Two days,
15 tracks

AI has stepped out of the world of experimental projects and entered the most important processes of corporate operations: it supports decisions, serves customers, creates content, analyzes data, automates workflows, and is becoming a true digital colleague in more and more areas. After generative AI, the era of Agentic AI has arrived: autonomous systems that no longer simply respond, but plan, execute, and deliver results. The AI Trends 2026 section shows how business, work, creativity, and technological competition are being transformed in an age where artificial intelligence is no longer just a tool, but a strategic force. Topics will include return on investment, scalable AI solutions, new corporate operating models, data security, regulation, human-machine collaboration, and who the real winners of the AI era will be. Boldly, quickly, intelligently – if you use AI this way, you can build a competitive advantage; if you hesitate, you will fall behind!

Everyone can already feel that artificial intelligence is no longer just a technological issue. It is now about community, society, power, and ultimately about you, the person using it. AI is present in our workplaces, schools, news, public services, healthcare, and in the background of our everyday decisions. It helps, accelerates, analyzes, suggests – and meanwhile, almost invisibly redraws what it means to know, work, create, decide, and take responsibility. The AI and Society section focuses on what truly matters behind technological breakthroughs: us. It explores how we will live in the coming decades, who the major winners and losers of this transformation will be, and how younger generations can find opportunities in a transitional era where the benefits of technology may still be less visible than its negative impact on communities. What kind of society are we building with AI, and what will remain for us humans in this new world?

In 2026, AI and autonomous systems are already an operational reality. Satellites, drones, sensor networks, and cyber defence platforms are being connected to interpret the world's most critical situations faster and more accurately. Today, AI no longer simply analyzes data: it supports decisions, predicts threats, controls systems, and creates new defence capabilities. The AI Space and Defence section examines how AI is transforming the space industry, how it supports space research, and how it is rewriting security policy and the operations of modern defence. Topics will include autonomous systems, drones, satellite data analysis, cyber defence, strategic sovereignty, and the question of human control. One of the key questions of 2026 is how AI can be used quickly, responsibly, and safely in defence technology in an increasingly unpredictable world, where technological superiority now depends on decision-making speed and reliable data.

Today, no one can afford to treat cybersecurity as a background task. In the digital space, defence has become a business, governmental, and social challenge. In 2026, attacks are faster, more automated, and harder to detect: artificial intelligence strengthens defensive systems while also giving attackers new tools. Phishing, deepfakes, ransomware, supply chain vulnerabilities, the protection of critical infrastructure, and human error – today's risks form an interconnected map of threats. The cybersecurity section, organized in cooperation with ITBN, examines how we can prepare for a digital environment where AI accelerates both attack and defence. Topics will include incident response, data protection, corporate resilience, regulation, and leadership responsibility. The key question of 2026 is whether we can break out of the vicious cycle of merely reacting to attacks.

The financial sector is one of the biggest winners of the AI revolution. In 2026, artificial intelligence already produces faster analyses, supports investment decisions in real time, detects fraud, personalizes banking services, and redefines risk management. As algorithms prepare more and more decisions, transparency, trust, and regulatory compliance become increasingly important. The AI and Finance section presents how AI is transforming the operations of banks, insurers, fintech companies, and capital market players. Topics will include intelligent investments, digital payments, AI-based customer experience, protection against financial fraud, and the future financial ecosystem. One of this year's major questions is: if AI controls transactions, if machines sell and buy investment assets, and if compliance automatically filters suspicious transfers, what tasks remain for banking experts?

In just a few years, AI has fundamentally rewritten the world of universities. It has changed how we learn, search for knowledge, write, research, take exams, and evaluate performance. Students now work with intelligent tools, teachers face new pedagogical situations, and institutions are asking: what role is left for universities in an age where answers are generated in seconds? The challenge is no longer simply detecting cheating or regulating AI use, but rethinking what real knowledge and independent thinking mean, and what counts as a valuable degree in 2026. In the AI and Education section, Hungarian and international university leaders, researchers, and education experts seek answers to how learning, assessment, research, and the social mission of universities are being transformed. The stakes are clear: can higher education reinvent itself, or will it lose its historic role as the defining institution of knowledge?

AI is bringing one of the greatest turning points in healthcare: faster diagnoses, more accurate predictions, personalized therapies, and more efficient patient pathways. In 2026, artificial intelligence already analyzes medical images, identifies risks, accelerates research processes, reduces administrative burdens, and opens new opportunities in drug development, prevention, and the management of chronic diseases. At the same time, the question of where the boundary lies between technological assistance and medical responsibility is becoming increasingly urgent. Who owns the data? Who decides the patient's fate? How can trust, human attention, and the safety of care be preserved in a system supported by algorithms? In the AI and Healthcare section, Hungarian and international experts present how AI is transforming healthcare almost day by day. The stakes are enormous: can AI become a partner in medicine that does not take us further away from people, but closer to better, faster, and fairer care?

We have moved beyond the point where media moved into our lives; now we are uploading our lives onto various artificial intelligence platforms. AI accelerates content production, gives journalists new tools, personalizes news consumption, and meanwhile raises the question of credibility more sharply than ever before. In 2026, artificial intelligence already drafts articles, analyzes data, generates video and audio, translates, edits, suggests headlines, measures audiences, and helps identify manipulated content. At the same time, deepfakes, automated disinformation, and algorithm-shaped public discourse open a new era in how we navigate information. The question is whether we know more about the world than before, or whether we simply see and hear the same things multiplied. The AI and Media section examines how journalism, content development, the advertising market, and audience relations are changing in a world where technology now also influences how we perceive reality.