Systems | Development | Analytics | API | Testing

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.

Today we're excited to announce Kong Gateway 3.9! Since unveiling Kong Gateway 3.8 at API Summit 2024 just a few months ago, we’ve been busy making important updates and improvements to Kong Gateway. This release introduces new functionality around LLM support for AI governance and security and threat protection. Keep reading to learn more!

Integrating OpenAI with BigQuery unlocks powerful possibilities for AI-powered data analysis and advanced insight generation. This guide explores how the OpenAI BigQuery integration enables businesses to transform their data warehouses into intelligent analytics powerhouses.

Predictive analytics is changing how businesses make decisions. Companies can use data, machine learning, and statistical modeling to forecast outcomes with better accuracy. So, how can predictive analytics techniques transform your business? Predictive analytics uses historical data to predict future events. It involves understanding the relationships within your data to predict what's next, impacting industries from retail and healthcare to finance and manufacturing.

Implementing predictive analytics in healthcare empowers healthcare providers to take a data-driven approach to anticipating future events and making informed decisions. It helps healthcare professionals forecast the progression of diseases, plan and optimize resource allocation, and ultimately shift from reactive to proactive care. This approach improves patient health outcomes and overall efficiency.