Portal feature flag implementation
Feature flags, also known as feature toggles, are a powerful technique used in software development to control the activation of features within an application or portal. They allow developers to….
Tag: A/B Testing
Web Tracking
In the digital age, where almost every customer journey starts—or continues—online, understanding user behavior has never been more crucial. Web tracking is at the heart of this understanding. It empowers….
Forms and Landing Pages
In the digital age, capturing leads and driving conversions is at the heart of a successful marketing strategy. Businesses must leverage various tools and techniques to turn website visitors into….
Marketing Emails and Templates
Introduction In the digital age, where customers are inundated with information from all directions, email marketing remains one of the most effective and personal ways to connect with audiences. Whether….
Feature Flag Management in Model-Driven Apps
Introduction In the modern era of software development, agility and flexibility are paramount. Companies and developers are under constant pressure to deliver new features, enhancements, and fixes at a rapid….
Building Custom Pricing Engines
In today’s competitive market, businesses are increasingly turning to custom pricing engines to optimize their pricing strategies. These engines leverage data analytics, machine learning, and real-time market insights to set….
A/B Testing in Power Pages
A/B testing is a powerful technique used to compare two versions of a webpage or a specific element of a webpage to determine which one performs better. It is an….
Feature Flags and Experimental Rollouts
In the modern era of software development, agility and flexibility are crucial to ensure that products can adapt quickly to changing market conditions, user demands, and business goals. Feature flags….
Not testing ML pipelines
The Critical Importance of Testing Machine Learning Pipelines In the rapidly evolving field of machine learning (ML), the development of robust and reliable pipelines is paramount. These pipelines encompass the….
Not monitoring model drift
Understanding and Addressing Model Drift in Machine Learning Introduction In the realm of machine learning (ML), models are often trained on historical data to make predictions or classifications. However, over….