What are the big A.I. trends going to be in 2024? In this episode of SuperDataScience, hosted by our Chief Data Scientist, Jon Krohn, the magnificent data-science leader and futurist Sadie St. Lawrence fill us in by methodically making her way from the hardware layer (e.g., GPUs) up to the application layer (e.g., GenAI apps).
More on Sadie:
• Machine Learning instructor who’s had over 500,000 students.
• Founder/CEO of Women In Data™️, a community of over 60,000 across 55 countries.
• Head of A.I. at SSL Innovations.
• Hosts the Data Bytes podcast.
• Serves on multiple start-up boards.
Sadie was previously the guide to both the 2022 and the 2023 predictions episodes. Those are two of the all-time most popular episodes of this podcast and, if you listened to them, you already know that you’re in for a treat again today.
This episode will appeal to technical and non-technical folks alike — anyone who’d like to understand the trends that will shape the field of data science and the broader world not only in 2024 but also in the years beyond.
They start the episode off by looking back at how our predictions panned out from a year ago and then we’ll dive into our predictions for the year ahead. Starting from the hardware layer then moving gradually toward the application layer, specific 2024 trends Sadie leads discussion of include:
• A.I. hardware accelerators
• Large language models (LLMs) as “operating systems”
• Models like Q* that solve problems along non-linear paths
• Consolidation of enterprise systems thanks to function-calling LLMs
• Whether generative A.I. will replace data analysts
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
