Sadie St. Lawrence, a seasoned data science educator and founder of the Human Machine Collaboration Institute, joins the discussion on AI's future. They assess 2024's key trends including AI-driven science and enterprise monetization. Predictions for 2025 highlight the surge of agentic AI and necessary skills for data scientists. They also reflect on significant industry shifts, the rise of emerging players, and the societal impact of automation. Sadie emphasizes the need for genuine human connection as technology evolves.

As you might know if you follow the podcast, we usually talk about the world of cutting-edge AI capabilities, and some of the emerging safety risks and other challenges that the future of AI might bring. But I thought that for today’s episode, it would be fun to change things up a bit and talk about the applied side of data science, and how the field has evolved over the last year or two. And I found the perfect guest to do that with: her name is Sadie St. Lawrence, and among other things, she’s the founder of Women in Data — a community that helps women enter the field of data and advance throughout their careers — and she’s also the host of the Data Bytes podcast, a seasoned data scientist and a community builder extraordinaire. Sadie joined me to talk about her founder’s journey, what data science looks like today, and even the possibilities that blockchains introduce for data science on this episode of the towards data science podcast. *** Intro music: - Artist: Ron Gelinas - Track Title: Daybreak Chill Blend (original mix) - Link to Track: https://youtu.be/d8Y2sKIgFWc *** Chapters: 2:00 Founding Women in Data 6:30 Having gendered conversations 11:00 The cultural aspect 16:45 Opportunities in blockchain 22:00 The blockchain database 32:30 Data science education 37:00 GPT-3 and unstructured data 39:30 Data science as a career 42:50 Wrap-up

Expert Sadie St. Lawrence discusses bridging humans and AI with Generative AI, future work impact, expanding divergent thinking, importance of diversity in data, and the value of mentorship.

Data science expert Sadie St. Lawrence joins Jon to analyze 2024 trends and predict AI hardware accelerators, large language models, tool consolidation, and workforce upheaval. They delve into slow-thinking models, AI bubble bursting, Edge AI breakthroughs, and productivity planning.

Data science expert Sadie St. Lawrence joins Jon Krohn to discuss the top trends of 2023 in AI. From data as a product to multimodal models and the data mesh, the episode explores predictions for privacy, environmental sustainability, and AI trust. Get ready for a glimpse into the future of data science!