When discussing web performance, particularly Core Web Vitals (CWV), image and JavaScript optimization often dominate the conversation.
However, an equally important yet sometimes overlooked aspect is web fonts.
As large files, web fonts can significantly impact performance, potentially delaying text rendering and affecting the user experience. Optimizing font loading is therefore a crucial element of a comprehensive performance strategy.
Additionally, typography is a cornerstone of effective design, branding, readability, and accessibility, with web fonts serving as the foundation for achieving these goals.
The following talk delves into the influence of web fonts on Core Web Vitals and explores strategies for optimizing their loading in React apps.

When discussing web performance, particularly Core Web Vitals (CWV), image and JavaScript optimization often dominate the conversation.
However, an equally important yet sometimes overlooked aspect is web fonts.
As large files, web fonts can significantly impact performance, potentially delaying text rendering and affecting the user experience. Optimizing font loading is therefore a crucial element of a comprehensive performance strategy.
Additionally, typography is a cornerstone of effective design, branding, readability, and accessibility, with web fonts serving as the foundation for achieving these goals.
The following talk delves into the influence of web fonts on Core Web Vitals and explores strategies for optimizing their loading in React apps.

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In this talk, attendees will gain practical insights into how Generative AI can be integrated into dashboard design to transform large, unstructured datasets into intuitive, actionable insights, ultimately improving decision-making and user engagement. Rather than overloading users with a multitude of graphs and data points, we enable them to input specific questions into the dashboard. The AI then generates personalized responses based on the most recent data, ensuring that insights are not only relevant but also aligned with the user's specific inquiries.