeline automation, and unified management of workflows and security telemetry, as explained in the conclusion.
