Gen AI Unfold brings two summits under one roof. Across the Disrupt AI Summit and PLG Disrupt AI Summit tracks, ten themes map where Generative AI and agentic systems are reshaping engineering, product, business and the way teams build. For tech, BI and QA leaders alongside product and growth teams putting AI to work.
Pick a track to explore its agenda themes. The Disrupt AI Summit track focuses on tech, engineering, BI and QA; the PLG Disrupt AI Summit track focuses on product, growth and customer strategy.
What it takes to develop and deploy AI systems that earn user trust — bias mitigation, algorithmic transparency, and the reliability of AI-driven decisions. The track also confronts the security risks and data privacy challenges of AI, with experts and researchers sharing strategies for protecting systems from threats and safeguarding sensitive data.
Leadership and career progression in an increasingly automated landscape. Expect strategies for adapting to technologies reshaping tech roles and org structures, navigating the evolving job market, and the skills needed to thrive in the digital age — plus how AI is changing the demands placed on the workforce.
How AI is bending the trends in programming languages and opening up new ways of writing code — and how the latest advances are making languages more future-proof for the way developers actually build today.
The realities of integrating AI into systems already in production — overcoming challenges and surfacing the innovations reshaping how we interact with technology. Sessions cover measuring ROI and the costs of integration, the latest in Machine Learning and Deep Learning, NLP, and how AI is changing the game for Quality Assurance.
How generative AI is changing the game in tech innovation. Through case studies across business domains, we explore how Generative AI is set to reshape the industry and reach deep into software engineering, data analysis, and quality assurance.
Using AI to decode user behaviour and feedback so teams can craft features that resonate. With machine learning, we identify patterns and streamline development workflows to accelerate product teams and ship updates faster — while keeping the security and data privacy of AI systems front of mind.
How AI sharpens predictive analytics so teams can forecast trends and customer behaviour with greater accuracy. We show how to leverage historical data and how AI algorithms surface patterns and correlations human analysts might miss — feeding more strategic, evidence-led decisions.
How AI-driven automation in product workflows streamlines routine tasks like scheduling and reporting and augments feedback collection. This shift frees product managers to focus on high-level decisions and innovation, with predictive analytics anticipating market trends and customer needs.
How AI analyzes large customer datasets to spot trends and preferences. Attendees learn to build personalized marketing campaigns matched to individual profiles to boost engagement and loyalty — and to feed those insights back into product development for different market segments.
Why robust ethical guidelines and governance are essential for responsible AI. We dig into policies that encourage fairness, accountability, transparency, and the protection of user privacy — and show why aligning with diverse groups throughout development is crucial to catching ethical concerns early.
These ten tracks are part of the Disrupt (AI) Summit Series. Explore the full initiative across Athens and beyond — or partner with us to put your brand in front of the region's tech, product and engineering community.