1st edition Agenda
Our first edition went like this: 53 talks over two days and split into three stages. We're already working on next year's speakers and agenda and can't wait to share a sneak peek!
09:15 — 09:30
Opening session
09:30 — 10:15
Unlocking generative AI with ubiquitous hardware and open software
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Wei Li
10:55 — 11:20
Developing inclusive speech AI models for voice disorders
Akash Raj
11:20 — 11:45
Improving power outage prevention with deep learning
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José Varela
11:45 — 12:10
From prototype to training RLHF pipelines with TorchRL
Vincent Moens
12:45 — 13:10
Please don't say "Correlation is not Causation" again
Ryan Chaves
13:10 — 13:35
Introduction to causal discovery
David Watson
13:35 — 14:00
Churn with causal inference: improving marketing campaigns with causality
Gabriel Pereira
João Varela
14:45 — 15:35
AI EU Act: What to expect?
Kai Zenner
Carlos Muñoz Ferrandis
16:05 — 16:30
Data Science and Risk Management: An opportunity for the financial industry
Arnault Thivel
Rui Dias Morais
16:30 — 16:55
Data-driven Predictive Maintenance: challenges and opportunities
Rita P. Ribeiro
16:55 — 17:20
An integral perspective towards football analytics in the big data era
Floris Goes-Smit
17:20 — 17:55
Determining what's interesting vs what's important - Football Edition
Sudarshan Gopaladesikan
18:00 — 19:00
Networking Beer
10:20 — 10:45
An overview of data observability: What matters most?
Raphael Leung
10:45 — 11:10
Map the World: Data Retrieval Architecture for the physical world
Rui Costa
11:10 — 11:35
If you build a lakehouse, would you sell your beach house?
Carlos Costa
11:35 — 12:00
Streamlining AI: From start to finish
Rui de Carvalho
13:10 — 13:35
Bringing value from data
Sahar Changuel
13:35 — 14:00
The future of robots and perception systems with synthetic data
Ekaterina Sirazitdinova
14:00 — 14:20
Discussion Panel: Data Centric AI: Hype or reality?
15:40 — 16:05
From static optimization to sequential decision-making: exploring explainable AI
Gonçalo Figueira
16:05 — 16:30
Fleet rotation and revenue management in a car rental company
Bruno Batista
16:30 — 16:55
Generative models in science: A peek into graph diffusion models for digital pathology
Manuel Madeira
16:55 — 17:20
From classical simulation to AI-based simulation
Luís Sarmento
10:45 — 11:10
"AI-Pocalypse or AI-Revolution?" - The role of Product Managers as AI guardians
João Tiago Ascenção
11:10 — 11:35
Learn principles for data and AI product development
Boyan Angelov
11:35 — 11:55
Discussion Panel: What is particular about AI Product Management?
13:30 — 13:55
A data-driven approach to safety mapping and intelligent route planning in Lisbon
Luís Rita
Tiago Tamagusko
13:55 — 14:20
AI for Good: Inspiring stories from the frontlines
Sara El-Ateif
14:20 — 14:40
Discussion Panel: From lab to real-life impact
15:50 — 17:50
Tutorial: MLOps Hands-on Guide - From training to deployment and monitoring
Alexey Grigorev
09:00 — 09:45
Data and AI - With great power comes great responsibility
Lambert Hogenhout
10:30 — 10:55
Unlocking the power of Generative AI for website creation and graphic design
Olga Diadenko
10:55 — 11:20
Leveraging ChatGPT to streamline customer support
Ana Rita Sousa
11:20 — 11:45
The Retrieval Augmented Generation (RAG) pattern
André Vala
11:45 — 12:05
Discussion Panel: Role of Generative AI in Data Science work
13:05 — 13:30
Ready to use autonomous driving algorithms to solve your business challenges?
Tiago Barroca
13:30 — 13:55
To One-Hot or Not: A guide to feature encoding and when to use what
Ana Chaloska
15:05 — 15:30
Named-Entity Recognition on log files
Inés Añibarro Gorostiza
15:30 — 15:55
End-to-end information extraction from clinical documentation
Pedro Chaves
15:55 — 16:20
Knowledge Augmenting practices in domain adaptation
Vivek Kumar
16:20 — 16:45
AI innovations in semantic search, speech recognition, and summarization
Luís Roque
17:15 — 18:00
Understanding Backpropagation
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Grant Sanderson
18:00 — 18:15
Closing session
10:30 — 10:55
LUPA ML Platform: accelerate data & ML workflows
André Godinho
Gustavo Pereira
10:55 — 11:20
MLOps on a shoestring
Nemanja Radojkovic
11:20 — 11:40
Discussion Panel: The future of MLOps
12:40 — 13:05
AI-powered customer journey
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Konrad Banachewicz
13:05 — 13:30
e^AI: Growing an AI culture amidst exponential growth
Clara Matos
13:30 — 13:55
Rolling AI: Unveiling the Tires (Computer) Vision
Ana Bezerrra
15:05 — 15:30
Developing a new generation of innovative and responsible AI powered products
Sara de Sousa
15:30 — 15:55
Applied Responsible AI in algorithmic marketing
Nuno Paiva
Rafael Mamede
15:55 — 16:20
Effect of Data Governance on data projects and success metrics in recent times
Jyoti Mishra
16:20 — 16:45
Beyond the Hype: A realistic perspective on AI and its limitations
Niya Stoimenova
16:45 — 17:05
Discussion Panel: Who is responsible for responsible AI?
10:00 — 10:25
Pricing in the fast lane: Unveiling a future sales model for automotive success
Emanuel Oliveira
10:25 — 10:50
Sales forecast in retail
Ana Freitas
Ana Carvalho
13:05 — 13:30
How to build a data team from scratch?
Stefan Gudmundsson
13:30 — 13:55
Lessons from operating ML teams and products at scale
Luís Moreira-Matias
Nuno Martins
13:55 — 14:15
Discussion Panel: From data scientist to team leader
15:05 — 16:35
Tutorial: Operationalizing retrieval augmented generation with Apache Airflow
Michael Gregory
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