Disrupt (AI) Summit Agenda

The online betting industry is a steeply growing form of digital entertainment in Greece. Thousands of users  are registering, navigating and playing within a wide variety of betting products.

On the other hand data sets consist the trace of customer journeys and preferences for decision makers who need to deeply understand customer needs in order to launch new products, features or commercial actions.

The explosion of data volume and complexity puts machine learning in the "poll position" for actionable insights delivery, fast and relevant proactive B to C actions and data driven product optimizations.  In that context "real business life" examples are displayed to showcase how  Segmentation Models drive product and promotion relevance, how Propensity Models drive the speed of proactive CRM and how Forecasting Models drive Marketing Investment Mix optimization. 

In this session we will showcase how machine learning has become for OPAP a day to day reality, upgrading constantly the online customer experience.

As AI capabilities evolve, many companies are re-evaluating how to scale internal operations without overburdening their teams. In this session, we’ll explore how Intelligencia AI has approached this challenge within the context of clinical data curation—a process that involves harmonizing more than 1.5 billion data points on a daily basis.

Rather than framing AI as a replacement for human expertise, Intelligencia focused on designing tools and workflows that support and extend the capacity of their Clinical Data Experts. Over the past two years, this has required deliberate choices about which problems to address with AI, how to balance exploratory research with product strategy, and where the use of large language models (LLMs) added value—or fell short.

This session will cover:
1.Decision-making around build vs. don’t-build when it comes to internal AI tools
2.How product and research teams collaborated to stay aligned
3.What worked, what didn’t, and what’s still in progress when it comes to AI integration
4.Reflections on maintaining team wellbeing in the face of scaling demands

The discussion aims to offer a candid look at the practicalities of embedding AI into operational workflows, with lessons applicable to any team navigating similar trade-offs.

TBA

Great product management isn’t just about reacting to feedback—it’s about anticipating needs before they’re voiced. As AI capabilities accelerate, the role of the product manager is evolving into one that blends intuition, experimentation, and technical fluency.

In this session, Ioannis Papikas offers a practical deep dive into what it means to lead AI-driven product development in 2025. From gathering the right data and framing the right problems, to running experiments and validating solutions, this is a crash course in building intelligent products that users love—and trust.

What to expect:
1.A walkthrough of the AI product lifecycle—from idea to implementation
2.Techniques for integrating AI into the discovery and validation process
3.Strategies for balancing innovation with usability and impact
4.Tools and mindsets to help PMs lead in fast-moving, high-uncertainty environments

Whether you’re launching your first AI feature or scaling existing capabilities, this session will help you reframe your approach—and lead from a step ahead.

AI is rewriting the rules of product analytics—turning chaos into clarity. In this session, we’ll explore how AI automates data workflows, ensures trusted insights through smart observability, and unlocks access for all via natural language. The result? Faster decisions, deeper personalization, and product growth driven by intelligence, not guesswork.

Step into the future of product management with an Iron Man twist! In this session, we will explore how different innovative tools supercharge product development teams worldwide. I will share the agentic AI workflows I use to drive efficiency, spark creativity, and generate game-changing value for companies.

Like Tony Stark’s transformative journey, you will discover how to harness AI to revolutionize your product management approach. This session is designed to inspire, empower, and equip you with actionable strategies to excel as a product manager and builder. Whether you are refining your innovation process or scaling your development efforts, join us and unlock a new era of success in the digital age. Prepare to be challenged, transformed, and ready to lead with the power of AI. Walk away with the mindset and tools to revolutionize your career and drive innovation forward.

As AI agents evolve, their true power lies not in generalization but in verticalization—tailoring AI to deeply understand and transform industry-specific workflows. In this session, Jacob George Director of Product, Founders Factory will explore how vertical AI agents are reshaping industries by embedding intelligence directly into core operations. Drawing from my work in AI-driven therapy for speech & language disorders (Ogma) and AI-powered insurance claims automation (InsureAI), I will showcase how specialized agents can enhance efficiency, accessibility, and scalability.

From revolutionizing clinical workflows to automating claims processing, vertical AI agents are moving beyond generic automation to domain expertise—augmenting professionals, improving outcomes, and unlocking new economic models. But scaling these agents requires more than just fine-tuned models; it demands robust data pipelines, industry-aligned design, and human-in-the-loop intelligence.

This session will provide a framework for building and deploying vertical AI agents across sectors—demonstrating how AI’s next frontier is not just intelligence, but specialization.

Despite significant investment, 90% of AI models never see production. Why? Because AI isn’t a product—until you deliberately shape it into one.

Too often, AI initiatives falter because they begin as technical experiments disconnected from clear business goals. Teams frequently build sophisticated models without first articulating a precise problem, securing stakeholder alignment, or establishing metrics to measure genuine impact.

In this interactive session, you'll learn how to transform AI concepts into tangible products that deliver measurable business results. Drawing on real-world case studies from the gaming industry and beyond, we'll outline a proven approach to tackling ambiguous AI requests, utilizing data-driven insights to identify meaningful problems, and ensuring AI features integrate seamlessly with your broader product strategy and KPIs. 

Key takeaways include: 
Practical strategies for shifting from AI experimentation to impactful products 
Methods to define and track AI success metrics that genuinely matter 
Techniques for aligning AI initiatives with overarching product and business objectives 

The AI boom has sparked a wave of new tools—but turning technical breakthroughs into real, valuable, and trusted products remains a complex challenge. This session offers a candid look at what it takes to build AI products that resonate with users and stand the test of scale.

Drawing from hands-on experience across multiple industries—from self-service tools for SMBs to secure, enterprise-grade assistants and AI-powered productivity features in the legal sector—this talk unpacks the hard-won lessons behind products that made it past the hype.

Topics include:
1.Choosing the right problems to solve when the tech outpaces customer needs
2.Aligning product, data, and engineering teams around evolving capabilities
3.Designing for usability and trust, even when the inner workings aren’t fully explainable
4.Avoiding common pitfalls that derail AI product development

Whether you're shaping a product roadmap, building alignment across teams, or navigating the tension between innovation and clarity, this session offers practical frameworks for making AI deliver—beyond the demo.