Women at the Forefront of AI and Data

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Sent live at 17:00 on 17 March 2026

Looking for a reason to get excited about tech this spring? Join us in March for an evening hosted by Tekna Big Data in collaboration with Women in data science and IEEE women in engineering.

Rather than just talking about the "future," we’re getting into the practical side of things, like how to build AI that’s actually ethical and how to share data securely through federated learning.

We’ve invited three fantastic experts to share what they’re working on:

• Tita Alissa Bach (DNV)
• Heidi Dahl (Posten)
• Rebecca Wiborg (Vipps)

The speakers

Tita Bach

DNV AS Avd Høvik

With a background in human factors and psychology, my work is driven by the dynamic relationship between human and AI within safety-critical industries. My current research is focused on developing actionable steps to foster Responsible AI, assessing and improving cybersecurity culture, and optimising human-AI collaboration.

Heidi Elisabeth Dahl

Fagleder for Ansvarlig AI - Posten Bring AS

Heidi is a responsible AI Champion: it's the surest way to get from brilliant idea to actual business value. Chronically curious tech enthusiast. Fascinated by the interplay between people and tech, between research and industry. Motivated by making technology work in practice in organisations. Public speaker and workshop facilitator. Occasional researcher.

Rebecca Seyfarth

Head of Data & Insights - Vipps Mobilepay AS

Rebecca Wiborg Seyfarth is Head of Data & Insights at Vipps MobilePay, where the focus is on building a shared, trusted data foundation and enabling data-driven decisions across the organization, so data can be turned into product and business value. Previously she was CTO at Völur, working at the intersection of data, ML and product development. Before that she spent five years at Cognite in roles spanning data science, ML engineering, tech leadership and engineering management. She has also worked as an analyst/data scientist at FINN.no and Schibsted. Rebecca was named one of Norway’s 50 leading women in tech (2023) and holds an MSc in Modelling and Data Analysis from the University of Oslo.