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Official conference openning

Keynote: Tech power, AI disruption, and the case for going up the stack

This talk covers the current technological and economic landscape in high tech, the challenges and opportunities it presents, and the disruptive potential of AI — for businesses…

Coffee Break

AI in the Engine Room: Applying LLMs, RAG, and Agents to Large-Scale Software Engineering

This talk is about using LLMs, retrieval, and agents to change how large software systems are actually built, tested, and operated. Drawing on our experience applying AI across…

From Reactive to Predictive: Architecting the Future of AI-Driven Cybersecurity

This session introduces a necessary paradigm shift: moving from reactive incident response to a proactive, predictive security framework. We will demonstrate how AI-powered solu…

Coffee Break

Agentic AI in the service of cybersecurity

Agentic AI systems are recently associated with many security risks, from OpenClaw issues to misuse of Claude to execute serious attacks, we have to rethink how these systems ca…

LLM Agents in Adversarial Cybersecurity: Learning to Attack and Defend in Simulated Networks

The advent of Artificial Intelligence (AI) requires significant changes to the way that Cyber Security operations are performed. In this talk, I will be showing how AI is revolu…

Lunch break

Lunch is organized on the 4th floor of the building

AI-Driven Business Transformation: A systemic perspective on organizational change

This talk approaches AI-driven business transformation as systemic organizational change. Drawing on over two decades of work at the intersection of cognitive science, data scie…

Move Fast, Build AI Responsibly

How do you move from an AI idea to a product that is not only functional, but also compliant and responsibly governed? This presentation will walk through the development proces…

Agents on a Diet: Fixing the Unhealthy Habits That Make Your AI Dumber

Most developers start by stuffing as much context as possible into their prompts. I did the same and watched my agents get worse. In this talk, I'll show why more context often…

Coffee Break

Pannel discussion:  AI in Practice: Capabilities, Constraints, and Consequences

As AI moves from experimentation into everyday systems, understanding its real impact becomes critical. This panel brings together diverse perspectives to examine where AI stand…

Networking evening and cocktails!

Join us for networking & drinks!

Your AI Agent is a Drunk Intern: Why You Must Be the Architect, Not the Coder

AI coding agents are incredibly powerful, but they act like highly caffeinated, drunk interns. They possess infinite typing speed and patience, but completely lack architectural…

Your R&D Has AI Coding Agents. Now What? Building the Infrastructure for Quality, Security, and Org-Wide Learning

We deployed agentic coding tools across four business units and 135 engineers, product owners and designers. This talk covers what it took to make it work at scale: standardized…

AI Agents for Legacy System Modernization: Automating Code, Data, and Infrastructure Migration

Modern organizations often operate on multiple legacy systems that evolved independently over many years. These systems typically differ in architecture, data models, programmin…

Coffee Break

From Seismic Cubes to Geological Structures: Deep Learning for Horizon Estimation

In this talk, I will present a deep learning approach for estimating geological horizon structures directly from 3D seismic data. Unlike traditional methods that rely on manual…

Shipping AI Features on Mobile: Challenges Beyond the Model

Integrating machine learning models into mobile applications often looks straightforward in theory but becomes significantly more complex in practice. This talk walks through th…

AI Facilitator Agents for Knowledge Transfer in Complex Projects

Knowledge transfer is a critical yet challenging aspect of complex projects, often hindered by fragmented communication and inconsistent documentation. This presentation focuses…

Coffee Break

Automating Ad Operations: Where to use LLMs and where to keep the code — a production pipeline example

In this talk I will cover three things. First, the business case — what the manual process looked like and why we decided to automate it. Second, the architecture — an Airflow-o…

Smart BI Agent: AI-Powered Performance Optimization

We present Smart BI — an AI-powered agent that automates investigation of performance drops using internal statistical data. Teams interact with it via Slack — asking questions…

From Synthetic Tasks to Reliable Metrics: Building Environments for AI Agents

Training capable AI agents requires carefully designed environments and evaluation protocols. In this talk, I will review established industry approaches and share practical ins…

Conference closing