Agenda October 14-15,2025

Welcome to the Disrupt Lead AI Forum 2025! In this energizing opening session, George Nikolaropoulos and Ioannis Papikas set the stage for an exciting journey—where leaders, innovators, and changemakers unite to shape how AI will redefine the future of business.

AI is no longer just a tool—it’s a strategic force that’s redefining how organizations create value. This session brings together leading Greek board members, CEOs, and AI strategists to explore how corporate governance must evolve in the face of rapid AI transformation. The discussion will focus on how boards can lead responsibly, align AI with long-term goals, and ensure their companies remain competitive and ethical in a fast-changing world.

Too often, AI enters product roadmaps as a checkbox for innovation rather than a driver of meaningful value. This session reframes AI adoption through the lens of product management strategy: starting from business cases, grounding in discovery, and measuring outcomes. We’ll look at the risks of hype-driven implementation, and instead propose methods to identify AI use cases that strengthen your competitive edge and deliver tangible results. Participants will gain a toolkit to critically evaluate AI’s role in their strategy and to lead AI discussions with clarity and confidence.

At the heart of Disrupt Lead AI Forum 2025, the Matchmaking Event (B2B) is where deals, connections and synergies happen. Imagine sitting down for curated one-to-one meetings with startups, enterprises, investors, researchers, and public stakeholders—all handpicked to match your goals.

Secure your spot at Disrupt Lead AI Forum today and unlock all the features of the 1st AI Business Matchmaking Event , organized by PRAXI Network in collaboration with Product-Led Hub and supported by the Enterprise Europe Network.

Aim of the Event: The matchmaking event is designed to bring together key players in the AI ecosystem—startups, enterprises, investors, researchers, and public stakeholders—through targeted one-to-one meetings.

By joining, you will be able to:

- Discover and explore synergies with potential partners.
- Exchange know-how and expertise in cutting-edge AI solutions.
- Co-develop projects and identify collaboration opportunities.
- Unlock business and investment prospects across industries.


Maximize Your Experience through the intelligent matchmaking platform – powered by PRAXI Network, you’ll have access to a personalized networking portal where you can:

- Browse profiles of other participants
- Schedule one-on-one meetings (in person and virtually)
- Receive curated suggestions based on shared interests and industry focus

How to Participate

1. Secure your spot at Disrupt Lead AI Forum by purchasing your ticket
2. Access the Matchmaking Event platform directly and complete your profile.
3. Please note that completing your profile is mandatory in order to be validated and visible to other participants.
4. You must include at least one “Marketplace” opportunity to be able to book meetings with other attendees.
5. Registration deadline: Friday, 10 October 2025
6. Pre-arranged meetings will take place in a hybrid format , both on-site in our dedicated Networking Zone onsite and online (with attendees residing abroad).

Useful Links:
- Disrupt Lead AI Forum Matchmaking Event (online registration) https://www.b2match.com/e/disrupt-lead-ai-forum

In the era of AI-driven cyberattacks, organizations must evolve beyond traditional defense. ClearSkies™ TDIR (Threat Detection, Investigation & Response) platform empowers enterprises to detect earlier, respond faster, and adapt continuously by combining holistic telemetry, Generative AI augmentation, and Agentic AI autonomy. This session will showcase how ClearSkies™ transforms Security Operations into an AI-orchestrated resilience engine, enabling smarter workflows, reduced analyst fatigue and automated response at machine speed—helping teams stay secure, compliant, and resilient in the age of AI threats.

 Manufacturing plants, offshore platforms, and vessels generate critical operational data but often lack reliable connectivity for cloud-based AI solutions. This session explores how deploying intelligent systems directly at remote locations enables immediate decision support, reduces operational costs, and maintains business continuity regardless of network availability. Learn how industrial operators and maritime crews are using on-site AI to diagnose equipment issues, optimize processes, and access expert knowledge instantly—transforming isolated assets into autonomous, intelligent operations. We'll examine real-world deployments where local AI capabilities have prevented production losses, reduced satellite communication costs, and enabled 24/7 operational intelligence without cloud dependency.

Artificial Intelligence is transforming the financial services landscape, and NBG is actively investing in building strong AI capabilities to stay ahead. In this session, we will unpack the bank’s strategic vision for AI and the factors driving this transformation. Participants will gain insights into the specific areas where NBG is applying AI, from enhancing customer experience and operational efficiency to strengthening risk management and innovation capacity.

AI has moved from the realm of experimentation to becoming a core enabler of business transformation. This session will explore how Greek enterprises are translating AI strategies into tangible outcomes—reshaping operations, customer experience, and decision-making. Leaders who are driving AI adoption within their organizations will share insights on bridging the gap between ambition and implementation, overcoming internal resistance, and building sustainable, data-driven cultures.

AI is no longer optional — it’s a strategic imperative. Yet most organizations struggle to go beyond experimentation. In this session, we’ll move past the hype and focus on how to build a real-world, actionable AI adoption roadmap tailored to business needs, resources, and risk profile. Whether you’re in manufacturing, finance, healthcare, or services, the key to AI success lies not in chasing tools — but in aligning technology with your core processes, data maturity, and human workflows. We’ll explore the lifecycle of AI adoption through practical phases: business alignment, capability assessment, data infrastructure readiness, model integration, and continuous improvement. You’ll see how to transition from “isolated use cases” to full-fledged AI-enabled workflows that deliver measurable ROI. We’ll also discuss the most common traps companies fall into — from overinvesting in infrastructure to neglecting user trust and model feedback loops. Attendees will leave with a visual framework for decision-making, a maturity checklist, and key metrics of how to track progress. If you’re planning to adopt AI — or struggling to scale it — this session will give you the clarity and structure to move forward with confidence.

The rise of agentic AI marks a turning point in science and engineering, moving beyond passive data analysis to active hypothesis generation, real-time experimentation, and adaptive problem-solving. This new paradigm enables AI systems to work hand-in-hand with human experts, accelerating breakthroughs in materials science, drug discovery, and sustainable engineering.
Future workflows will harness self-directed AI agents capable of navigating vast datasets, uncovering novel insights, and optimizing complex simulations—dramatically shortening the path from concept to application. By drawing on principles such as neuroplasticity-inspired frameworks and reversible computing, agentic AI will enhance efficiency, reduce computational waste, and remain ethically aligned.
This keynote ny Simon See, Global Head Nvidia AI Technology Centre, NVIDIA will explore how agentic AI is reshaping discovery itself—unlocking new frontiers in scientific reasoning while ensuring innovation remains sustainable, responsible, and human-centered.

As organizations embed AI into critical systems, a fundamental question arises: Who owns AI accountability? This panel addresses the shift from ad-hoc or siloed oversight models to a deliberate, organization-wide governance framework, where responsibility for ethical, safe, and transparent AI is clearly distributed across business functions.

Participants will explore how leading enterprises are designing cross-functional AI governance structures that scale with complexity and risk. From legal and technical teams to product and ethics advisors, the session highlights what true accountability looks like at the enterprise level—and how to operationalize it.

Many enterprises face significant challenges when attempting to integrate AI into legacy IT environments. This session will explore practical strategies for modernizing outdated infrastructure, transitioning to AI-powered cloud architectures, and strengthening cybersecurity resilience. From system interoperability to risk mitigation, we’ll unpack the technical and organizational levers needed to transform legacy systems into AI-ready foundations.