GenAI and the Future of Data Science in 2025
Looking at trends for the coming year
One thing is clear:
Data Science is moving beyond traditional model building & statistical analysis.
Either we adapt or get left behind.
Last week I got to attend the Nordic DSML Summit in Stockholm, Sweden 🇸🇪 with some of my data colleagues at Nextory.
Not only was I surrounded by lots of brilliant data science, machine learning, and AI professionals, but I also got to listen to inspiring talks by companies such as NVIDIA, HP, Spotify, Meta, and Ericson (just to name a few).
The goal of this two-day event was to share insights, discuss advancements in the field, and explore practical applications of data and AI.
So by the end of the event, I got a much clearer picture of the future of data science (at least for the coming year) and how AI (specifically GenAI) will get to play a role beyond the hype.
So whether you are entering the field within the coming months or you are a seasoned professional looking to upskill, I wish share some insights to help you continue to evolve as a professional and remain relevant in the field.
1—Today: Embracing ChatGPT in the Workplace
More and more, companies are embracing the use of tools like ChatGPT in their day-to-day.
This is what we are already seeing:
Marketers using AI tools to automate content creation.
Content creation and SEO teams leveraging AI tools it to translate websites to improve content localization.
Data scientists using AI tools to get assistance when writing code, troubleshooting code, and even getting suggestions on hyperparameter tuning.
💡The main challenge currently remains privacy, which is no wonder bigger tech companies like Spotify are relying on launching their own internal LLMs to avoid leaking sensitive company information.
What does this mean for you?
Companies want to do more with less, so we’ll start seeing a shift in how much value individual data scientists are expected to generate with fewer resources and greater efficiency.
Just imagine being an athlete competing against others using performance-enhancing drugs. There’s a reason they’re banned from the Olympics—it would be unfair.
So whether we like it or not, adoption is necessary as it will become almost impossible to compete without the assistance of these tools.