Data Science Conference Europe 26 100 events
Registration (Room A)

Registration (Room A)

Format: REGISTRATION Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B Additional location: ROOM C

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Registration (Room B)

Registration (Room B)

Format: REGISTRATION Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B Additional location: ROOM C

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Registration (Room C)

Registration (Room C)

Format: REGISTRATION Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B Additional location: ROOM C

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Registration

Registration

Format: REGISTRATION Location: CO-LOCATED Level: All levels Audience: Registered participants

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Official Opening

Official Opening

Additional session information will be announced progressively. Format: OFFICIAL OPENING Location: ROOM A Level: All levels Audience: Registered participants

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Keynote

Keynote

Additional session information will be announced progressively. Format: KEYNOTE Location: ROOM A Level: All levels Audience: Registered participants

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Governance That Ships: Operationalizing Responsible AI in Behavioral-Health EHR

Governance That Ships: Operationalizing Responsible AI in Behavioral-Health EHR

Healthcare AI governance, human oversight, and deployment-ready compliance. Format: BUSINESS TALK Location: CO-LOCATED Speakers: Daniela Atanasovska Level: Intermediate Audience…

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Talk to Your Data - A Semantic Layer Meets Agentic Graph-RAG for Conversational Analytics

Talk to Your Data - A Semantic Layer Meets Agentic Graph-RAG for Conversational Analytics

Getting an LLM to answer real business questions over a data warehouse isn't a SQL problem — it's a meaning problem: which of your hundreds of tables does "margin on Milano Fash…

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The 80/20 Rule of Sovereign AI: Sizing and Architecting Local Kubernetes Inference

The 80/20 Rule of Sovereign AI: Sizing and Architecting Local Kubernetes Inference

Defaulting to cloud AI APIs leads to spiraling bills and compliance risks. Rushing a local migration with a day-one terraform apply on cloud GPUs is just as dangerous. Without a…

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TBA

TBA

Speaker information will be announced progressively. Format: FIRESIDE CHAT Location: ROOM A Level: All levels Audience: Registered participants

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Data, Trust & AI: Reinventing the Digital DNA of Modern Healthcare.

Data, Trust & AI: Reinventing the Digital DNA of Modern Healthcare.

Digital trust, cybersecurity, AI governance, and the transformation of healthcare systems. Format: BUSINESS TALK Location: CO-LOCATED Speakers: Djallal Bouabdallah Level: Interm…

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From CERN to the Enterprise: Building a Trusted Data Foundation Across 100+ Source Systems and Why AI Agents Depend on It

From CERN to the Enterprise: Building a Trusted Data Foundation Across 100+ Source Systems and Why AI Agents Depend on It

What do particle physics experiments and enterprise AI platforms have in common? One probes the fundamental laws of the universe; the other powers everyday business decisions ac…

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Buy or Build AI? Wrong First Question.

Buy or Build AI? Wrong First Question.

The Four Levels of AI Investment, and Where Your 2027 Budget Should Go Format: SESSION Location: ROOM C Speakers: Dusan Stamenkovic Level: All levels Audience: Registered partic…

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TBA

TBA

Speaker information will be announced progressively. Format: FIRESIDE CHAT Location: ROOM A Level: All levels Audience: Registered participants

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Coffee Break (Room A)

Coffee Break (Room A)

Format: COFFEE BREAK Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B

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Coffee Break (Room B)

Coffee Break (Room B)

Format: COFFEE BREAK Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B

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The Revenue Layer: What Actually Turns Data and AI Into Money

The Revenue Layer: What Actually Turns Data and AI Into Money

Every company now has data and AI. Almost none have turned either into a repeatable commercial result. The gap is not the model - it is the system around it: how you are positio…

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Coffee Break (Co-located)

Coffee Break (Co-located)

Format: COFFEE BREAK Location: CO-LOCATED Level: All levels Audience: Registered participants Additional location: ROOM C

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Coffee Break (Room C)

Coffee Break (Room C)

Format: COFFEE BREAK Location: CO-LOCATED Level: All levels Audience: Registered participants Additional location: ROOM C

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TBA

TBA

Speaker information will be announced progressively. Format: FIRESIDE CHAT Location: ROOM A Level: All levels Audience: Registered participants

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TBA (Co-located)

TBA (Co-located)

Additional session information will be announced progressively. Format: SESSION Location: CO-LOCATED Level: All levels Audience: Registered participants Additional location: ROOM A

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TBA (Room A)

TBA (Room A)

Additional session information will be announced progressively. Format: SESSION Location: CO-LOCATED Level: All levels Audience: Registered participants Additional location: ROOM A

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Keynote

Keynote

Additional session information will be announced progressively. Format: KEYNOTE Location: ROOM C Level: All levels Audience: Registered participants

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What AI Can't Hear. Humanity in Healthcare in the Age of AI

What AI Can't Hear. Humanity in Healthcare in the Age of AI

Health AI learns from what is recorded; this keynote examines the human context that data can miss. Format: KEYNOTE Location: CO-LOCATED Speakers: Roi Shternin Level: All levels…

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Keynote (Room A)

Keynote (Room A)

Additional session information will be announced progressively. Format: KEYNOTE Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM C

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Keynote (Room C)

Keynote (Room C)

Additional session information will be announced progressively. Format: KEYNOTE Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM C

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TBA

TBA

Additional session information will be announced progressively. Format: KEYNOTE Location: CO-LOCATED Level: All levels Audience: Registered participants

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Lunch Break (Room A)

Lunch Break (Room A)

Format: LUNCH BREAK Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B Additional location: ROOM C

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Lunch Break (Room B)

Lunch Break (Room B)

Format: LUNCH BREAK Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B Additional location: ROOM C

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Lunch Break (Room C)

Lunch Break (Room C)

Format: LUNCH BREAK Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B Additional location: ROOM C

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Lunch Break

Lunch Break

Format: LUNCH BREAK Location: CO-LOCATED Level: All levels Audience: Registered participants

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AI Changed the Game: Building the Future of AI-Native Engineering

AI Changed the Game: Building the Future of AI-Native Engineering

What happens when AI moves beyond coding assistance and becomes part of the engineering team? At AMD, AI is helping accelerate everything from software development and testing t…

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The Real Danger in AI Isn't Artificial - Optimizing for the Wrong Intelligence

The Real Danger in AI Isn't Artificial - Optimizing for the Wrong Intelligence

Every institution we've ever built to be fair and truth-seeking has rotted from the inside, because the same brain that dreams of meritocracy also schemes for power. Now we're b…

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From AI Adoption to AI-Native Enterprise: Redesigning Engineering for the AI Era

From AI Adoption to AI-Native Enterprise: Redesigning Engineering for the AI Era

The next competitive advantage won't come from adopting more AI tools it will come from redesigning how engineering works. This session explores the shift from AI-assisted devel…

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TBA

TBA

Additional session information will be announced progressively. Format: PANEL Location: CO-LOCATED Level: All levels Audience: Registered participants

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Engineering the Self-Evolving Knowledge Layers from Enterprise Agentic AI Gold Mines

Engineering the Self-Evolving Knowledge Layers from Enterprise Agentic AI Gold Mines

Enterprise agentic systems generate a largely untapped gold mine of behavioral data, interactions, and operational context that can be transformed into continuously evolving kno…

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How Tools Help And Complicate Visual Agents

How Tools Help And Complicate Visual Agents

Giving a vision-language model access to image search, image processing, or Python seems like a straightforward way to expand its capabilities. In practice, turning these tools…

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Metrics That Survive Contact with 1,000+ Software Engineers: Measuring AI Across the SDLC

Metrics That Survive Contact with 1,000+ Software Engineers: Measuring AI Across the SDLC

Everyone is rolling out AI across the SDLC — almost no one can prove it works. Adoption dashboards glow green, demos impress leadership, and yet nobody can say whether AI is act…

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When the Codebase Lies: Using AI Agents on a System Nobody Fully Understands

When the Codebase Lies: Using AI Agents on a System Nobody Fully Understands

Azure Capacity engineering operates at a scale where no human team can hold the full system in their head. Hundreds of Power BI reports. Dozens of data pipelines. Years of accum…

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Who Decides if AI Code is Correct? Verification as the New Software Engineering

Who Decides if AI Code is Correct? Verification as the New Software Engineering

AI is writing code faster than engineering teams can verify whether it’s safe to deploy. The core bottleneck in software development has shifted: it is no longer "who will write…

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AI and Cognitive Offloading: What Are We Saving Our Minds For

AI and Cognitive Offloading: What Are We Saving Our Minds For

A practical look at how AI-assisted work affects learning, autonomy, stress, and human capability. Format: TALK Location: CO-LOCATED Speakers: Ilya Zakharov Level: All levels Au…

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Coffee Break

Coffee Break

Format: COFFEE BREAK Location: ROOM C Level: All levels Audience: Registered participants

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Coffee Break (Room A)

Coffee Break (Room A)

Format: COFFEE BREAK Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B

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Coffee Break (Room B)

Coffee Break (Room B)

Format: COFFEE BREAK Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B

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Coffee Break

Coffee Break

Format: COFFEE BREAK Location: CO-LOCATED Level: All levels Audience: Registered participants

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When There's No Right Answer, We Ask a Model to Grade It Anyway

When There's No Right Answer, We Ask a Model to Grade It Anyway

Most quality checks work by comparing an output to a known correct answer. In private markets, that correct answer often doesn't exist — a valuation is somebody's judgment call,…

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Beyond Auto-Code Gen: Building Production-Grade Data Science Agents with Tabular Foundation Models

Beyond Auto-Code Gen: Building Production-Grade Data Science Agents with Tabular Foundation Models

When autonomous AI agents are tasked with tabular prediction problems, whether forecasting sales, predicting churn, or detecting fraud, they almost always follow a flawed playbo…

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Profiling AI Workloads, and Beyond, with ROCm Systems Profiler

Profiling AI Workloads, and Beyond, with ROCm Systems Profiler

In the race to build and serve AI, every hardware optimization counts, and you can only optimize what you can see. This talk covers the core tracing capabilities of ROCm Systems…

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Generating Synthetic PPG Waveforms with Advanced Physiological Modelling

Generating Synthetic PPG Waveforms with Advanced Physiological Modelling

Synthetic physiological signals for wearable monitoring, algorithm benchmarking, and biomedical ML research. Format: TECHNICAL TALK, RESEARCH TALK Location: CO-LOCATED Speakers:…

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Support Desk Automation: How AI Took the Worst Job Away

Support Desk Automation: How AI Took the Worst Job Away

For years, support and maintenance was the job nobody wanted — and somehow it always ended up on the desk of the engineer who was best at solving problems. In one B2B software b…

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Beyond Text: Building Multimodal RAG Agents That Read, Reason, and Retrieve

Beyond Text: Building Multimodal RAG Agents That Read, Reason, and Retrieve

Most production RAG systems remain stubbornly text-centric - yet the documents, dashboards, and data stores that enterprises rely on are richly multimodal. A single PDF might in…

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Registration (Co-located)

Registration (Co-located)

Format: REGISTRATION Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B Additional location: ROOM C Additional location: CO-LOCATED

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Registration (Room A)

Registration (Room A)

Format: REGISTRATION Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B Additional location: ROOM C Additional location: CO-LOCATED

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Registration (Room B)

Registration (Room B)

Format: REGISTRATION Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B Additional location: ROOM C Additional location: CO-LOCATED

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Registration (Room C)

Registration (Room C)

Format: REGISTRATION Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B Additional location: ROOM C Additional location: CO-LOCATED

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The Form Wearing a Chat Interface: When the LLM Is Pure Attack Surface

The Form Wearing a Chat Interface: When the LLM Is Pure Attack Surface

We designed the LLM out of a flagship AI feature and it got better. This talk is the argument for that decision, made honestly. When a decision rests on server-side evidence rat…

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Your Agent's Problem Isn't the Model - It's the Knowledge Layer

Your Agent's Problem Isn't the Model - It's the Knowledge Layer

Most enterprise agent projects bolt an LLM onto a data lake, let it query raw sources live, and then act surprised when the thing is slow, wrong, and impossible to audit. The mo…

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Design, Product & Business with AI

Design, Product & Business with AI

How does AI change the way we design, build, and monetize products? This session dives into the intersection of Design, Product Management, and Business Strategy in the age of A…

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Cybersecurity Economics in the Age of AI

Cybersecurity Economics in the Age of AI

How AI and security compete for budget, attention, and organisational priority. Format: TRANSFORMATIONAL TALK Location: CO-LOCATED Speakers: Mayo Takeuchi Level: Beginner to Int…

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Multi Node LLM Serving at Production RPS

Multi Node LLM Serving at Production RPS

Serving an LLM on one or two GPUs can look like a model-server problem. At that size, most tuning happens inside one inference engine: batching behavior, scheduler settings, ten…

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Building the Enterprise Layer Between LLM Providers, AI Agents, and Employees

Building the Enterprise Layer Between LLM Providers, AI Agents, and Employees

Somewhere between the model providers upstream and the people and agents consuming them downstream, a new layer has quietly become mandatory. You can stick to a single vendor an…

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The Missing Layer of AI Transformation: The Company AI Is Waiting For

The Missing Layer of AI Transformation: The Company AI Is Waiting For

Some organizations will use AI. Others will be reshaped by it. The difference lies in a layer most leaders have not discovered yet. Format: SESSION Location: ROOM C Speakers: Ma…

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Multi-Message LLM Attacks: How They Break Safeguards, Their Taxonomy & What Happens Inside the Model

Multi-Message LLM Attacks: How They Break Safeguards, Their Taxonomy & What Happens Inside the Model

A technical view of multi-message LLM attacks, safety bypasses, and conversation-level detection. Format: TECHNICAL TALK, RESEARCH TALK Location: CO-LOCATED Speakers: Or Soffer…

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Ask It Twice: The Rewrites Between a Convincing Demo and a System That Agrees with Itself

Ask It Twice: The Rewrites Between a Convincing Demo and a System That Agrees with Itself

Our first natural-language analytics system was five LLM calls in a trench coat, and it demoed beautifully, until someone asked the same question twice and got two different ans…

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Your Next User Isn't Human: Building for the Agentic World in Python

Your Next User Isn't Human: Building for the Agentic World in Python

Somewhere right now, an AI agent is trying to use your software. It is reading your documentation, calling your API, and sometimes scraping your UI when there is no better optio…

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Are We Deploying AI and Hoping for Impact? It’s Time to Put Adoption First

Are We Deploying AI and Hoping for Impact? It’s Time to Put Adoption First

Additional session information will be announced progressively. Format: SESSION Location: ROOM C Speakers: Mirna Malaeb Level: All levels Audience: Registered participants

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Coffee Break (Co-located)

Coffee Break (Co-located)

Format: COFFEE BREAK Location: CO-LOCATED Level: All levels Audience: Registered participants Additional location: ROOM C

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Coffee Break (Room C)

Coffee Break (Room C)

Format: COFFEE BREAK Location: CO-LOCATED Level: All levels Audience: Registered participants Additional location: ROOM C

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The Missing Layer in Enterprise AI: How Context, Content and Agents Turn LLMs Into Real Business Systems

The Missing Layer in Enterprise AI: How Context, Content and Agents Turn LLMs Into Real Business Systems

Most companies have access to a large language model, but very few have built enterprise AI they can actually rely on. In this session, we explore the missing layer: your own bu…

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Scaling Agents: From AI Experimentation to an Engineering Operating Model

Scaling Agents: From AI Experimentation to an Engineering Operating Model

Ad hoc usage of developer AI tools hits an operational wall quickly—fragmented local setups, unstandardized context, and code review bottlenecks create friction instead of veloc…

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TBA

TBA

Additional session information will be announced progressively. Format: KEYNOTE Location: CO-LOCATED Level: All levels Audience: Registered participants

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Coffee Break (Room A)

Coffee Break (Room A)

Format: COFFEE BREAK Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B

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Coffee Break (Room B)

Coffee Break (Room B)

Format: COFFEE BREAK Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B

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Keynote

Keynote

Additional session information will be announced progressively. Format: KEYNOTE Location: ROOM C Level: All levels Audience: Registered participants

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TBA

TBA

Additional session information will be announced progressively. Format: KEYNOTE Location: ROOM A Speakers: Nemanja Petrovic Level: All levels Audience: Registered participants

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TBA

TBA

Additional session information will be announced progressively. Format: KEYNOTE Location: CO-LOCATED Level: All levels Audience: Registered participants

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AI-Ready Data is the Foundation for AI Maturity

AI-Ready Data is the Foundation for AI Maturity

This session will discuss why AI-ready data is a paramount for executives to increase the AI maturity of their organizations. It will explain the key concepts of AI-readiness, i…

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TBA

TBA

Additional session information will be announced progressively. Format: KEYNOTE Location: ROOM A Speakers: Santosh Nair Level: All levels Audience: Registered participants

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Lunch Break (Co-located)

Lunch Break (Co-located)

Format: LUNCH BREAK Location: CO-LOCATED Level: All levels Audience: Registered participants Additional location: ROOM C

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Lunch Break (Room C)

Lunch Break (Room C)

Format: LUNCH BREAK Location: CO-LOCATED Level: All levels Audience: Registered participants Additional location: ROOM C

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Lunch Break (Room A)

Lunch Break (Room A)

Format: LUNCH BREAK Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B

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Lunch Break (Room B)

Lunch Break (Room B)

Format: LUNCH BREAK Location: ROOM A Level: All levels Audience: Registered participants Additional location: ROOM B

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TBA

TBA

Additional session information will be announced progressively. Format: PANEL Location: CO-LOCATED Level: All levels Audience: Registered participants

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From Ethics to Execution: AI as a Business Reality

From Ethics to Execution: AI as a Business Reality

Artificial intelligence is no longer a vision of the future but a practical business tool that is transforming how organizations operate, make decisions, and create value. Howev…

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Next Gen AI Computer Architecture: Beyond GPUs

Next Gen AI Computer Architecture: Beyond GPUs

The demands on AI compute are changing faster than traditional hardware can keep up. Tenstorrent is taking a different approach: building AI systems around open, scalable archit…

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Where the Machines Land: Mapping the Physical Limits of the AI Buildout

Where the Machines Land: Mapping the Physical Limits of the AI Buildout

This summer a set of before-and-after satellite images went viral, appearing to show data centers rising over cleared forest. The reaction split immediately: outrage on one side…

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Who Can Stop the Machine? The Executive Control Test for Deployed AI

Who Can Stop the Machine? The Executive Control Test for Deployed AI

Many organizations can approve the purchase of an artificial intelligence system but cannot govern it effectively after deployment. Legal responsibility may remain with the ente…

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Building an AI Code Assistant for Large-Scale Software Engineering

Building an AI Code Assistant for Large-Scale Software Engineering

What does it take to build an AI assistant that can genuinely understand and work with large, complex software codebases? This talk shares lessons from building and deploying an…

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From Dashcams to Safety Intelligence: Building a Real-Time Computer Vision System for Unsafe Parking Detection at Fleet Scale

From Dashcams to Safety Intelligence: Building a Real-Time Computer Vision System for Unsafe Parking Detection at Fleet Scale

This talk explores how real-time computer vision can be used to improve road safety across large commercial fleets. Using the development of an unsafe parking detection system a…

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TBA

TBA

Additional session information will be announced progressively. Format: SESSION Location: CO-LOCATED Level: All levels Audience: Registered participants

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Coffee Break (Room C)

Coffee Break (Room C)

Format: COFFEE BREAK Location: ROOM C Level: All levels Audience: Registered participants Additional location: ROOM A Additional location: ROOM B

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Coffee Break (Room A)

Coffee Break (Room A)

Format: COFFEE BREAK Location: ROOM C Level: All levels Audience: Registered participants Additional location: ROOM A Additional location: ROOM B

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Coffee Break (Room B)

Coffee Break (Room B)

Format: COFFEE BREAK Location: ROOM C Level: All levels Audience: Registered participants Additional location: ROOM A Additional location: ROOM B

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Coffee Break

Coffee Break

Format: COFFEE BREAK Location: CO-LOCATED Level: All levels Audience: Registered participants

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Building AI Chip Software with AI: A Practical Guide

Building AI Chip Software with AI: A Practical Guide

What happens when the team building AI hardware starts using AI to build it better? At Tenstorrent, the Low Level Kernels (LLK) team is putting AI into the daily work of develop…

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AI Can Write Code. But Can It Ship? Agentic Engineering as a Sustainable Approach to Software Development

AI Can Write Code. But Can It Ship? Agentic Engineering as a Sustainable Approach to Software Development

An AI agent can write code in minutes. But how do we ensure those changes are secure, reliable and maintainable in a large enterprise system? Drawing on more than a year of hand…

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Beyond Translation: How AI Helps Small Teams Adapt and Validate Products in New Markets

Beyond Translation: How AI Helps Small Teams Adapt and Validate Products in New Markets

The talk would explore how small product teams can use AI to adapt existing products and validate new ideas when entering unfamiliar markets. Product localization is not simply…

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TBA

TBA

Additional session information will be announced progressively. Format: SESSION Location: CO-LOCATED Level: All levels Audience: Registered participants

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From AI Strategy to Execution: Managing the AI Opportunity Portfolio

From AI Strategy to Execution: Managing the AI Opportunity Portfolio

Most organizations do not struggle with a lack of AI ideas. They struggle with knowing which opportunities are worth pursuing. Through practical examples and a live demonstratio…

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Day Recap

Day Recap

Additional session information will be announced progressively. Format: SESSION Location: ROOM A Level: All levels Audience: Registered participants

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