The Top Data and AI Trends for 2024
AI has touched nearly every industry and impacted culture on a wide scale over the past year. It has dramatically shifted how we think about, talk about, and plan for the future.
As the data industry adapts to AI, conversations about ethical frameworks, modeling, and how people participate in the process are coming to the forefront.
AI drives nearly every one of our predictions for 2024. At Coalesce, we’re eager to welcome a new year of innovation alongside our colleagues and partners, creating equitable and accessible data foundations.
Inside:
- Introduction
- Reckoning with AI’s limitations
- Ethical AI moves front and center
- Data modeling is back, but now it’s about semantics
- Increased adoption of vector databases
- AutoML takes over
- Culture (and tools) evolve
- Conclusion
“People are now more important than tools. How we structure data programs and their people is a new paradigm shift—one that might take some time to become evident.”
Forrester estimates that investment in generative AI will grow from $40 billion in 2022 to $1.3 trillion by 2032.
“We have to be able to show where every answer we produce with AI comes from—not just as a one-off exercise, but as part of the DNA of our data programs. Transparency and trust are becoming urgently important, because if you’re training AI with bad data, it has the potential to be catastrophic.”
Expected size of the AutoML market in the
next five years
Most organizations aren’t asking if they should be employing AI, only when they will fully integrate it into operations. As such, they cannot afford to put conversations about ethics and data governance on the backburner
