Hi there! Today, we’re diving into how artificial intelligence is currently used in autonomous tasks. While AI has tremendous potential, it still often requires human supervision. Let’s explore three scenarios where AI can operate autonomously with the right constraints and data. Understanding Autonomous AI: The Balance of Power
We are working on building a new version of Tracardi that will use all our experience from the 1.x version and bring new quality to the table. We are exploring different areas where a new approach could bring real value. I am documenting my journey through this process, and
The first version of Tracardi provided invaluable insights into the demands of real-world data processing at scale. While the system functioned successfully in a number of use cases, production feedback and technical limitations exposed critical lessons and areas for improvement. This article outlines the key observations, necessary architectural changes, and
Introduction: In the rapidly evolving landscape of data-driven decision making, organizations increasingly recognize the limitations of traditional customer data platforms (CDPs). These systems typically focus on collecting and analyzing user-centric data, often falling short when it comes to understanding the broader picture of how businesses operate. Tracardi 2.0 is
Tackling the Challenge of Cross-Domain User IDs Introduction One of the challenges in user identification across multiple domains is the limitation imposed by local-only cookies and IDs. In Tracardi, this issue becomes apparent when a user transitions between domains, as we currently have limited options for passing their profile ID.