19–21 November 2025 • Multikino, Vilnius

Turning

AI Ideas

Into Results

AI Summit Europe 2025

Where European business leaders, innovators, and decision-makers converge to transform artificial intelligence from concept to competitive advantage.

Turning

AI Ideas

Into Results

AI Summit Europe 2026

24–27 Nov 2026 Vilnius & Online

One Ticket AI Summit + Big Data Conference

Where European business leaders, innovators, and decision-makers converge to transform artificial intelligence from concept to competitive advantage.

INVESTING IN YOUR TEAM PAYS OFF

Bring five. Pay for four. Join AI Summit Europe 2026 with your team, explore practical AI strategies, real-world use cases and emerging technologies across multiple tracks in a cinema-style setting. Learn together, divide sessions strategically and turn new ideas into real business impact.

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24–27 Nov, 2026 Vilnius & Online

One Ticket for AI Summit & Big Data Conference

Turning

AI Ideas

Into Results

AI Summit Europe 2026

Where European business leaders, innovators, and decision-makers converge to transform artificial intelligence from concept to competitive advantage.

If you've landed here, you're probably...

Thinking about what AI really means for your business

Most leaders are here – questioning the hype vs reality

Wondering how others are actually using AI - beyond the buzz

You want real case studies, not marketing fluff

Looking for clarity in a fast-moving, overhyped AI landscape

Cut through the noise with expert guidance

Ready to stop watching from the sidelines and start leading with AI

Time to move from observer to leader

You’ve Found Your Tribe

Welcome to AI Summit Europe 2026

The conference built for leaders ready to act.

24 Nov, 2026 Workshops Simbiocity Nova 25–27 Nov, 2026 Summit Forum Cinema Vingis

24 Nov | Workshops | Simbiocity Nova

25-27 Nov | Summit | Forum Cinema Vingis

4

Days

6

Tracks

7

Workshops

90+

Sessions

35+

Countries

700+

Attendees

3

Days

3

Tracks

40+

Sessions

35+

Countries

500+

Attendees

This event brings together business professionals, innovators, and decision-makers from across Europe to focus on real-world AI implementation and strategy.

Over four days, you’ll gain practical insights, explore proven frameworks, and connect with those successfully integrating AI into their operations — without the fluff.

If you’re looking to unlock business value from AI, align teams around smart execution, and stay ahead in a rapidly shifting landscape — you’re in exactly the right place.

Join us at AI Summit Europe 2026 – the international event for business professionals, leaders, and decision-makers driving AI forward.
Explore practical strategies across four key areas: business transformation, implementation, operational efficiency, and innovation. Learn what works, connect with industry peers, and turn AI potential into real business impact.

Themes

Turning AI Ideas Into Results

Explore the most critical aspects of AI development and implementation through focused tracks designed for maximum impact.

Click any theme to explore details

AI Strategy & Organizational Transformation

From vision to value: drive enterprise-wide AI transformation.

Strategy

This theme focuses on how organizations define and implement AI strategies that create sustainable impact. Sessions explore leadership alignment, AI governance, pricing models, and structuring teams for AI success.

See Sessions

AI Solutions for Business Efficiency & Automation

Replace manual work with intelligent systems—and scale what works.

Automation

Focused on operational excellence, this theme covers how businesses leverage AI to optimize workflows, reduce costs, and automate routine processes.

See Sessions

AI Ecosystem & Tools in Real-World Use

Tool up for impact: real-world AI platforms, integrations, and best practices.

Tools

Explore how to apply existing AI platforms—from Microsoft to open-source—to real business scenarios. Topics include prompt engineering, model deployment, and integration strategies.

See Sessions

AI Innovation & Emerging Technologies

What's next? Emerging AI trends and technologies shaping the future.

Innovation

This theme showcases what’s on the horizon: from deepfakes and agentic automation to generative storytelling and algorithmic emotion. It challenges attendees to think ahead and prepare for transformation.

See Sessions

AI Applications in Industry & Sector Use Cases

Sector by sector: how AI is redefining industry norms and unlocking value.

Industry

This theme highlights how AI is solving real problems in construction, education, logistics, finance, healthcare, and more. Real-world case studies. Tangible results.

See Sessions

Humanoid Robot Showcase & Live Meeting

Meet your first humanoid robot: shake hands, walk together, and take photos — see AI in action.

Robot Meet

A one-of-a-kind live experience where AI steps off the screen and into real life. Interact directly with a humanoid robot — greet it with a handshake, stroll side by side, and capture photos - a glimpse into how robotics is moving from concept to everyday life and work.

Get Ticket

Keywords

Find Your Expertise

Connect with like-minded professionals and discover the AI topics that matter to your role and industry

Join professionals from every corner of the AI ecosystem

500+ AI Leaders 200+ Companies 15+ Industries

Summit Audience

Your Role. Your Impact. Your AI Journey

Whether you lead strategy, run operations, serve the public, or build new solutions — AI Summit Europe 2026 helps you turn ideas into outcomes.

Executives & Decision-Makers

Turn vision into action. Translate AI potential into measurable ROI. Drive company-wide adoption with confidence.

Business & Operations Professionals

Replace manual work with smart automation. Streamline processes and improve efficiency. Deliver real impact.

AI Practitioners & Users

Master the habits and tools that make AI a reliable part of your daily work. Deliver better results, faster.

Startup Teams & AI Enthusiasts

Turn your idea into a validated solution. Refine your product to meet real market needs. Find your path to scale.

Ready to Accelerate Your AI Journey?

Join 500+ European leaders who are turning AI ideas into measurable business results.

Executives & Decision-Makers

Business & Operations Professionals

Public Sector Representatives

Startup Teams & AI Enthusiasts

Turn vision into action.
Translate AI potential into measurable ROI.
Drive company-wide adoption with confidence.

Replace manual work with smart automation.
Streamline processes and improve efficiency.
Deliver real impact.

Transform policy into better public services.
Embed transparency, ethics, and trust.
Build citizen-first AI solutions.

Turn your idea into a validated solution.
Refine your product to meet real market needs.
Find your path to scale.

Executives & Decision-Makers

Turn vision into action. Translate AI potential into measurable ROI. Drive company-wide adoption with confidence.

Business & Operations Professionals

Replace manual work with smart automation. Streamline processes and improve efficiency. Deliver real impact.

Public Sector Representatives

Transform policy into better public services. Embed transparency, ethics, and trust. Build citizen-first AI solutions.

Startup Teams & AI Enthusiasts

Turn your idea into a validated solution. Refine your product to meet real market needs. Find your path to scale.

Attending Companies

Our Community Is Growing

Join our international community at AI Summit Europe 2026. Connect with industry leaders and peers, learn from the best in the business, and enhance your professional connections for growth!

Summit Keynotes

Hear From Keynotes on the Main Stage

Gain first-hand insights from executives, innovators, and thought leaders delivering keynote sessions that set the agenda for the future of AI and business transformation.

2026 Edition Speakers

Speakers of AI Summit Europe 2026

3

Formats

5

Themes

90+

Speakers

30+

Hours Content

Povilas Godliauskas

Well-Being Psychologist Therapist and Researcher (Lithuania)

Thomas Endres

Managing Partner at TNG Technology Consulting GmbH (Germany)

Aurimas Paulius Girčys

CEO of APG MEDIA (Lithuania)

Kotryna Kurt

Founder of Linkedist (Lithuania)

Rui Machado

Chief Technology Officer at Orbit (Portugal)

Peter Mesarec

CEO at SEOS AI (Slovenia)

Natella Krapivina

Founder of RIZZ Group (Latvia)

Steffen Kastner

Principal Product Manager at UnternehmerTUM GmbH/Digital Product School Munich (Germany)

Povilas Godliauskas

Well-Being Psychologist Therapist and Researcher (Lithuania)

Thomas Endres

Managing Partner at TNG Technology Consulting GmbH (Germany)

Aurimas Paulius Girčys

CEO of APG MEDIA (Lithuania)

Kotryna Kurt

Founder of Linkedist (Lithuania)

Rui Machado

Chief Technology Officer at Orbit (Portugal)

Peter Mesarec

CEO at SEOS AI (Slovenia)

Natella Krapivina

Founder of RIZZ Group (Latvia)

Steffen Kastner

Principal Product Manager at UnternehmerTUM GmbH/Digital Product School Munich (Germany)

Want to Join a Lineup?

Have a compelling case study, breakthrough innovation, or bold vision to share? We invite you to apply to speak at premier event uniting enterprise leaders, pioneering startups, and influential policymakers to drive real-world AI adoption across the Europe.

Confirmed Talks

From Keynotes to Deep Dives: 2026 Sessions

Select any theme to filter sessions

Expand All +

November 24
November 25-27

09:00 - 17:00
Workshop | Building a Sandboxed Multi-Agent System
By Vikram Vaswani Developer Advocate (India)

Codegen agents are becoming standard for both local and remote workloads. As their capabilities grow, so does the blast radius when their experiments go wrong: deleted files, leaked secrets, corrupted state, and in adversarial cases, host compromise.Sandboxes are the emerging answer. Think of them like a laptop for agents: close the lid and the environment suspends, open it and it resumes instantly with full state preserved. Hardware-level isolation with sub-second startup, giving agents somewhere to run arbitrary code without touching the host.With a sandbox in place, the next question is what to put in front of it. A single agent with a big toolbox and one sandbox is the obvious starting point...and it works, until it doesn't. Context windows balloon, the model second-guesses its own tool choices, and one prompt ends up trying to do reviewer, refactorer, and test-writer all at once.Specialized agents are a better unit of composition: each one narrow in scope, easier to evaluate, easier to swap out, and easier to reason about when something goes wrong. But the hard part isn't building one agent; it's getting two of them to share enough context to collaborate without stepping on each other.This full-day, hands-on workshop walks attendees through the complete journey: from a single-prompt prototype to a sandboxed, multi-agent system with shared context. We will build it using the OpenAI Agents SDK (Apache 2.0, LLM-agnostic) wired to a cloud sandbox via MCP. The pattern is vendor-agnostic and works with any LLM and sandbox provider supported by the SDK. Teams with data sovereignty requirements can swap in self-hosted open-weight models such as Llama 3 or Mistral served via vLLM or Ollama.
9:00 - 17:00
Workshop | Human-Centric AI Implementation: A Practical Playbook for Enterprise Teams
By Jamie Bykov-Brett Founder of Bykov-Brett Enterprises (UK)

This full-day workshop, led by AI Transformation Strategist Jamie Bykov-Brett, takes participants from AI curiosity to confident implementation through the hands-on application of proven frameworks. Jamie draws directly on the curriculum he has designed and delivered for enterprise clients, including organisations in regulated sectors, combining strategic thinking with practical execution. The day is structured in four modules: mapping the AI opportunity landscape, designing human-centric workflows, building a measurement and accountability framework, and navigating stakeholder resistance. Participants work through live exercises using their own organisational context and leave with a completed AI opportunity map, a stakeholder communication template, and a 90-day implementation checklist. No prior technical background is required. This workshop is designed for cross-functional teams, including HR, operations, marketing, and leadership, who need to move from strategy to action.
9:00 - 17:00
Workshop | Making Your Software AI-Ready: Detecting and Anonymizing Sensitive Data Across the Stack
By Mantas Damijonaitis Founder of Notas IT (Lithuania)

Traditional web applications send raw, sensitive user data to the server, relying on downstream **back-end** processes for redaction. This workshop challenges that paradigm by moving the privacy boundary directly into the browser.In this hands-on session, Rasmus Longva Haugland shows participants how to build a privacy-first **front-end** architecture using Next.js. Participants will learn how to implement a local AI model that detects and masks personally identifiable information (PII) in real time, ensuring sensitive data is intercepted and sanitized before a network request is ever made. Key takeaways: How to integrate local, WebGPU-accelerated AI models into a real-world Next.js application. Techniques for offloading heavy inference tasks to Web Workers to maintain a seamless user experience. A concrete, privacy-by-design architecture that participants can adapt for their own production environments. A pragmatic breakdown of where client-side AI meaningfully reduces compliance exposure and where it does not.

Session time will be announced soon
Your AI Talks to My AI: The Rise of Autonomous Executive Agents
By Aistis Raudys Founder and CEO of AAI Labs (Lithuania)

This session examines the emergence of autonomous AI agents that manage executive tasks such as scheduling, coordination, and routine decision-making. In this session, Aistis Raudys explains how these AI assistants can enhance organizational efficiency and redefine leadership workflows.
Session time will be announced soon
Transforming Video on the Fly: Practical AI Solutions for Creators
By Rafal Leszko Staff Software Engineer at Livepeer (Poland)

Generative AI is opening new possibilities for creating and transforming video in real time. In this talk, the speaker explores how recent models such as StreamDiffusion and LongLive push diffusion techniques into practical use for low-latency video generation and transformation. The speaker provides a deep technical walkthrough of how these systems can be adapted for streaming use cases, unpacking the full pipeline - from decoding, through the diffusion process, to encoding - and highlighting optimisation strategies, such as key–value (KV) caching, that make interactive generation possible. The talk also discusses the trade-offs between ultra-low-latency video transformation and generating longer, more coherent streams. To make it concrete, the speaker presents demos of StreamDiffusion (served with the open-source cloud service Daydream) and LongLive (explored with the open-source research tool Scope), showcasing practical examples of both video-to-video transformation and streaming text-to-video generation.
Session time will be announced soon
Driving Sustainable Compliance: Harnessing Behavioral Science & Organizational Change in Privacy, AI, and Data Management
By Liisa Thomas Partner of Sheppard (USA)

Liisa Thomas explores how behavioral science and organizational change principles are shaping the future of corporate compliance. In the presentation, she will share practical tools—like stakeholder mapping, influence planning, and cultural diagnostics—that privacy, AI and data professionals can use to integrate the power of organizational change into their compliance efforts. She will discuss how professionals can move past checklists and instead implement real, sustainable change in their organizations.
Session time will be announced soon
Deterministic Agent Architectures in a Probabilistic World
By Stanko Kuveljić Staff ML Engineer at SmartCat.io (Serbia)

As AI agents become more capable, many engineering teams embed increasingly complex business logic directly into system prompts. While effective in prototypes, this approach creates invisible technical debt: nondeterministic failures, brittle model upgrades, and regression cycles that are difficult to reason about or validate.In this technical case study, Stanko Kuveljić present the refactoring of a production scheduling agent from prompt-encoded logic to a deterministic, state-driven architecture. By separating model reasoning from application state transitions, the team introduced explicit invariant enforcement, structured observability, and behavioral testing gates across the continuous integration and continuous delivery (CI/CD) pipeline.Key topics include:Designing state graphs that enforce deterministic routing for business-critical operationsImplementing behavioral validation pipelines that test agent tool calls and state mutations instead of conversational phrasingReducing prompt surface area to improve traceability, reproducibility, and model upgrade safetyIntroducing deployment gates that reduced manual regression validation effort in productionAttendees will leave with a reference architecture, a behavioral testing checklist, and a step-by-step approach for migrating prompt-driven agent systems toward bounded, production-grade reliability.
Session time will be announced soon
How Orbit is democratizing data consumption with Agentic AI
By Rui Machado Chief Technology Officer at Orbit (Portugal)

Orbit is transforming data consumption by replacing dashboards with agentic, context-aware AI. Rui Machado will explain how Orbit’s architecture, which integrates Orbie (a conversational agent), Heimdall (a security and access engine), and the Constellation API (an integration hub), allows users to obtain trusted, governed insights through simple queries. This session will demonstrate how Orbit streamlines traditional business intelligence (BI), automates analytical reasoning, and provides each employee with a personalised data assistant. Attendees will discover why agentic AI represents the next step in data consumption and how Orbit enables secure, scalable, and accessible data for all.
Session time will be announced soon
AI-Driven Document Processing for Rapid Results
By Eduard Shlepetskyy CEO of ECTIVE Automation (Slovakia)

"AI is transforming industries—and document processing is no exception. Modern AI systems take extraction to a new level of precision, drastically reduce training effort, and enable idea-to-production cycles within a single business day.In this session, Eduard Shlepetskyy shows how organizations can move beyond templates and rule-based systems toward adaptive, learning-driven document intelligence. Through a live demonstration, attendees will see how structured data can be extracted from complex, unstructured documents in minutes—without lengthy setup or heavy IT projects.The talk also addresses enterprise essentials such as accuracy, governance, and human validation, providing a practical framework for scaling AI-powered document processing sustainably."
Session time will be announced soon
Designing Insurable AI: Avoiding Costly Mistakes
By Ioana Ghita AI Architect at Accesa (Romania)

AI agents are already causing real financial damage, and insurers are beginning to price that risk, with policies covering up to $50 million in agent-caused losses. As agent insurance becomes as common as cyber insurance, the key question is no longer “does it work?” but “is it insurable?” Most teams unknowingly disqualify their systems from certification during the design phase. This talk explains why and shows how to avoid it. Ioana Ghita presents a practical framework for designing AI agents that can be certified and insured. Drawing from real production deployments, she shows how five critical early architectural decisions determine whether an agent can meet emerging standards like AIUC-1. Attendees will hear: Five design decisions that make an agent certifiable Four behavioral validations that generate auditable evidence Three runtime metrics required to maintain certificationEach point is grounded in production failures where the architecture was the root cause, not the model.
Session time will be announced soon
Integrating Human Knowledge with AI
By Maya Lievegoed CEO of HUMINT Solutions Europe (Netherlands)

AI is everywhere in business conversations today, yet many organizations ignore the elephant in the room: AI can only analyze what has already been documented. Some of the most valuable insights about emerging risks and opportunities never appear in systems, dashboards, or models. In this keynote, Maya Lievegoed, CEO of HUMINT Solutions Europe, reveals why artificial-intelligence-driven strategies miss these signals and how leaders can systematically capture and integrate this unrecognized human knowledge into their AI and intelligence workflows. Through real-world cases, she demonstrates how uncovering hidden insights has transformed organizational decisions and strategy. The result is smarter decisions, higher employee engagement, and a competitive advantage that data alone cannot deliver.
Session time will be announced soon
Skill issue: Teaching robots to play Counterstrike with imitation learning
By Thomas Endres Managing Partner at TNG Technology Consulting GmbH (Germany)

Have you ever wished you had an equal who could play Counter-Strike just as well as you? Thanks to recent developments in Robot Foundation Models (RFMs), robots can learn how to play video games just like you, imitating your best and worst behaviours. In this talk, Thomas Endres and Jonas Mayer show how to use imitation learning to teach an RFM to play arbitrary games. They draw first blood with an introduction to Robot Foundation Models. Attendees will learn how they work, what kind of data they are designed to process, and how that makes NVIDIA’s GR00T perfect for playing video games. After that, they quick-scope the concept of imitation learning, what kind of data they need to train their GR00T model, and how they can collect it from games. Finally, they tell the story of leveling up the model from total noob to global elite - one failure at a time - and share all the things they learned along the way.Throughout the talk, Thomas and Jonas include live demos in their slides. To close the game, they challenge one member of the audience to beat GR00T live on stage in a 1v1.
Session time will be announced soon
Solving the AI agent trust problem: a practical implementation of verifiable delegation
By Agne Caunt Product Owner at Dock Labs (Lithuania)

Service providers are suspicious of today’s AI agents because there is no practical way to verify that an agent is executing in line with the intent of a human who can be held responsible for the agent's actions. This fundamental trust barrier is a problem of delegated authority. Current approaches using API keys or session tokens provide insufficient granularity, auditability, and security for real-world autonomous actions. As a result, manual human approval is required to complete transactions, and agents do not live up to their potential. In this talk, Agne Caunt shows how to provide AI agents with secure, verifiable digital credentials that prove a user’s identity and permissions, allowing vendors to easily trust and approve transactions. She does this through a practical implementation of cryptographic delegation using verifiable credentials. The talk introduces a dual credential architecture combining user identity credentials (KYC) with agent authorization credentials (KYA) that prove bounded, time-limited delegation authority. The system integrates with the Model Context Protocol (MCP) and leverages zero-knowledge proofs for privacy-preserving verification. Agne makes the conversation tangible with a demonstration illustrating how service providers verify the necessary KYC and KYA credentials. She then covers critical implementation decisions such as wallet UX to reduce adoption friction, RESTful API patterns for AI platform integration, credential lifecycle management, granular permission controls, and ecosystem challenges around standardization and service provider adoption. Attendees will leave with actionable insights for implementing delegated authority in their own AI agent systems.
Session time will be announced soon
The Email Operating System: Teaching AI to Orchestrate, Not Improvise
By Dmytro Kudrenko Founder of Stripo Inc (Ukraine)

Three leading LLMs were tested on real email generation tasks, with 61% average quality and zero production-ready outputs. The problem isn’t the models — it’s what they’re working with. Prompt-to-HTML is structurally broken: no brand memory, no section roles, and no safe way to swap a layout without destroying content. This talk introduces the Email Domain System — a semantic contract layer that turns AI from a generator into an orchestrator. Instead of improvising HTML, AI selects governed components, plans section sequences through compositional briefs, and fills content into defined slots. A variant swap changes the entire layout while preserving every heading, image, and CTA. Dmytro Kudrenko will show, with real examples, how the full pipeline works and why this architecture generalizes beyond email: AI quality is bounded by the semantic contracts it operates within.
Session time will be announced soon
Streamlining Communication: A Brain-First AI Approach
By Paweł Feliński Advisor to the Board at Primotly (Poland)

In a remote-first software house, meetings and asynchronous chats quickly become the backbone of communication. As every new tool suddenly becomes “AI-powered”, instead of following the usual “AI everywhere” trend, Paweł Feliński and his team took a brain-first approach: first understanding how knowledge actually moved through the organisation, and only then deciding where AI could genuinely help.That led to an unexpected discovery: many recurring agile “ceremonies” existed mainly to move information from one person to another.Once they started treating organisational knowledge as an operational problem, not just a documentation problem, several things changed quickly. Post-meeting note-taking disappeared. Developers stopped joining estimation sessions by default. Specifications became asynchronous, reviewable, and easier to evolve. Some meetings became shorter. Others vanished entirely. What disappeared were not feedback loops or collaboration, but the manual overhead around them.To support this, the team built a lightweight, LLM-agnostic internal knowledge layer designed around their actual delivery workflows rather than generic AI productivity demos.Not every experiment worked. In several cases, removing a ceremony also removed hidden coordination value they had not noticed before.This talk is a practical before/after case study of how a growing software company used a brain-first AI approach to reduce coordination overhead — and discovered that many agile “ceremonies” existed mainly to compensate for broken knowledge flow.
Session time will be announced soon
Why Most AI Initiatives Fail - A Leadership Framework for Turning AI Into Real Business Results
By Peter Mesarec CEO at SEOS AI (Slovenia)

Most organizations already have access to AI tools, yet very few are achieving measurable business transformation. After working with more than 150 companies on AI adoption and operational implementation, Peter Mesarec has identified a recurring pattern: AI initiatives rarely fail because of technology limitations. They fail because leadership teams approach AI without a structured execution model. Companies often jump directly into tools, pilots, or automation before identifying where AI creates the highest operational value, how teams will actually adopt it, and how leadership should guide implementation across the organization. In this session, Peter presents a practical leadership framework for turning AI from isolated experimentation into measurable operational impact. The presentation is based on real implementation patterns observed across multiple industries and departments, including marketing, customer support, HR, finance, and operations. Attendees will learns Why most AI initiatives stall after the initial excitement phase The leadership mistakes that create fragmented AI adoption How to identify high-impact AI opportunities before investing in automation How to prioritize AI initiatives based on operational ROI Why employees use AI individually while organizations still see little measurable impact How to reduce resistance, shadow AI, and tool chaos What successful AI-first organizations consistently do differently The session focuses on practical implementation, measurable outcomes, and organizational execution rather than AI hype or futuristic predictions. Attendees will leave with a realistic framework they can immediately apply inside their own organizations to improve AI adoption, alignment, and business results.
Session time will be announced soon
Observability Is How You Manage Agents
By Sam Komesarook Founder of Arts & Engineering Composite (UK)

AI agents are no longer just prompts with tool calls. They are long-running, asynchronous systems that act across tools, queues, context, sandboxes, and teams. In this talk, Sam Komesarook shows why debugging agents is becoming less like reading logs and more like managing autonomous workers: tracing what happened, interpreting recurring behavior, catching failures live, and closing the loop from insight to intervention.
Session time will be announced soon
From Industrial to Digital Mindset: Why Most AI Transformations Fail Before They Start
By Jamie Bykov-Brett Founder of Bykov-Brett Enterprises (UK)

Most organisations invest heavily in AI tools and almost nothing in the human systems those tools depend on. In this session, Jamie Bykov-Brett, AI Transformation Strategist and founder of Bykov-Brett Enterprises, makes the case that the biggest barrier to AI adoption is not technical, but cultural. Drawing on hands-on consulting work across regulated industries and C-suite training programmes, Jamie presents a repeatable framework for diagnosing and closing the mindset gap that silently kills AI initiatives. Attendees will leave with a practical diagnostic tool, a model for phased cultural change, and concrete before-and-after examples from real enterprise deployments. This session is built for leaders who are tired of transformation roadmaps that look great on slides but stall in practice.
Session time will be announced soon
The Art of Inventing: How Curiosity Creates Better Systems, Products, and Ideas
By Mantas Damijonaitis Founder of Notas IT (Lithuania)

Many people associate invention with groundbreaking discoveries, patents, or revolutionary products. In reality, invention happens every day. A new workflow that saves an hour each week, a system that eliminates a recurring problem, or a simple habit that improves consistency can be far more valuable than a world-changing idea that never leaves the drawing board.In this talk, Mantas Damijonaitis shares practical techniques for developing an inventor’s mindset. Drawing from his experience as a software architect, entrepreneur, and continuous optimizer, he explores how curiosity leads to better solutions, how discipline turns ideas into reality, and why small inventions often have the greatest impact. Attendees will leave with actionable methods for identifying opportunities, designing their own systems, and continuously improving the way they work and live.
Session time will be announced soon
Case Study. From Riga to Google's Top 5: How We Rebuilt Creative Production Around AI at RIZZ Group
By Natella Krapivina Founder of RIZZ Group (Latvia)

In this talk, Natella Krapivina presents an end-to-end case study on building a full AI production pipeline at a Latvia-based creative company serving global brands. The session is anchored by *The Translator* — an AI film produced with no traditional crew or budget, and selected by Google as one of the global top five out of 30,000+ submissions. Attendees will leave with a production checklist and a before-and-after breakdown of timelines, costs, and output quality.
Session time will be announced soon
AI Generated Content Overload and the Dead Internet Theory: Fiction, or Future?
By Darren Richardson Senior CyberSecurity Engineer at ICEYE (Finland)

AI is here, and it is here to stay. So how can organizations avoid the fabled “dead internet,” where most content is generated by AI and consumed by AI, cutting the human element out of the system altogether?In this talk, Darren Richardson explores the sociology of the internet, the effects of social media on media manipulation, the possibility of automatically generated content, and how solid DevOps tooling can be used to generate a set of guardrails for keeping AI on the path people want.
Session time will be announced soon
From AI Pilots to an AI-Powered Enterprise: How Mediaplus Built a Global AI Operating Model Across 25+ Markets
By Karin Immenroth Global Chief Data Officer at Mediaplus Germany GmbH (Germany)

While many organizations have successfully launched AI pilots, only a few have managed to transform artificial intelligence into a scalable business capability that delivers measurable impact across markets, teams, and clients. In this session, Karin Immenroth, Global Chief Data Officer at Mediaplus Group, shares how one of the world’s largest independent media agencies built a global AI Operating Model that connects data, analytics, AI applications, automation, and business processes into a single ecosystem. Drawing on real-world experience from the Mediaplus transformation journey, Karin will demonstrate how the organization established a global data mesh architecture, implemented a centralized data platform, deployed AI-powered decision intelligence solutions, and embedded AI into everyday workflows across international markets. The session provides a practical blueprint for organizations looking to move beyond fragmented AI initiatives and scale AI across the enterprise. Attendees will gain insights into technology architecture, governance, operating models, organizational change, and adoption strategies that enable sustainable AI transformation. Rather than focusing on theory, the presentation highlights concrete implementation decisions, lessons learned, measurable business outcomes, and practical frameworks that participants can apply within their own organizations. Key Takeaways Participants will learn: How to move from isolated AI experiments to enterprise-wide AI adoption How data mesh principles can accelerate scalable AI deployment How to connect data platforms, AI applications, and business processes into a unified operating model How agentic AI can automate decision-making and operational workflows How to drive organizational adoption and build an AI-first culture How to measure AI success through business impact, productivity gains, and speed-to-decision metrics
Session time will be announced soon
AI Anxiety: Maintaining Autonomy and Purpose in the Era of Digital Gods
By Povilas Godliauskas Well-Being Psychologist Therapist and Researcher (Lithuania)

We are entering a new era in which an increasing number of individuals rely on AI chatbots and agents for information, advice, and even emotional support. Furthermore, there is growing discourse around the leaders of AI companies aiming to win the race to create an omniscient, omnipotent, and omnipresent AI “god” that could influence governance and politics. This raises the question of what the role of AI professionals is in this new era, where old gods are being replaced by technological ones. The goal of this presentation is to discuss the most recent data on AI anxiety, AI ambivalence, and related psychological challenges associated with the adoption of AI systems. Povilas Godliauskas will also provide psychological tools and techniques to help attendees maintain purpose and mental health in the face of these new psychological and societal challenges.
Session time will be announced soon
Scaling Code Quality with Multi-Agent Swarms
By Vikram Vaswani Developer Advocate (India)

"Development teams are seeing a rapid increase in code contributions, many of them generated with artificial intelligence (AI) tools, including pair-programming copilots. As the volume of AI-generated code increases, human reviewers can quickly become overwhelmed.The instinct to throw “an AI reviewer” at the problem often does not work. A single agent produces shallow comments, misses context, and flags either too many or too few issues, depending on how it is prompted.In this talk, Vikram Vaswani presents a more effective pattern, built and demonstrated from scratch: three specialised review agents working in parallel, followed by a developer agent that applies the fixes. One reviewer focuses on architecture, one on security, and one on test coverage. When all three finish, a fourth agent rewrites the code to address each issue and opens a new pull request (PR) for human sign-off.Attendees will leave with a concrete, working pattern they can adapt to their own projects and a clearer understanding of where AI can genuinely reduce review bottlenecks.BenefitsExplores multi-agent orchestration patterns rather than typical single-agent Model Context Protocol (MCP) interactions Provides developers with concrete patterns, including a shared file system and execution isolation, for designing swarm architectures Highlights failure modes in multi-agent systemsOutlineThe review bottleneck: why the growing volume of AI-generated code is overwhelming human reviewers Why a single AI reviewer does not work well The multi-agent pattern: three specialists and one developer agent The architecture How agents can collaborate without passing large blocks of context Limits, failure modes, and where humans must remain in the loop Live demonstration Question-and-answer (Q&A) sessionContextThis situation is real. For example, tldraw and Ghostty have stopped accepting contributions due to the high volume of AI slop. For additional context, the session references “Stop Closing the Door. Fix the House,” a blog post by Angie Jones, a maintainer of Block’s goose project, which has more than 300 external contributors:https://lnkd.in/exquiTP6?trk=public_post_reshare-textThe session also references Kelsey Hightower’s comment on the topic:https://www.linkedin.com/posts/kelsey-hightower-849b342b1_stop-closing-the-door-fix-the-house-angie-activity-7425980144877555712-Uedv"
Session time will be announced soon
How to Evaluate LLM Apps and AI Agents Before They Reach Production
By Eugene Sergueev Director of Engineering at Flo Health Inc (UK)

AI prototypes are easy to demo and surprisingly hard to trust. A copilot gives a convincing answer, an AI agent completes a workflow once, and a prompt looks better after a few tweaks - but how can a team know whether the system actually improved? How can it catch regressions, measure quality, control cost, and decide whether a new version is ready for production?In this practical session, Eugene Sergueev shows a step-by-step evaluation playbook for large language model (LLM) applications and AI agents. The talk focuses on moving from demo-driven AI development to a repeatable engineering process with real-world cases, quality rubrics, baselines, evaluation runs, thresholds, release gates, and production feedback loops.The session walks through a lightweight reference architecture that teams can adopt without building a large evaluation platform first. Eugene explains how to collect 20–50 representative real-world cases, define what “good” and “bad” mean, create a golden dataset, compare prompt, model, and agent versions, and detect regressions before they reach users.The talk also covers where rule-based checks, human review, and LLM-as-a-judge approaches work well - and where they fail. Eugene discusses how teams can use shadow runs, A/B tests, expert corrections, and production feedback to improve AI systems in small, measurable steps.Attendees will leave with a practical framework they can reuse in their own teams: an evaluation loop, a quality rubric structure, a release-readiness checklist, and a reference architecture for evaluating LLM-powered workflows and AI agents.The session is designed for engineers, AI practitioners, product engineering leaders, and platform teams who have already seen impressive AI demos and now need a way to make AI systems reliable, measurable, and safe enough for real production use.Additional relevant information:This is not a vendor or platform demo. The session focuses on practical engineering patterns that can be applied across different AI stacks: internal copilots, LLM-powered product features, document question-answering (QA) systems, AI-assisted development workflows, and tool-using agents.The talk is structured as a step-by-step implementation guide and includes:a lightweight evaluation loop for LLM apps and agents; an example structure for a golden dataset; a quality rubric for AI outputs; examples of metrics and thresholds; a release-readiness checklist; common anti-patterns when teams evaluate AI manually; guidance on where human review, automated checks, and LLM-based graders should be used.
Session time will be announced soon
Europe's AI Deployment Gap: Moving Sovereign and Industrial AI from Pilots to Production
By Klemensas Mecejus Executive Director at AI71 (UAE)

Klemensas Mecejus will present a practical case study session on why Europe's next AI race is not about model announcements, but about production workflows. Drawing on AI71 deployment work across government, construction, defense, telecom, and regulated enterprise sectors, the session explains how leaders move from pilots to governed, secure, and measurable AI operations. It covers workflow ownership, data access, cybersecurity, privacy, model risk approval, adoption, value capture, and the operating model required to industrialize sovereign and enterprise AI. Attendees will leave with a deployment checklist for selecting high-value workflows, preparing data and controls, aligning business and technical owners, and measuring whether AI is creating operational value rather than just producing demos.
Session time will be announced soon
Simplifying AI Complexity: Meet Naira, Your AI Engineering Hub
By Max Körbächer Chief Technology Advisor at Liquid Reply (Germany)

System landscapes are becoming increasingly complex. Teams place layer upon layer, abstracting away and hiding complexity. However, this creates new complexities that put engineering teams under significant strain and consume their mental capacity.AI does not fix this because it has to run somewhere. And it comes with its own complex ecosystem of tools needed to bring AI to life.In this session, Max Körbächer will introduce Naira, an open-source AI Engineering Hub that connects models, datasets, inference endpoints, MCP integrations, AI gateways, observability, documentation, and plugins across existing tools, so teams can understand, govern, and operate their AI landscape. Funded by the EU IPCEI-CIS initiative, it seamlessly integrates into Europe's initiatives for digital sovereignty, AI empowerment, and strengthening transparency in AI usage.Through an extensive plugin system, Naira is designed to connect with anything needed to build an AI-serving, tuning, and operating platform. It aims to reduce AI engineers' cognitive load, simplify workflows by reducing tool jumps, and provide transparency across an ever-growing landscape.
Session time will be announced soon
Give Life to Your Organization and Superpower Your Team
By Stefan Chiriacescu Co-founder of eCommerce Today Agency (Romania)

Most organizations have given their people artificial intelligence (AI) tools and called it a strategy. The licenses are paid for. The output is generic. The transformation never came. The missing piece is not a better tool. It is organizational voice - the ability to encode who an organization is, how it thinks, and what it stands for directly into every AI assistant its team uses daily.Stefan Chiriacescu built that system from scratch. The result: an 11× revenue increase, a team that moved from execution to strategy, and a 30-person organization operating with the output of an organization three times its size.In this session, Stefan Chiriacescu will show attendees the live architecture behind that outcome - how to give AI systems a real organizational identity, how to map intelligence across every department, and how to turn every employee into the most capable version of themselves.Not a concept. Not a demo. A working system attendees can replicate by Monday.
Session time will be announced soon
The Bill Comes Later: The Hidden Tech Debt of Shipping with AI
By Alex Ponomarev CEO of Volt (Portugal)

The decisions that look free today can become expensive in six months - and AI accelerates the process at exactly the moment when the bill is quietly written. This talk is about that trade-off. The friction that vibe coding removes used to be where feasibility and constraints were discussed, so implicit decisions are made by the model instead. In this talk, Alex Ponomarev covers where “free now” turns into “costly later”: blurred guardrails, code shipped without understanding its structure, and verification deferred. He shows how to price that deferred bill up front - by choosing which decisions to log and which to keep reversible. AI does not eliminate technical debt. It issues it faster and bills it on a delay.
Session time will be announced soon
Building Your Agent Team: Skills, MCP, and Orchestration in Practice
By Aurimas Paulius Girčys CEO of APG MEDIA (Lithuania)

Adopting AI agents is one thing. Building a team of them that actually runs an organization’s work is another. Once an organization makes the leap from conversational AI to autonomous agents, the next question arrives quickly: how does a team move from a single agent doing one task to a coordinated system that handles entire functions of a business, end-to-end? This hands-on session addresses that question. Drawing on years of building APG Media as an AI-first agency - with a library of custom skills, Model Context Protocol (MCP) servers connecting agents to live tools, and orchestration loops running across more than 70 clients - Aurimas Paulius Girčys opens up the actual machinery behind a working multi-agent operation. Attendees will see how a single instruction becomes a plan, how that plan is decomposed and delegated to specialized sub-agents, each with its own context, tools, and a narrow job, and where humans stay in the loop and why. This is not a product demo. It is the architecture, the patterns, and the hard-won lessons of someone who builds these systems for a living - including what breaks, what is worth automating, and what absolutely is not. Aurimas Paulius Girčys covers skills as reusable building blocks, why a skill library, not a user interface, is the real asset, what MCP actually does to give agents “hands,” the orchestration pattern that separates planning from execution, and how to place approval checkpoints so that teams gain speed without losing control or accountability. For technical operators, founders, and builders who have already adopted agents and now want to architect a coordinated system rather than a pile of one-off automations, this session is the blueprint for going from a clever automation to infrastructure that a business can run on.
Session time will be announced soon
What Happens When You Deploy AI to Children Without a Single Long-Term Neuroscientific Study
By Dr. Kostyantyn Rybachuk Education Researcher and Author (Slovakia)

Dr. Rybachuk draws a direct parallel with pharmaceutical regulation: no drug company could distribute a product affecting brain development in 450 million children without long-term clinical trials. Yet this is precisely what is happening with educational AI today. The talk presents the case for neuroscience-based regulatory frameworks for EdTech, proposes a certification model analogous to pharmaceutical oversight, and offers a practical roadmap for developers and policymakers who want to act before legislation forces them to.
Session time will be announced soon
Advertising Inside the Answer: LLM Ads Guide for Brands
By Kotryna Kurt Founder of Linkedist (Lithuania)

What happens when an ad does not sit next to the content, but inside the answer itself? In this talk, Kotryna Kurt will break down how large language model (LLM)-powered ads, such as ChatGPT-style ads, change the rules of targeting, creative, and measurement for brands whose advertising strategies have been built around search, social, and display. She will walk through real scenarios of how conversations become inventory, what “intent” looks like in a chat interface, and how brands can show up without seeming intrusive or interruptive.
Session time will be announced soon
How AI distorted my English… and how I got it back
By Malcolm Stewart Partner at First Impression Consulting (Lithuania)

English is a second language for most tech professionals in Europe. For Malcolm Stewart, English is his native language, but even he has witnessed it deteriorate and morph into something uncanny. In this talk, Malcolm Stewart shares the story of how he got his language back, offering tips and tricks on how to make AI-generated content sound authentic and on-brand.
Session time will be announced soon
The Great Marketing Re-Merge: AI, Integration, and the Return of Branding
By Marty Weintraub Founder of AIMCLEAR (USA)

For thirty years, the web has split marketing into specialist silos, with organic search, paid media, public relations (PR), customer relationship management (CRM), and analytics each running its own team, budget, and dashboard. Artificial intelligence is now welding those silos back into one practice, because search engines, answer engines, ad surfaces, and buyer-facing agents all resolve to a single question about a company: can the machine read, trust, and cite the brand, and do real people feel warmly enough toward it to be quoted approvingly? The answer resolves to the oldest asset in the business: positive sentiment that converts to sales, running under the name marketers used before the web: branding.In this talk, Marty Weintraub walks attendees through the full board he tracks every day, showing how organic, paid, PR, platforms, and measurement have quietly fused into one integrated discipline, and how the teams that govern brand facts as a shared source of truth will out-earn the federated teams still arguing over which budget should fund the work. Attendees will leave with a working model for running marketing as one connected system built for humans and machines at once.Attendees will leave able to:Map the five converging lanes of organic, paid, PR, platforms, and measurement as facets of one integrated brand system. Build a single source of truth for brand facts so automated systems broadcast a clean, consistent signal. Read brand-era metrics like share of voice, sentiment, and citation persistence alongside clicks to prove the sentiment-to-sales loop still closes. Assign clear ownership for brand truth across the organizational chart before the next platform shift forces the decision. Turn earned coverage and third-party validation into citation infrastructure that models can quote back to buyers.
Session time will be announced soon
Every company becomes an AI company. Or a former one.
By Šarūnas Chomentauskas CEO at Exacaster (Lithuania)

In ten years, will a company still exist - or only the version of it that survived AI? AI does not add to what a business does. It rewrites how that business creates value. One person with AI can now do the work of ten, and the bottleneck is no longer skill - it is the organisation. The companies that move first take the market. The ones that wait become the market.Drawing on his own live company rebuild, Šarūnas Chomentauskas walks attendees through six principles that define an AI-native operating model, including integrated delivery that lets one person own end-to-end work; specialist functions as horizontal slices, not silos; and AI as the new professional service. Each principle is grounded in what worked, what broke, and what it cost. Attendees leave with a blueprint for the next decade - and a clearer view of which side of the line their company is on.
Session time will be announced soon
Making AI Tokens the New Telco Currency: Learnings for Global Operators
By Stephen Douglas Head of Market Strategy at Spirent Communications (UK)

Telecommunications operators in the Asia-Pacific (APAC) region are beginning to treat artificial intelligence (AI) tokens as billable allowances, much like gigabytes of mobile data or minutes of voice. This session will explore what this emerging “AI token economy” means for telecommunications operators, why the APAC model matters, and how Western operators can adapt the concept for enterprise, sovereign, and regulated AI services.The APAC market shows how operators can move beyond simply carrying AI traffic and begin packaging, rating, bundling, and billing for access to intelligence. By offering AI usage allowances to consumers, households, developers, small and medium-sized enterprises (SMEs), and larger enterprises, operators are positioning tokens as a recurring unit of consumption. However, this model does not transfer directly to Western markets, where consumers already access AI through global applications, hyperscalers, and device-native assistants. For many operators, the stronger opportunity is likely to be in business-to-business (B2B) services, including private inference, AI factories, graphics processing unit as a service (GPUaaS), sovereign AI platforms, edge AI, and AI model marketplaces.The presentation will also focus on a critical technical and commercial issue: token visibility. Operators cannot reliably count AI tokens from encrypted network traffic alone; authoritative usage records must come from the AI gateway, model platform, marketplace, or provider settlement layer. This creates a strategic choice: remain a connectivity provider or move into the AI service control plane.Stephen Douglas will also examine why AI-native key performance indicators (KPIs) are becoming essential. Traditional measures such as latency, throughput, and availability remain important, but the AI experience depends on new metrics, including time to first token, inter-token latency, tokens per second, task completion time, cost per token, tokens per watt, and tool-call latency. These metrics will shape assurance, service-level agreement (SLA) management, and monetisation models.Attendees will leave with practical insights into three telecommunications AI monetisation models: connectivity-only services, AI assurance, and AI service brokerage. The core message is clear: APAC is making tokens the new gigabyte; Western operators could follow suit or position tokens as the new cloud consumption unit.
Session time will be announced soon
AI-Powered Commercial Diplomacy: Winning Government Partnerships in Europe
By Alistair Starling Co-Founder of European Diplomats

Governments are among the world’s largest purchasers of technology and innovation, yet many organisations continue to approach them using traditional business-to-business (B2B) sales strategies that rarely succeed. Drawing on more than three decades of experience spanning diplomacy, government relations, international business development, and AI-supported stakeholder engagement, Alistair Starling presents a practical framework for building successful business-to-government (B2G) relationships across Europe. The session introduces the European Diplomats methodology for AI-powered commercial diplomacy - a structured approach that combines stakeholder mapping, policy intelligence, relationship architecture, and strategic engagement planning. Participants will learn how AI can accelerate the identification of key decision-makers, analyse complex institutional ecosystems, monitor policy developments, prioritise engagement opportunities, and strengthen long-term relationships with governments rather than relying on transactional sales. Rather than focusing solely on procurement, the presentation demonstrates how organisations can engage at an earlier stage within policy, regulatory, and innovation ecosystems, allowing them to become trusted partners before procurement processes even begin. Using practical examples from education, digital transformation, AI adoption, international partnerships, and government engagement across Europe, the session demonstrates how organisations have reduced time to engagement, improved stakeholder targeting, strengthened institutional partnerships, and expanded access to public-sector opportunities. Attendees will leave with a practical framework, an implementation roadmap, a stakeholder-mapping methodology, and an AI-supported workflow, all of which can be applied immediately within their own organisations.
Session time will be announced soon
The Culture of Purpose: How to Communicate in an Age of Intelligence
By Pascal Wiscour – Conter Community Engagement & Development Officer at Luxembourg School of Business (Luxembourg)

Pascal Wiscour-Conter explains that society has entered an era of exponential change, with multiple technologies disrupting how people live and work. The most notable and widely discussed of these, artificial intelligence (AI), affects how people communicate and, as Pascal argues, will “inherently force us to become human... again.”In a hyper-connected, noisy world, people can choose to use “Creative AI” intentionally, harnessing AI as a productivity and creativity tool, instead of passively engaging in “Lazy AI.” As technological developments accelerate, people can learn to overcome the “cognitive gap” and leverage their unique metaskills to reach new heights while communicating more effectively.Based on research in various fields, including neuroscience and epigenetics, it is possible to codify the process of crafting and applying meaningful storytelling, including within corporations. When vision, mission, value proposition, and culture are aligned, communication can maximise engagement, both externally with clients and internally with collaborators.A “Story Guide” helps craft this “Corporate DNA” and incorporate it into all corporate communications. AI agents can be trained and used in a “writers’ room” setup to facilitate and enhance the process.However, human creativity and curiosity cannot be replaced. AI can and should be used to enhance them meaningfully for the greater good.
Session time will be announced soon
How a Mid-Market Consultancy Shipped 500+ Code Stories with Zero Developers
By Thibault Fritsch Founder & CEO at Robinswood (France)

Most organizations measure artificial intelligence (AI) success by the number of processes automated. Robinswood, a French mid-market consultancy, took a radically different approach: it built Night Agent, an autonomous AI system that writes, tests, and deploys production code without human developers.In this session, Thibault Fritsch shares concrete metrics from 18 months of operating Night Agent in production, including 513 code stories delivered, deployment frequency, defect rates, and total cost of ownership compared with that of traditional development teams.Attendees will learn how to design AI agent architectures that scale from prototype to production, apply a measurement framework to assess AI-generated code quality and business impact, address real failure modes and implement recovery patterns when running autonomous agents at scale, and determine when AI agents outperform human developers - and when they do not.
Session time will be announced soon
How to Preserve Human Decision-Making in AI-Driven Creative Systems
By Marco Gentile Director at Magma Studios (Portugal)

In artificial intelligence (AI)-driven environments, creative and strategic decisions are increasingly shaped by predictive systems that anticipate and pre-structure outcomes. While these systems accelerate execution, they also risk eroding authorship, accountability, and trust.This talk introduces a practical framework for preserving human decision-making in environments where content, ideas, and strategies can be generated at scale. Drawing on real-world experience in filmmaking and global brand communication, Marco Gentile explores how organizations can integrate AI without delegating responsibility.Participants will leave with five concrete principles for using AI in creative and strategic processes, ensuring that automation enhances execution while preserving the human capacity to define meaning, make decisions, and remain accountable for outcomes.
Session time will be announced soon
Building AI Governance: A Practical Architecture for Regulated Organisations
By Glen Rai Founder of Responsible AI Governance Architecture (Estonia)

This session presents a practical architecture for governing decision systems supported by artificial intelligence (AI) in regulated organisations. Using a realistic enterprise case, such as AI-assisted recruitment screening, credit risk support, insurance claims triage, or customer service escalation, Glen Rai will show how an organisation can move from informal AI adoption to a structured governance model.The session will guide participants through a step-by-step method for mapping AI influence, assigning ownership, categorising risk by tier, designing human oversight, setting review gates, managing vendor dependencies, and building an evidence ledger that can support audits, assurance, and internal accountability. The emphasis is on implementation: what should be documented, who should be accountable, when a system should be reviewed, and how governance can be maintained after deployment.Participants will leave with a reusable decision-system canvas, risk-tiering criteria, a governance-gate model, an evidence-ledger structure, and a 90-day roadmap for initiating AI governance in their own organisations.The session will also briefly reference TIRA, an emerging implementation layer developed from this architecture, showing how these governance steps can be translated into a structured workflow for AI inventories, risk reviews, evidence capture, and readiness reporting.This is a how-to session for organisations that need AI governance to become practical, repeatable, and capable of withstanding audits, scaling effectively, and operating under real-world pressure.
Session time will be announced soon
Search over enterprise data with agents: Search Index vs LLM Wiki vs Agentic Search
By Ina Koleva Product Manager at Mistral AI (France)

This session will break down what “search” actually means in the agentic era, in which retrieval is no longer a single lookup but a chain of reasoning over context. Ina Koleva will present a practical framework for choosing between three main search approaches—traditional indexes, large language model (LLM)-curated wikis, and fully agentic search—based on latency and accuracy requirements, as well as data format and scale.Choosing the wrong search architecture can cost enterprises speed, accuracy, or both. Drawing on hands-on experience in applied artificial intelligence (AI) and product management, Ina Koleva, Product Manager at Mistral AI, will explain different approaches to grounding agents in enterprise data.
Session time will be announced soon
From Pilot to Production: Running Enterprise AI Across 12 Markets
By Vedran Bajer General Manager for Baltics, Hungary and Adriatics at Wonderful (Israel)

Most enterprises remain stuck in the demo phase: 88% of companies use artificial intelligence (AI) in at least one function, yet 94% see no measurable value from it (McKinsey, 2025). The gap is rarely the models themselves - it is everything around them: data access, legacy integration, language coverage, and organisational readiness.Vedran Bajer leads Wonderful’s deployments across 12 markets in one of Europe’s most linguistically diverse and regulatorily complex regions, including deployments for companies in Lithuania, Latvia, and Estonia. In this session, he explains what production looks like at scale: how deployments move from contract signing to production in weeks, why mature systems achieve automation rates above 80% and approximately 64% end-to-end resolution, compared with an industry average of around 3%, and what breaks first when a single-market pilot becomes a multi-market operation.Attendees will leave with a concrete deployment checklist drawn from real-world enterprise implementations—a practitioner’s view from the ground.

Your ticket also includes access to Big Data Conference Europe 2026. Explore AI Summit sessions above, or view all event sessions for deeper technical content on data engineering, analytics, cloud, machine learning, and AI systems.

Top 4 Sessions

Preview Top Sessions of the Latest Edition

Take a look back at the highlights of AI Summit Europe 2026 in Riga with four the most popular sessions! Featuring industry leaders like Kalle Sirkesalo, Jerzy Biernacki, Aistis Raudys, and Dorka Nagy Jozsa these standout talks showcased breakthrough ideas and practical insights. Enjoy watching and uncover the strategies, tactics, and innovations that stole the show and left attendees inspired.

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AI Summit Party

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November 26 • Time TBA • Summit Venue

✔️ Network & Connect

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Exclusive Evening Event

AI Summit Party

Experience the summit on a high note! Join us for an unforgettable evening of networking, entertainment, and celebration as we toast to the future of AI.

November 26 • Time TBA • Summit Venue

✔️ Network & Connect

✔️ Enjoy Complimentary Drinks

✔️ Play Board Games

✔️ Take Professional Photos

✔️ Enjoy DJ Music

Two-in-One Event

One Ticket. Two Conferences. More Value

Your AI Summit Europe 2026 ticket also gives you access to Big Data Conference Europe 2026 — taking place at the same venue and dates in Vilnius. Explore AI strategy, implementation, business transformation, data engineering, analytics, cloud, machine learning, and real-world use cases with one pass.

Registration

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Join AI Summit Europe 2026 and unlock the future of artificial intelligence. Select the ticket that fits your schedule — from one day of focused insights, to the core conference experience, or full access to all three days. Bringing a team of 10 or more? Enjoy an additional 15% off the current ticket price.

3-Day Onsite Ticket (Nov 25-27)

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4-Day Full Ticket (Nov 24-27)

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3-Day Online Ticket (Nov 25-27)

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For group discounts or any questions, contact us at tickets@aisummiteurope.eu or call +370 618 00999.

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Discover the ultimate conference experience with our all-in-one package, which includes your conference ticket and a delightful hotel reservation in the heart of Vilnius. Choose from top-notch hotels strategically located near the conference venue, and at checkout, customize your stay by selecting your preferred hotel, tailored to your needs and preferences.

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FAQ

Frequently Asked Questions

Who should attend the AI Summit Europe?

The event is designed for AI business leaders, AI vendors, policymakers, entrepreneurs, and anyone interested in the future of AI and its impact on business.

Where the summit will take place?

The summit workshops (November 24) will take place in SIMBIOCITY Nova (V. Gerulaičio g. 10, 08200 Vilnius) and the sessions (November 25-27) will take place in Forum Cinema Vingis (Savanoriu pr. 7, Vilnius).

Are there discounts for groups?

Yes! For groups of 5+ participants, proforma invoices or any other questions related to ticket purchase write us at tickets@aisummiteurope.eu or call +37061800999.

Are there networking opportunities?

Absolutely! The AI Summit Europe Party is the ideal place to network and build the right connections in a fun and informal atmosphere.

Can I submit a CFP for the AI Summit Europe?

Yes, we’re accepting speaker proposals from industry professionals and thought leaders. You can submit your CFP here.

Does my AI Summit Europe ticket include Big Data Conference Europe?

Yes. Your AI Summit Europe 2026 ticket gives you access to both AI Summit Europe 2026 and Big Data Conference Europe 2026 sessions taking place on November 24–27.

Turning

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AI Summit Europe 2025

Where European business leaders, innovators, and decision-makers converge to transform artificial intelligence from concept to competitive advantage.

Turning

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AI Summit Europe 2026

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Hear From Keynotes on the Main Stage

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Speakers of AI Summit Europe 2026

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