Systems | Development | Analytics | API | Testing

Ensuring quality has become critical in the rapidly changing environment of software development, where applications are constantly evolving, and customer expectations are high. Businesses are increasingly turning to automation testing services to meet this requirement by speeding up testing operations and improving software quality. Teams can now easily automate tests with Robot Framework, a potent tool for QA testing.

As we head into 2025, Qlik is taking a significant step forward in the evolution of our go-to-market approach by placing an even greater emphasis on our partnerships. This move is aimed at capturing the growing market opportunity in data integration, data quality, analytics and AI.

AI is proving that it’s here to stay. While 2023 brought wonder, and 2024 saw widespread experimentation, 2025 will be the year that manufacturing enterprises get serious about AI's applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AI’s biggest cheerleaders are turning a bit dour.

Large language models (LLMs) are at the heart of generative AI transformations, driving solutions across industries — from efficient customer support to simplified data analysis. Enterprises need performant, cost-effective and low-latency inference to scale their gen AI solutions. Yet, the complexity and computational demands of LLM inference present a challenge. Inference costs remain prohibitive for many workloads. That’s where SwiftKV and Snowflake Cortex AI come in.

Techniques that support agility have now assumed prominence in project management due to their ability to increase the probability of success. The current statistics reveal that the Agile project success rate is at 64% while the Waterfall project success rate is only at 49%. This is a prominent difference that shows how the Agile team performs successfully in fulfilling several project constraints. In terms of financial considerations, Agile makes a huge difference.

Yellowfin provide extensive customization for the design of dashboard content so you can achieve the exact look and feel required for your unique business audience and use case. Out-of-the-box, our drag-and-drop design canvas (Yellowfin Canvas) and low-code, no-code user interface enables non-developers to easily access many handy features. However, sometimes, you may want to extend Yellowfin further, or control the design and layout of your dashboard in a more specific way.

By Erez Schnaider, Technical Product Marketing Manager, ClearML In a previous blog post, we demonstrated how easy it is to leverage Arm Neoverse-based Graviton instances on AWS to run training workloads. In this post, we’ll explore how ClearML simplifies the management and deployment of LLM inference using llama.cpp on Arm-based instances and helps deliver up to 4x performance compared to x86 alternatives on AWS. (Want to run llama.cpp directly?

Looking under the hood and load testing Fivetran’s data pipelines.