Systems | Development | Analytics | API | Testing

This year generative AI led to more disruption and innovation than ever before. Investment in AI research is expected to cross the $200 billion mark next year. The figure stood at $92 billion in 2022. AI has changed the world as we know it in 2024. This is true of how our relationship with AI has changed this year. We adopted it into our solutions through Astera Intelligence. But Astera Intelligence is just the tip of the iceberg of the things we accomplished this year…

In today’s fast-evolving tech world, seamless connectivity between applications and databases is critical, but often comes with challenges such as credential management and environment-specific configurations. Choreo simplifies this process by offering streamlined connection options to Choreo-managed databases, making it easy to integrate components with databases. We’re excited to announce our latest feature: database connections.

Interest in AI has surged since 2020 and has dominated conversations across headlines and boardrooms ever since. So it’s unsurprising that business development has followed suit — 81% of IT leaders listed AI and machine learning as an important or top priority in their 2024 budgets, according to survey results in Confluent’s Data Streaming Report. But is all this attention and investment leading to a near-term future where AI is ubiquitous and functions as intended?

When creating production-level applications, enterprises want to ensure the high availability of services. This often results in a lengthy development process that requires extensive testing for the applications or a new release. This involves testing the behavior of the application under load, measuring the performance metrics, and accounting for the resource consumption. All this is done to ensure that the application does not behave unexpectedly when being used by clients.

Invoice scanning software is a tool that helps businesses process invoices quickly and accurately by digitizing and extracting critical information from them. It uses technologies like optical character recognition (OCR) to read invoice details such as vendor names, dates, amounts, and line items. This software is especially useful for accounts payable teams and businesses that deal with a high volume of invoices, making their financial processes faster and more reliable.

2025 is going to be a big year for fintech. Many regulations, collaborations, and innovations that have emerged in 2024 will improve how fintech businesses engage with their customers in 2025. The market was already projected to be more than $608.35 billion by 2029. The valuation is only going to increase in the coming year. With all the changes in banking, payments, investment, and other financial sectors, the fintech space is up for substantial developments in 2025.

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.

In this tutorial, you will learn how to work with the gRPC Golang library for microservice communication by creating a simple note-taking application. You will generate a gRPC client that is highly efficient and has a service implementation that handles a diverse range of request and response types. APIs and service-to-service communication are what make modern microservice architecture possible.

Did you know that 52% of marketers say maintaining an active presence across multiple social media platforms was their biggest challenge in 2024? With billions of users across Instagram, LinkedIn, TikTok, and Facebook, the stakes for brands have never been higher. But trying to manage all these platforms without the right tools? That’s burnout waiting to happen.

Imagine you’re testing a specific feature in an app, say the login page. You’ve already run your test cases, and things look fine, but you want to go further. What if you hammer this one feature repeatedly, trying to break it by using unexpected inputs or extreme scenarios? Gorilla testing is an approach that is preferred when we are trying to understand in depth about a particular functionality.