One full day of keynotes, quick sessions and hands-on workshops on Artificial Intelligence — the premier AI summit in Greece. Every session is available to watch on demand.
The official opening of the day — welcome, framing of the agenda and what to expect across the conference and workshop tracks.
How the convergence of AI and space technology is reshaping Earth Observation and satellite data analytics — turning space data into a driver of innovation, sustainability and economic growth.
Real-world lessons from running Azure OpenAI in energy, financial services and manufacturing — pairing models with proprietary data to lift productivity while handling messy data, security and privacy.
How AI is shaping product roadmaps and supporting product managers day to day, illustrated with concrete examples from real scenarios.
Practical strategies for building a shared development cycle between AI and product teams so internal AI systems are actually adopted and deliver value rather than going unused.
A historical tour through the evolution of AI and a deep look at the alignment problem — the challenge of keeping AI systems aligned with human values and goals.
The strategic landscape of Generative AI through a Fintech lens — its value chain, transformative business cases, and best practices for governance and de-risking the enterprise Gen AI journey.
How to spot genuine user needs and use AI as a catalyst to solve them — identifying AI use cases, folding them into the roadmap, and overcoming the challenges along the way.
Applying AI and ML to 5G networks — minimizing energy use and carbon footprint, pre-empting performance issues, managing interference and improving customer network experience.
Building a chatbot on corporate circulars at NBG — and the tool created to summarize, generate Q&As and compose documents when the source data lacks what's needed to train effectively.
Harnessing generative AI for business innovation — its role and limits, combining it with analytics and ML to boost performance, and dispelling common misconceptions in real deployments.
The role of Conversational AI in modern business — moving beyond rule-based bots to human-like implementations that drive efficiency, savings and better customer experience across industries.
How small and medium businesses can use AI responsibly to improve products, processes and customer experiences — with practical strategies for prioritizing use cases and building a culture of AI learning.
Why companies resist AI and what to do about it — addressing the common obstacles to adoption with actionable solutions that help organizations thrive in the age of AI.
How AI projects are evolving and what enterprises really need from them — with a focus on pain points in the Greek market, SME AI maturity, and ways to bridge the gap.
How an international retailer tackles complexity with a hub-and-spoke model — common analytics layers, MLOps for parallel multi-country model lifecycles, and the cultural shift of running it at scale.
How Teleperformance integrated Generative AI to redefine global processes — case studies and AI-powered solutions that optimize customer interactions and drive data-driven, systematic improvement.
Examining the factors behind gender bias in AI algorithms and decision-making, with real-life cases and proactive measures to mitigate risk and promote fairness.
Using AI to streamline SRE, incident, and change management inside a communication platform — without compromising private data — and the role of open-source models for customization.
Efficient nearest-neighbour search across a billion high-dimensional embedding vectors — the core indexes and practical techniques from the FAISS library that make billion-scale queries feasible.
Forecasting customer churn in a non-contractual setting using the sliding multi-time slicing (SMTS) technique — an inventive approach to training and evaluating models across multiple time intervals.
Using AI to unlock data that was previously inaccessible to BI teams — structuring documents automatically so analysts can move faster, surface hidden opportunities and scale data extraction.
A case study with the National Observatory of Athens and Corteva for cotton farmers — using causal AI to rigorously estimate a digital product's incremental impact on crop yield.
Using AI/ML pattern recognition to spot threats before they become incidents across cloud, hybrid and IoT environments — and tooling that simplifies the work of IT and security teams.
