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What's New in Kong Gateway 3.7?

We're thrilled to announce the general availability of Kong Gateway Open Source (OSS) 3.7. This latest version features cutting-edge AI Gateway updates with new streaming plugins, as well as performance and security improvements. Let’s dive into the enhancements and explore the tangible benefits that these features bring to your organization.

The Rise of AI in FP&A: How insightsoftware Empowers Your Team

Despite the transformative potential of AI, many financial planning and analysis (FP&A) teams are hesitating, waiting for this emerging technology to mature before investing. According to a recent Gartner report, a staggering 61% of finance organizations haven’t yet adopted AI. Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments.

How much is the cost to develop a flutter app?

When it comes to developing cross-platform apps, Flutter is one of the top choices that comes to developers' minds. But, what’s the reason behind it? Thanks to the innovative cross-platform development capabilities offered by the Flutter framework, creating native applications for both Android and iOS platforms has become remarkably simple.

Event-Driven Microservices in Banking and Fraud Detection | Designing Event-Driven Microservices

How do we know whether Event-Driven Microservices are the right solution? This is the question that Tributary Bank faced when they looked at modernizing their old fraud-detection system. They were faced with many challenges, including scalability, reliability, and security. Some members of their team felt that switching to an event-driven microservice architecture would be the magic bullet that would solve all of their problems. But is there any such thing as a magic bullet? Let's take a look at the types of decisions Tributary Bank had to make as they started down this path.

LLM Validation and Evaluation

LLM evaluation is the process of assessing the performance and capabilities of LLMs. This helps determine how well the model understands and generates language, ensuring that it meets the specific needs of applications. There are multiple ways to perform LLM evaluation, each with different advantages. In this blog post, we explain the role of LLM evaluation in AI lifecycles and the different types of LLM evaluation methods. In the end, we show a demo of a chatbot that was developed with crowdsourcing.

SmartBear Introduces HaloAI, Transforming Software Development and Test Productivity with AI Technology

SmartBear HaloAI is already delivering results in beta: shatters test times by 98% in the first 2 weeks with Zephyr Scale; automates half of QA tests, saving 20 hours per regression cycle.

Best LLM Inference Engines and Servers to Deploy LLMs in Production

AI applications that produce human-like text, such as chatbots, virtual assistants, language translation, text generation, and more, are built on top of Large Language Models (LLMs). If you are deploying LLMs in production-grade applications, you might have faced some of the performance challenges with running these models. You might have also considered optimizing your deployment with an LLM inference engine or server.

Web CI on Bitrise: Beta announcement

Mobile developers love using Bitrise, and we get it. But we also know your products and automation workflows extend beyond just mobile apps. That's why we're thrilled to announce Bitrise's expansion into web CI/CD! While in beta, this is your chance to help shape an industry-leading solution for your entire development process.