Today, the fifth cohort of the School of Analytics continued its training. During the fifth week of the program, participants focused on the digital transformation of public administration, the development of artificial intelligence, and the role of data in shaping management decisions. The agenda was structured around the priorities of the Digital Kazakhstan initiative and the practical challenges facing the state in the context of accelerating technological change.
During his lecture, Zhaslan Madiyev, Deputy Prime Minister and Minister of Artificial Intelligence and Digital Development of the Republic of Kazakhstan, outlined the key priorities of the country's digital agenda for 2026. In his speech, he focused on both the strategic objectives of digitalization and the practical aspects of implementing artificial intelligence in the public administration system, emphasizing that today, technology is becoming part of management logic rather than a separate area of work.
"Digitalization is not a separate industry or a set of IT tools." This is a fundamental shift in the logic of public administration, where data, platform solutions, and artificial intelligence are becoming the foundation for improving the efficiency, transparency, and quality of decision-making. Artificial intelligence is already being used in data analysis, forecasting, and management decision support, but the key is not the speed of its implementation, but the quality of its use. It is important for the state to build a sustainable ecosystem based on high-quality data, trained personnel, and a clear understanding of the goals of digital transformation. "AI should enhance human analytical capabilities, not replace them. Only then will digital technologies begin to deliver a systemic and long-term effect," noted Zhaslan Madiyev.
The program placed special emphasis on the role of data and sociological research in understanding social processes. Gulmira Ileuova, President of the Center for Social and Political Research Strategy, dedicated her speech to the importance of long-term research in shaping public policy. She noted that systemic analytics allows the state to act proactively, rather than reactively.
"Sociological data allows us to see much more than current indicators or short-term fluctuations." They help understand how people's expectations, concerns, and demands are formed, and how these processes evolve over time. It's important for governments to consider not only the visible agenda but also underlying trends that aren't always immediately apparent. Analytics based on long-term research reduces the risk of error and improves the accuracy of decisions. Without such an approach, public policy inevitably becomes reactive. Data must be systemically integrated into the decision-making process. Only then can it begin to build resilience and trust," noted Gulmira Ileuova.
Furthermore, the program featured Hannes Astok, Executive Director and Chairman of the Board of the e-Governance Academy (Estonia), who presented international experience in building a digital state based on trust, data, and strong institutions. Philosopher and intellectual Andrei Baumeister also spoke online about the ethics and philosophical foundations of artificial intelligence.
The School of Analytics continues to build a professional community of specialists capable of working with data, analytics, and digital technologies, making a meaningful contribution to the development of Kazakhstan's public administration system and digital transformation.
(Press Office of the Senate, 74-72-27)
