In this episode, we dive into the ways in which AI and machine learning are disrupting traditional software engineering principles. With the advent of automation and intelligent systems, developers are increasingly relying on algorithms to create efficient and effective code. However, this reliance on AI can come at a cost to the tried-and-true methods of software engineering. Join us as we explore the pros and cons of this paradigm shift and discuss what it means for the future of software development.
Sponsors
Bloomberg
At Bloomberg, they solve complex, real-world problems for customers across the global capital markets. From real-time market data to sophisticated analytics, powerful trading tools, and more, Bloomberg engineers work with systems that operate at scale.
If you're a software engineer looking for an exciting and fulfilling career, head over to bloomberg.com/careers to learn more.
Arctic Wolf
Cybercriminals are evolving. Their techniques and tactics are more advanced, intricate, and dangerous than ever before. Industries and governments around the world are fighting back, unveiling new regulations meant to better protect data against this rising threat. Arctic Wolf — the leader in security operations — is on a mission to end cyber risk by giving organizations the protection, information, and confidence they need to protect their people, technology, and data.
Visit arcticwolf.com/datascience to take your first step.
Data Science at Home