
Explore key design principles for adaptive layouts and best practices for optimizing apps on foldable and large screen devices, ensuring optimal user experience across different resolutions and states.

Explore techniques to measure and compare app performance, including emerging universal standards for mobile performance scoring.

Explore challenges in Android UI development for versatile interfaces across devices. Uncover nuances of adaptive layout and overcome obstacles in creating truly adaptive applications.

Master Jetpack Compose animations to create polished, intuitive Android UIs. Learn to implement common scenarios using various Animation APIs for enhanced user experience.

Learn to build localized Elixir applications for global or specific audiences. Explore design patterns, workflows, and libraries to improve user experience and engagement through effective localization techniques.

Explore the impact of user context on app testing and defect response. Learn empathetic testing strategies to enhance software quality and user experience across various applications.

Explore OTP-26 shell improvements and prototype Erlang modules using ChatGPT. Learn multiline expressions, function definitions, and type completions while building an app interactively.

Explore challenges and solutions for integrating AI chatbots in business, focusing on practical implementation and overcoming common obstacles.

Explore design thinking principles for AI product development, addressing challenges in scaling, adoption, and trust while emphasizing empathy, ideation, and prototyping.

Explore team topologies in platform engineering, covering key principles, team dynamics, real-world examples, and strategies for building effective platforms as products.

Explore DevOps strategies for user retention, focusing on customer data, collaboration, and product improvements to drive business impact and stay competitive.

Learn effective strategies for explaining search relevance to non-technical stakeholders, from CEOs to clients. Gain insights on communicating complex search concepts and their importance.

Learn to construct representative query sets for offline evaluation in AI/ML experimentation, enhancing understanding of algorithm impacts and streamlining A/B testing processes.

Explore ML-powered search development through hypothesis-driven approaches. Learn from Uzum Market's journey in building a large-scale search system for e-commerce, focusing on metrics, evaluation, and AB testing.

Explore methods to evaluate embedding-based retrieval quality using organizational knowledge, improving relevance and expanding recall for e-commerce search beyond historical data.

Explore fairness in search results with NIST Scientist Emeritus Ellen Voorhees, discussing challenges and potential solutions in information retrieval systems.

Explore significant A/B test results of Vector (Hybrid) Search in e-commerce, revealing revenue increases and improved user engagement. Learn about embedding creation and result blending techniques.

Learn effective data visualization techniques to represent insights concisely, choose appropriate charts, and craft compelling data stories for impactful communication.

Master the art of creating impactful dashboards. Learn a 7-step framework to design visually appealing, audience-focused data visualizations that effectively communicate insights and drive business decisions.

Explore a novel approach to optimizing ad strategy for mobile apps, leveraging machine learning to maximize revenue without compromising user experience or in-app purchases.

Explore the creation of a scalable search engine using online machine learning systems for improved consumer experience and intent matching.