Yanis Touhami

For marketing professionals, martech users, CDP users, and business leaders The customer experience is no longer a straight line it is a rollercoaster. Ups and downs, twists and turns, and moments of pure exhilaration define the journey. To navigate this ride, businesses are turning to Customer Data Platforms (CDPs) powered by Artificial Intelligence. But how do we ensure this thrill ride is safe, ethical, and compliant with regulations like the EU AI Act? A rollercoaster of AI-driven customer experiences, thrilling and ethical. The EU AI Act is not just a set of rules it is a framework for trust. It ensures that AI systems are transparent, fair, and respectful of user privacy. Integrating AI with CDPs under this framework means we can innovate without compromising ethics. The goal is to enhance customer insights and personalization while staying within the guardrails of compliance. The Foundation: 3 Industry Techniques for AI in CDPs Predictive Analytics Predictive analytics is the ba...

Audience: Beginner developers, AI practitioners, students, and professionals looking to upskill Python is more than a programming language. It is a gateway to innovation, a tool that powers the artificial intelligence revolution, and a companion for anyone willing to dive into the world of coding. From the earliest days of its creation in 1991 by Guido van Rossum, Python has grown to become the go-to language for AI and machine learning. Its simplicity, readability, and vast ecosystem of libraries make it the preferred choice for developers and researchers alike. Today, Python is the backbone of many large language models, including those developed by Mistral AI. Its versatility allows it to handle everything from data analysis to web development, making it an indispensable skill for anyone looking to thrive in the tech world. A retro explorer’s journey to Python’s holy grail Join me on a 14-day quest to uncover the fundamentals of Python. This is not just about learning a new language...