The AI Revolution is Coming, and It’s About to Destroy the Data Science World as We Know It
In a bold move, large language models (LLMs) like ChatGPT are set to disrupt the data science world, forcing experts to adapt to a new paradigm. As organizations and their data science teams review the potential and use cases of these LLMs, the future of work is looking increasingly uncertain.
The writing is on the wall: AI-powered analytics will soon dominate the industry, and data scientists will have to learn to master the tools and ask the right questions of the technology to stay ahead. The good news is that LLMs are still not perfect and have limitations, particularly when it comes to high-risk decision-making and sensitive engagements with customers. This means that organizations will need to build machine learning models to "supervise" certain responses from LLMs.
But the truth is, LLMs are not just a tool – they’re a game-changer. Code-assist AI tools will democratize data skills, giving non-experts access to processed data through natural language querying. For example, employees will be able to ask LLMs questions, and they’ll construct and execute database queries to retrieve relevant information.
This is a new era for analytics, one that will provide immense value. But it also raises complex questions about how businesses will need to adapt. Tech professionals are often the first to adopt new technologies, and AI is no exception. They’re the ones who will automate tasks, freeing up humans to focus on more strategic work.
And yet, there’s a dark side to this revolution. The asymmetric competitive advantage enjoyed by larger, more established companies with better data may soon be leveled, as GenAI and data labelling technology makes it possible for smaller companies to access and use high-quality data.
So, buckle up, data scientists! The AI revolution is coming, and it’s going to change everything.
