I LOVE Tech Bucharest - The Age of AI

Get ready for a new edition packed with bold ideas, fresh perspectives, and the future of technology.

I LOVE Tech is a free technology event focused on the evolution of artificial intelligence. It brings together developers, future tech professionals, and enthusiasts for a full day of learning, inspiration, and real industry insights.

In the previous edition, we hosted +15 speakers from companies such as OpenAI, SCOR, Microsoft, Worldline, Allianz Technology, STS and IT School, alongside more than 350 participants.
 

I LOVE Tech is built around hands-on learning, applied skills and real connections with the tech industry. It is not just a conference, it is an experience where you discover what working in AI and technology truly looks like.

You can expect keynote talks, live AI demos, interactive sessions, and direct conversations with experts working on real-world industry projects.

WHY ATTEND?

Free access, high-impact learning
I LOVE Tech is 100% free, giving you access to high-quality tech education.

Learn AI from the people who actually build it
Get practical insights from industry professionals working on real AI projects, not just theory or slides.

Connect with the right people
Meet companies, engineers and specialists who can influence your learning path, mindset or even your career direction.

Be part of a tech community that pushes you forward
Surround yourself with curious, ambitious, and active builders in tech and leave inspired to do more.



HERE'S A LOOK AT OUR AGENDA:

 

🎤 10:15 - 10:20  ⎯ Welcome speech

🎤 10:20 - 10:30  ⎯ Intro Speech by our Main Partner

 

🎤 10:30 - 11:00  ⎯ From Business Problems to AI Solutions: Building Technology That Delivers

Twenty years ago, companies started moving out of spreadsheets and into CRMs and ERPs, chasing one system with clean, trusted data to manage their customers and internal processes. Today that data is still spread across systems, files, emails and PDFs, and the answers about those same customers and processes are as hard to get as ever. Now AI is expected to fix it.

”In this session I'll walk through how I actually approach that: starting from how the work is really done rather than from the technology; getting information out of the places where it's stuck and making it usable with machine learning; using LLMs to make sense of documents and text; and putting the result into applications and dashboards people open every day. Then the part that usually decides everything: why technically good projects still fail, and what it takes for one to deliver. 

I'll close with what this means if you're starting out: which skills matter in this field and how to build them.”

🎤 11:40 - 12:10  ⎯ ship-it-with.ai: How Agentic AI Coding Democratizes Application Development

AI coding agents are changing who gets to build software. This is not about autocomplete or chat assistants. Agentic AI systems now read, write, run, and verify code on their own, with humans in the loop for review and governance, not for every keystroke. For the next generation of developers, this changes everything. The skill that matters most is no longer memorizing syntax. It is the ability to express intent clearly, review code critically, and understand what the system is doing at an architectural level.

This keynote introduces ship-it-with.ai, a practical methodology for working with AI coding agents. Participants will learn what agentic coding actually looks like in production, why clear communication and code review matter more than writing code from scratch, and how this shift opens application development to people who think well but never saw themselves as "developers."

Takeaways: 
- What agentic AI coding is and how it differs from copilot-style autocomplete 
- The six-phase loop: research, plan, execute, review, verify, ship 
- Why expressing intent and reviewing output are the new core developer skills 
- How to start building with AI agents today, regardless of your coding background 

🎤 12:15 - 12:45  ⎯ Designing for the Age of AI in a Regulated Industry: Principles, Visual Language & Best Practices at SCOR

At SCOR, we've developed a principled framework for designing AI-powered features that keeps humans in control while enabling them to work more efficiently. This presentation explores the six core design principles that guide every AI experience we build, ensuring transparency, trust, editability, and seamless integration into professional workflows. 
 
Attendees will discover how these principles translate into a consistent visual language for AI across SCOR products, including the use of distinctive gradients, iconography, and design tokens that clearly communicate AI-generated content. Through real-world examples from the insurance industry, the session demonstrates how responsible AI design can scale from individual features to end-to-end applications while ensuring that AI remains a tool that augments professional expertise rather than replaces human judgement. 





🎤 14:30 - 15:00  ⎯ DF-MoE: Generalizable Deepfake Detection via Multimodal Sparse Mixture-of-Experts

Audio-visual deepfake detection is an actively studied topic, where one of the main challenges is to develop detectors able to generalize across deepfake generation methods. We conjecture that overfitting can be mitigated by extracting multiple high-level cues from the available audio and visual modalities via pre-trained models.

We therefore assemble a wide variety of pre-trained models to extract features that encode mouth movements, face parsing, facial expressions, head pose, gaze tracking, heart rate, audio emotion and speech activity. We further integrate both unimodal and multimodal cues via a Mixture-of-Experts (MoE) backbone to detect deepfakes.

We perform in-domain and cross-domain experiments on five benchmarks for deepfake detection (MAVOS-DD, AVLips, PolyGlotFake, BioDeepAV, FakeAVCeleb) to compare our framework (DF-MoE) with state-of-the-art methods. Our results indicate that DF-MoE obtains superior deepfake detection results, surpassing all competing methods. 

I LOVE Tech is where AI, people and ideas come together to create real opportunities.

 

Register now and become part of the next generation of AI innovators.