Beyond AI chatbots: how we tripled engagement with Deepnote AI
By Gabor Szalai
•Updated on April 3, 2024
Blog
How to effectively prompt Deepnote AI
By Ondřej Romancov
•Updated on March 26, 2024
Latest releases
Beyond AI chatbots: how we tripled engagement with Deepnote AI
We continue exploring the real-world impact of Deepnote AI, delving into our design strategy for integrating conversational AI into our product. We outline our approach to overcoming key challenges and highlight how our efforts helped triple our AI engagement in just 8 months. We also offer a glimpse into our ambitious plans for the future of generative AI in notebooks.
By Gabor Szalai
•Updated on April 3, 2024
How to effectively prompt Deepnote AI
Deepnote AI is a powerful tool, assisting you with your data projects through your prompts in natural language. But how do you effectively structure your prompts in order to get the most out of Deepnote AI and fully utilize its deep contextual awareness?
By Ondřej Romancov
•Updated on March 26, 2024
How to cure the reproducibility crisis in data notebooks
Reproducibility is the foundation of data work. Learn how the right tools keep data scientists and analysts on the right side of the scientific method.
By Megan Lieu
•Updated on January 8, 2024
How Deepnote uses Deepnote
When we founded Deepnote in 2019, we already had our sights set on notebooks. But our grand plan was something much bigger than just notebooks. That’s when we set out to build a single tool that serves any and all data needs.
By Megan Lieu
•Updated on December 27, 2023
Deepnote AI: So, what’s the impact? (Part 1)
In Part 1 of our series focusing on the real impact of generative AI in Deepnote, we delve into the creation of AI code completion, our approaches to measuring success, and some of the lessons we've learned along the way.
By Gabor Szalai
•Updated on December 11, 2023
DLT & Deepnote in women's wellness and violence trends: A Visual Analysis
Hiba Jamal from dlthub combines dlt and Deepnote to explore trends in women's wellness and violence, where dlt formatted her deeply nested datasets into my desired destination with minimal supervision and Deepnote acted as an interactive dashboarding tool.
By Megan Lieu
•Updated on November 14, 2023
Deepnote Auto AI vs. ChatGPT: Autonomous Analysis Showdown
Comparing Deepnote Auto AI and ChatGPT's Advanced Analysis plugin, we explore how each tool enhances data analysis, weighing their capabilities, collaboration features, and overall integration into professional workflows.
By Gabor Szalai
•Updated on November 1, 2023
Revolutionizing data work with Deepnote AI - again
If you thought we were done reshaping data workflows with AI, we’ve been working on one more addition to the Deepnote AI family. And guess what? It’s the best one yet.
By Megan Lieu
•Updated on October 26, 2023
8 Data notebook myths - busted
Some data notebook myths aren’t just wrong — they also prevent data teams from doing their best work. Learn why it’s time to scrap these common misconceptions.
Updated on October 9, 2023
Disrupting Fintech: How Floryn reimagined the lending process using Deepnote
Within the fast-moving and competitive field of Fintech, Floryn has managed to position itself as a forward-thinking disruptor in the field.
By Megan Lieu
•Updated on October 6, 2023