Systems | Development | Analytics | API | Testing

Learn the strategies for managing AI risk and compliance in regulated industries.

Happy New Year from the Yellowfin team to our valued customers and partners, and welcome to our 2024 recap! As Yellowfin's new General Manager (GM), I'm excited to share our progress in 2024 and our vision for 2025. Yellowfin is committed to empowering your organization with smarter business intelligence (BI) solutions that drive data-driven decisions.

Today, the demand for high-quality applications has never been greater. Agile methodologies, coupled with the rise of continuous integration and delivery (CI/CD), have significantly increased the frequency of software releases. Companies now deploy updates daily or even multiple times a day, placing immense pressure on QA teams to ensure reliability without slowing down the development pipeline.

This post was originally published in June 2023 and has been updated for comprehensiveness. Steve Jobs famously remarked that the way to boost programmer productivity is to create apps with less code. The market has finally caught up with his vision.

The world of business intelligence (BI) and analytics has evolved from descriptive to predictive, and now, to generative. Generative AI, a cutting-edge technology, is making its mark in embedded analytics solutions. These powerful AI analytics tools are assisting business users in analyzing their data sources more quickly and easily, generating new data sets for deeper insights, and helping make the embedded BI experience more accessible for more people.

In the fast-paced world of software development, time-to-market is everything. With AI and generative AI tools making their mark, developers now have the power to reduce development time drastically while maintaining high code quality. One such game-changing application? AI-powered VS Code extensions for unit testing. These intelligent extensions are not just tools; they’re enablers, helping teams ship features faster, reduce bugs, and maintain confidence in their code.

Artificial intelligence (AI) is changing the software development landscape, particularly in the quality assurance (QA) domain. According to a market study, the AI market is projected to reach US$826.7 billion by 2030, driven by a CAGR of 28.46% and widely adopted across industries globally. Speed in today’s market cannot be overemphasized because the market demands faster and much better quality software.

Welcome to this three-part blog series where we explore how to transform generative AI (GenAI) into a powerful, real-time solution that drives business success.

In Part I of this blog series, we laid the foundation for understanding how data fuels AI and why having the right data at the right time is essential for success. We explored the basics of AI, including its reliance on structured and unstructured data, and how streaming data can help unlock its full potential.

In a significant stride toward transforming AI infrastructure, ClearML has recently announced a collaboration with AMD. By integrating with AMD’s powerful hardware and open-source ROCm software with ClearML’s silicon-agnostic, end-to-end platform, we’re empowering IT teams and AI builders to innovate with ease across diverse infrastructures and integrate GPUs from multiple vendors.