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The InfoQ Podcast
AI, Rust, and Resilience: Key Software Trends Seen by the QCon San Francisco 2024 Program Committee
Oct 7, 2024
Hyun Liu, a leader of the ML platform team at Zoox, and Erin Doyle, a staff engineer at Lobb, dive into pivotal software trends shaping the industry. They discuss the rise of Generative AI and machine learning, emphasizing their integration into engineering practices. The conversation also highlights the growing importance of communication skills, programming language trends like Rust, and hardware awareness for optimizing software. Their excitement for the upcoming QCon San Francisco conference and its focus on socio-technical resilience is palpable!
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Quick takeaways
- The podcast emphasizes the transformative role of generative AI and machine learning in software development, highlighting practical integration strategies for engineers.
- A significant theme discussed revolves around the necessity of inclusive user interfaces, urging engineers to prioritize accessibility in emerging technologies like augmented and virtual reality.
Deep dives
Trends in Software Development
The discussion highlights the current trends in software development, focusing on the importance of generative AI and machine learning. Two tracks at the upcoming conference are dedicated to these topics, emphasizing practical applications and advancements in the field. Speakers will share their experiences and best practices for integrating generative AI into products, providing valuable insights on usage scenarios like enhancing customer interaction or deploying machine learning models into enterprise systems. These sessions aim to equip attendees with actionable knowledge while also exploring the rapidly evolving landscape of AI agents and their implications for the future of software.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode