Schedule for today

Schedule

08:30

Registration & Mingle

Drop in at any time after 8:30 to register for the event, pick up your name badge and start mingling with other attendees! Coffee and tea will be available.

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09:15

Introduction to WiDS Sweden

Why are we here today, what is Women in Data Science, who are the organizers, why are we doing this? Join to find out!

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Women in Data Science Sweden
09:30

Large language models: progress, pitfalls, and the challenge of evaluation

Evangelia Gogoulou
AI Researcher at RISE
10:00

Building scalable data solutions with open source

Have you ever wondered how large-scale data frameworks work internally to handle massive datasets—or how to create a scalable component yourself? This talk will introduce you to open source development for distributed data processing, showcasing the design of a dynamically scalable I/O connector. With insights from an Apache Beam contributor, you will explore the challenges and rewards of contributing to open source and leave inspired to make your own impact on the data community.

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Johanna Öjeling
Sr Software Engineer at Grafana Labs
10:30

Coffee Break

11:00

Learning about players: a journey through event streams

How can the combination of tracking event streams and self-supervised learning enhance our understanding of players? This talk explores insights gained from an applied research journey focused on deciphering mobile game players’ behavior, by analyzing and modeling intricate, continuous sequences of timestamped tracking events.

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Gabriela Zarzar Gandler
Principal AI Research Engineer at King
11:30

Fireside Chat

Amy Loutfi
Professor of Computer Science at Örebro University, Program Director for WASP
Sahar Asadi
Director of AI Labs at King
12:00

Lunch

Lunch will be served at Epicenter for everyone who is attending in person.

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13:00

Why time series forecasting is the most important tool in creating a greener future

Zineb Senane
Machine Learning Engineer at Fever Energy
13:30

Lightning Talks: From concept to reality: productionizing generative AI and first lessons learnt - APPLY TO GIVE A TALK!

Generative AI and large language models (LLMs) are rapidly transitioning from experimental concepts to practical tools that reshape industries. These technologies empower companies to innovate by enabling smarter products, enhanced customer engagement, and data-driven decision-making. By processing massive datasets and generating human-like content, LLMs unlock new opportunities across domains such as healthcare, education, recommender systems, and beyond. They streamline operations, freeing employees from repetitive tasks and fostering creativity and strategic thinking while encouraging the evolution of diverse skill sets.

However, with innovation comes the challenge of execution. From initial wins in improving patient care and delivering best in class B2C offerings to setbacks that highlight the complexities of integration, businesses are gathering valuable insights about what works—and what doesn’t. The aim for these lightning talks is to explore how generative AI is being productionalized, sharing first-hand lessons from successes and pitfalls to guide the effective integration of these transformative technologies into real-world applications.

APPLY TO GIVE A LIGHTNING TALK HERE: https://forms.gle/SfVVbvbRKGF9...

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Coming Soon
14:30

Coffee Break

It’s a match! How qualitative approaches complement data in real-world contexts

Understanding user behavior requires both analytics to spot patterns and user research to uncover motivations. In this talk, we'll explore the power of triangulation, showing how combining data sources leads to stronger insights. A real-life example from Once Upon will demonstrate how blending analytics and research drives better decisions—plus, a look ahead at challenges and opportunities in this approach.

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Sophie Albrecht
Team Lead Data & Insights at Once Upon
Diane Golay
User Researcher at Once Upon
15:30

Panel: Careers in the age of generative AI

The rapid advancements in generative AI have thrust it into the forefront of technological discussions, sparking debates on its true impact. While some view it as an incremental step in AI development, others envision it as a transformative force threatening to reshape entire industries. In this panel, we aim to explore the potential implications of generative AI on the job market, job searches, and the evolution of career trajectories.

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Galina Esther Shubina
Sr Director AI Strategy, Shared Technology at King
Dhiana Deva
Senior MLOps Engineer at Neko Health
Amy Loutfi
Professor of Computer Science at Örebro University, Program Director for WASP
Elin Ehsani
Head of AI at In Parallel
16:15

Closing Remarks

Women in Data Science Sweden
16:30

Mingle at King

After the conference, we will migrate diagonally across the intersection for a mingle at King's offices. Are you a job-seeker attending the WiDS 2025 Sweden conference on March 13? This year we are offering free resume reviews by industry experts! During the mingle, from 16:30 to 18:00, you have a chance to get your resume reviewed or get your job-seeking questions answered by established professionals. Bring a printed out version of your resume to the mingle and we will help you from there. You must be a holder of a conference ticket to participate.

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King

Speakers

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