Nordic Data Science & Machine Learning Summit 2024 | Stockholm, Sweden

06 - 07 Nov 2024

Conference

Check Official Website

Nordic Data Science & Machine Learning Summit 2024

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Timings

09:00 AM-06:00 PM (expected)

Entry Fees

Check Official Website

Estimated Turnout

500 - 1000 Delegates

Event type

Conference

Description

The Nordic Data Science and Machine Learning Summit 2024 gathers the brightest minds in the Nordics' data science and machine learning spheres. This premier event in Sweden offers an unmatched platform for professionals and organizations dedicated to pushing the boundaries of Advanced Analytics, Artificial Intelligence (AI), and technology.

Featuring a lineup of eminent domestic and international speakers, the summit provides rich insights into the current and future landscape of data science. It's an ideal venue for interactive discussions, sharing best practices, and exploring practical case studies on applied data.

Participants will have the unique opportunity to delve into topics like accelerating data innovation, understanding the latest trends and upcoming technologies in data science, and learning how to effectively build machine learning and AI products. The event also serves as a crucial confluence for discussing the myriad of challenges and opportunities that DS and ML professionals face today.

Network with peers, gain valuable knowledge, and uncover strategies to drive your organization's data science initiatives forward. Don't miss out on the chance to connect with the community and enhance your expertise at the Nordic Data Science & Machine Learning Summit 2024.

Highlights

  • Financial Services Evolution

    Evolution of Financial Services

  • Technology Focus

    Latest Advisor Technology

  • Industry Insights

    Industry Leaders' Insights

  • Future Outlook

    Future of Financial Planning

Tags

# IT & Technology
# Business Services
# Top 100 in Business Services in Sweden
# Business practical case studies on Applied Data
# How to accelerate Data Innovation
# Trends and upcoming Data Science Technologies
# How to build Machine Learning and AI products
# DS a& ML challenges and opportunities