

433: Data Science Trends for 2021
Jan 7, 2021
Ben Taylor, a seasoned data scientist at DataRobot, joins to discuss the pivotal data science trends for 2021 in the wake of COVID-19. He shares his passion for AI and highlights the importance of delivering tangible results through data. The conversation dives into the role of AutoML, the significance of transparent storytelling, and federated learning for preserving data privacy. Ben also addresses AI ethics challenges, the impact of remote work on collaboration, and the rise of emerging software tools revolutionizing the field.
AI Snips
Chapters
Books
Transcript
Episode notes
Ben's Passion for AI
- Ben Taylor's AI enthusiasm moved him to tears on stage, witnessed by his wife and father-in-law.
- He envisioned AI's life-saving potential, like preventing choking accidents, through smart home tech.
OKRs vs. KPIs
- OKRs, tied to quarterly goals and bonuses, emphasize urgency in delivering value.
- KPIs, broader business performance metrics, can include model accuracy or utility functions tied to money.
Crawl, Walk, Run
- New data science teams should prioritize quick wins ("crawl") before tackling long-term projects ("run").
- Allocate the majority of time to projects with clear business value, while reserving some time for innovative explorations.