Responsible AI isn’t just a buzzword—it’s a skillset your team needs to thrive in today’s data-driven world. In this session, we’ll explore practical ways to embed responsibility into your AI and data architecture. From understanding and addressing bias to implementing privacy-first practices and Zero Trust principles, you’ll gain actionable insights to make your systems more ethical and secure. With simple examples, patterns, and guidance, you’ll learn how to build responsible AI solutions while empowering your team to navigate the challenges of privacy, security, and ethics in a fast-evolving landscape.