Data Trends and Predictions 2026
Key Takeaways:- Review which predictions from last year came true—and which missed the mark.
- Learn what trends and developments are likely to shape data, BI, and AI in 2026.
- Understand the technology, business, and training implications of these emerging trends.
Description
Predicting the future of data and AI is never easy—but looking back at what we got right (and wrong) can reveal a lot about where the field is heading next. As 2026 unfolds, new technologies, emerging business needs, and evolving skill sets will reshape how we build, deploy, and learn with data and AI.
In this presentation webinar, Richie Cotton, Senior Data Evangelist at DataCamp, and Rhys Phillips, Content Operations Manager at DataCamp, will revisit last year’s predictions to see how they held up, then share a fresh set of forecasts for what will matter most in data, business intelligence, and AI in 2026. You’ll also hear about the implications of these predictions—from the technologies to watch, to how teams should adapt, to the skills practitioners will need to stay ahead.
Presenter Bio
Richie helps individuals and organizations get better at using data and AI. He's been a data scientist since before it was called data science, and has written two books and created many DataCamp courses on the subject. He is a host of the DataFramed podcast, and runs DataCamp's webinar program.
Rhys Phillips is an experienced, multi-disciplinary marketing and content operations professional with a background spanning photo and video production, social media, live events, design, paid advertising, and brand building. He currently leads content operations at DataCamp, where he helps shape and scale creative workflows that connect storytelling with business impact. Previously, Rhys held senior content roles at recruitment-tech start-up cord and worked as a freelance photographer and videographer, building a versatile skill set across the full spectrum of marketing and creative execution.