In this episode of AI Insights, host Fleur Prince interviews Merel Theisen, a tech lead at Kedro, about her unique journey from a liberal arts background to a career in software engineering and AI. Merel shares her experiences in developing Kedro, an open-source Python framework that simplifies the transition from experimental data science projects to production-level machine learning. The conversation also explores the exciting trends in AI, the balance between technical skills and leadership, and the future of data science with frameworks like Kedro.

In this episode of AI Insights, Fleur Prince and Granya discuss the latest developments in the AI industry, including SoftBank's significant investment in OpenAI, the disruptive impact of DeepSeek, and Alibaba's new AI model, Quen 2.5. They also explore the role of AI in healthcare innovations and the Vatican's recent ethical guidelines on AI, highlighting the growing importance of responsible AI development across various sectors.

Takeaways

SoftBank is looking to invest $25 billion in OpenAI.

DeepSeek is changing the competitive landscape of AI.

Alibaba's Quen 2.5 model is a significant advancement in AI technology.

AI is being increasingly integrated into healthcare to improve efficiency.

The Vatican has issued ethical guidelines for AI development.

Investment in AI is becoming a global trend.

Transparency in AI models is essential for trust and accountability.

The competition in AI is intensifying with new players entering the market.

AI can help reduce burnout among healthcare professionals.

Ethical considerations are becoming a priority in AI development.

In this episode of AI Insights, Fleur Prince and Grania Popen welcome Giles Slinger from Fledger AI to discuss the intersection of AI and law. They explore how AI tools are transforming legal practices, the importance of data security, the challenges posed by AI hallucinations, and the future of AI in legal education. The conversation also touches on digital rights, the balance between regulation and innovation, and the need for local solutions in the AI landscape.