Dominique Ronde

Dominique Ronde is a Staff Solution Engineer, PhD candidate in Applied Artificial Intelligence, and author focused on AI, data streaming, Apache Kafka, Apache Flink, and real-time system architecture. With more than 20 years of experience in IT, data platforms, and digital transformation, he helps organizations design reliable, scalable, and practical data systems. On Big Data Pilot, he writes about AI, machine learning, event streaming, software engineering, and the realities of building technology that actually works in production.

Implementing Real-Time Data Products with Apache Kafka and Apache Flink (Part 3)

As we have explored in the previous parts of this series, high-quality and real-time data are essential for AI and ML applications. Now, let’s take a deeper look into how to implement real-time data products effectively using Apache Kafka and Apache Flink. This part focuses on two crucial features of Flink that enable reliable and […]

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Challenges in Building and Maintaining Data Products for AI and ML (Part 2)

Building and maintaining data products for AI and ML is not just about collecting data—it is about ensuring data quality, scalability, and accessibility. Without addressing these challenges, AI models will produce unreliable results, and organizations will struggle to use data effectively. Two of the biggest challenges in this area are data quality and scalability. Ensuring

Challenges in Building and Maintaining Data Products for AI and ML (Part 2) Weiterlesen »

Fast Lanes & Flashing Lights: Driving in Dubai – Part 2

In this follow-up episode of Hugs, Handshakes, Habibi, Dominique dives deeper into car ownership in Dubai. From choosing the right car to navigating insurance, maintenance, and daily operation, he shares key insights and personal experiences. Learn about the hidden costs, how to avoid common mistakes, and why some cars are better suited for Dubai’s roads than

Fast Lanes & Flashing Lights: Driving in Dubai – Part 2 Weiterlesen »

Fast Lanes & Flashing Lights: Driving in Dubai

In this episode of Hugs, Handshakes, Habibi, Dominique dives into the reality of driving in Dubai—from strict traffic rules and speed cameras to unwritten road etiquette. He shares his experience as an expat behind the wheel, including the challenges of navigating fast highways, unexpected road habits, and the ever-present risk of fines. Whether you’re a new

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Dream Big, Habibi: Inspiration from the Heart of Dubai

In this inspiring episode of „Hugs, Handshakes, Habibi,“ Dominique explores the vibrant energy of Dubai as a catalyst for finding motivation and purpose. From personal ambitions to professional goals, he reflects on how the city’s unique environment fosters growth and self-discovery. Tune in to hear how dreams take shape in the desert, and learn how

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Why Generative AI Tools Are Not Suitable for Learning or why we still need good or even better human teacher

Generative AI (GenAI) tools, such as ChatGPT or other large language models (LLMs), are hailed as groundbreaking innovations for generating human-like responses to diverse prompts. They excel at mimicking natural language, summarizing information, and even assisting with creative tasks. However, their technical foundation raises significant concerns about their suitability as reliable tools for learning and

Why Generative AI Tools Are Not Suitable for Learning or why we still need good or even better human teacher Weiterlesen »

Why Generative AI Tools Are Not Suitable for Literature Research

Generative AI tools like ChatGPT are revolutionizing how we interact with information. They excel at producing natural, human-like responses, summarizing complex topics, and even offering creative insights. Yet, despite these capabilities, they fall short in one crucial area: literature research. Here’s why Generative AI (GenAI) tools aren’t designed to handle the rigorous demands of academic

Why Generative AI Tools Are Not Suitable for Literature Research Weiterlesen »