Systems | Development | Analytics | API | Testing

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Maximizing Business Impact: Best Practices of AI Product Analytics

According to Gartner, 87% of organizations are classified as having low business intelligence and analytics maturity, meaning they struggle to extract value from their data. This alarming statistic highlights a common struggle—turning raw data into actionable insights. Product teams often find themselves overwhelmed by the sheer volume of information they collect. Extracting meaningful patterns, deciphering user behavior, and predicting market trends from this sea of customer data can seem daunting.

Understanding HIPAA EDI Transactions in Healthcare

The healthcare system is always on the cutting edge of new technologies—but it's also one of the most heavily breached industries. The HIPAA Journal reported that the largest healthcare information data breach between 2009 and 2024 occurred in 2015 when hackers illegally obtained the health records of nearly 79 million Anthem Health subscribers1.

Launch Jobs & Setup Online Development Environments Directly from CLI

When it comes to managing AI projects, the Command Line Interface (CLI) can be a powerful tool. With ClearML, the CLI becomes an essential resource for creating job templates, launching remote for JupyterLab, VS Code, or SSH development environments, and executing code on a remote machine that can better meet resource needs. Specifically designed for AI workloads, ClearML’s CLI offers seamless control and efficiency, empowering users to maximize their AI efforts.

S1.E18: API testing | QA Therapy Podcast

API testing is crucial for enhancing the overall quality and reliability of our software. By identifying bugs and errors early in the development process, developers can address them promptly, preventing them from escalating into significant issues. Today, we're fortunate to have Diogo Rede as our guest. As a Solution Architect and Test Advocate with extensive experience in testing and automation.

Diving Deep: How Qlik Services Help You Explore the Depths of Data

A little-known fact about me is my love for scuba diving. There’s nothing quite like the feeling of being so close to nature, exploring the mysteries of the underwater world. Every chance I get, I dive into the ocean’s depths, uncovering hidden wonders that most people never get to see. That got me thinking about the similarities between data and the ocean. Just like the vast, uncharted waters of the sea, the world of data holds incredible potential—if you know how to navigate it.

What's New in ThoughtSpot - 10.1 Cloud Release

ThoughtSpot Analytics Cloud 10.1 is now available! Stay informed about critical changes in your business KPIs with anomaly-based alerts. Highlight patterns and trends in your data with advanced conditional formatting. Effortlessly handle human-in-the-loop feedback with new pagination, filters, and sorting options.

Stateful vs. Stateless Web App Design

The difference between stateful and stateless applications is essential when developing APIs. However, if you’re not a developer who’s working with stateful and stateless systems, you might not fully understand these concepts. More importantly, you may not know why stateless REST APIs are so essential to building scalable web applications? Here are the key takeaways to know about stateful vs. stateless apps.