European Women in Technology

  • 26-27 Jun 2024
  • RAI Amsterdam, Netherlands


European Women in Technology is a conference that covers topics such as:

  • Big data and analytics - Creating change agents to win the data science war
  • Your journey to truly cognitive technology: From robotics, RPA, Machine Learning, Deep Learning, Computer Vision, A.I. and beyond!
  • Beyond data lakes – How to turn data-driven decision making into practice?
  • To the intelligent edge – The next IT transformation?
  • Automation – The changing face of security in an increasingly cognitive tech world
  • Evolving cloud – Distributed tech, edge computing and its overlay implications
  • Fit for purpose recruitment practices to attract the workforce your future business needs
  • Blockchain outside of financial services – What can it truly do for you?
  • Embracing the new project practices – Agile vs. Kanban vs. Waterfall
  • Work/life balance – creating space for wellbeing and productivity
  • Outsourcing vs. in-housing your tech & tech teams - which way to go?
  • What to consider when investing in technology?
  • Practical tips & tricks for navigating your way into a tech-specific career
  • Creating your pitch-deck - what to include & what should it look like?
  • Demystifying having it all
  • The fundamentals of changing careers at any age
  • Upskilling fast – adapting to an ever-changing tech sector landscape
  • Ageism – as working life extends into our 70’s how will it impact you?
  • Pay gaps – looking into the true state of affairs and understanding the psychology of pay gaps

European Women in Technology will be held in Amsterdam, Netherlands on 26-27 Jun 2024.


  • RAI Amsterdam , Europaplein 22, Amsterdam, Netherlands

More Details

300 Euro (Estimated)
Ascend Global Media

Future Events


Please, check "European Women in Technology" official website for possible changes, before making any traveling arrangements

Event Categories

Business: Human Resources (HR)
Government & Global Issues: Social issues
Technology: Artificial Intelligence (AI), Data management, Digital Infrastructure, Information Technology (IT)

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