Episode 28 - Scientific Proof That Event Modeling Works скачать в хорошем качестве

Episode 28 - Scientific Proof That Event Modeling Works

Summary In this episode, Adam and Martin discuss the upcoming workshop on event sourcing, the importance of various learning resources, and the role of AI in content creation. They explore contrarian thinking in technology and investing, emphasizing the significance of event sourcing in financial systems. The conversation also touches on innovative IoT projects, the scientific validation of event modeling, and the practical applications of the Maker Framework. The episode concludes with reflections on the importance of event sourcing and its future directions. In this conversation, Adam Dymitruk and Martin discuss the transformative impact of AI on various industries, emphasizing the importance of adapting to new methodologies such as event sourcing and event modeling. They explore the limitations of traditional practices like test-driven development (TDD) and advocate for a shift towards more efficient, slice-based approaches in software development. The discussion highlights the challenges faced when adopting new technologies and the necessity of understanding the underlying principles to enhance productivity and collaboration in software projects. Chapters 00:18 Introduction to Event Sourcing and Upcoming Workshop 03:22 Exploring Learning Resources and Community Engagement 06:24 The Role of AI in Content Creation and Learning 09:15 Contrarian Thinking in Tech and Investing 12:05 Event Sourcing in Financial Systems 15:24 Innovative IoT Projects and Event Sourcing 18:06 Scientific Validation of Event Modeling 21:22 The Maker Framework and Practical Applications 24:30 Concluding Thoughts on Event Sourcing and Future Directions 32:59 The Impact of AI on Industry Standards 35:02 Evaluating New Perspectives in AI Research 37:07 Understanding Event Sourcing and Its Benefits 41:13 The Importance of Slicing in Software Development 44:17 Transitioning from Traditional to Event-Driven Architectures 49:01 Challenges in Adopting New Methodologies 53:14 The Limitations of Test-Driven Development 56:56 The Future of Event Sourcing and AI Integration