Some of the responsibilities of a team leader is to empower your team with the necessary tools and skill sets so that they can excel at what they do. According to the State of Quality Report 2024, some of the most prominent challenges QA teams face include a lack of time to ensure quality, difficulty in applying test automation, and frequent changes in requirements. Training and education is the key to overcoming such obstacles.

N+1 queries are a frequent issue in complex applications built with Elixir and Phoenix. These queries can silently degrade application performance, often going unnoticed until they've compounded into a significant problem. They can substantially increase web page load times, as each additional query adds overhead to a database, consuming more time and resources. That's why it's crucial to detect and resolve N+1 queries to optimize production systems.

Software testing is welcoming the upheavals in the digital world, including the emergence of AI, data analytics, cloud computing, and more. Businesses are engaging with more sophisticated testing versions like continuous testing, shift left, security testing, and more. That’s why a world aspiring for applied AI reports a CAGR of more than 7% post-2024. Therefore, businesses across industries unanimously agree upon the critical importance of software testing.

Figma is becoming the industry standard for digital design, despite being relatively new in the market. Within eight years from its launch, it has managed to win over 40 million active users across the globe. What’s driving Figma’s growth is its ability to make collaboration effortless, no matter where your team is.

We are thrilled to announce the general availability of the Cloudera AI Inference service, powered by NVIDIA NIM microservices, part of the NVIDIA AI Enterprise platform, to accelerate generative AI deployments for enterprises. This service supports a range of optimized AI models, enabling seamless and scalable AI inference.

After being recognized by Gartner as the leading generative analytics experience for augmented analytics, ThoughtSpot’s SpotIQ just got an upgrade. As an integral part of ThoughtSpot’s core platform for nearly seven years, SpotIQ has unlocked the value of billions of rows of data for hundreds of customers. Even more inspiring are the customer testimonials highlighting how SpotIQ empowers business users to perform complex analytics and analyze key metrics—even on the go.

Today, there are approximately 7 million people who say they wouldn’t be able to survive without their gadgets. Because of this, businesses must modify their websites and applications to cater to their client’s expectations. Emerging patterns prompt businesses to consider creating iOS and Android mobile apps with the top framework libraries that may greatly streamline and accelerate the development process.

When scaling data science and ML workloads, organizations frequently encounter challenges in building large, robust production ML pipelines. Common issues include redundant efforts between development and production teams, as well as inconsistencies between the features used in training and those in the serving stack, which can lead to decreased performance. Many teams turn to feature stores to create a centralized repository that maintains a consistent and up-to-date set of ML features.