The ongoing progress in Artificial Intelligence is constantly expanding the realms of possibility, revolutionizing industries and societies on a global scale. The release of LLMs surged by 136% in 2023 compared to 2022, and this upward trend is projected to continue in 2024. Today, 44% of organizations are experimenting with generative AI, with 10% having already implemented it in operational settings. Companies must act now in order to stay in the AI Race.

Build your own generative AI chatbot! This post is a continuation of our earlier blog post, “Assembling a RAG architecture using Fivetran.”

Enterprise data migration is a complex and critical process that involves moving large amounts of data from one system or platform to another. Whether it is due to a system upgrade, consolidation, or merger, enterprises must carefully plan and execute data migrations to ensure a seamless transition without any data loss or disruption to business operations.

Exciting news this week! One of the latest features in Node.js core is the addition of support for requiring synchronous ECMAScript Modules (ESM) graphs. This enhancement promises to simplify the transition for package authors and users alike, as the ecosystem gradually shifts towards ESM. This long-awaited feature, enabled via the --experimental-require-module flag, marks a pivotal moment in Node.js development, addressing a persistent pain point for developers.

In the latest instalment of our interviews speaking to leaders throughout the world of tech, we’ve welcomed Dmitry Slabko, Software Engineer at EPAM Systems to share his experiences.

This is the story of the manufacturing of seven-league boots for a function that is responsible for processing XML/HTML data in the PHP library. Optimizations in the PHP standard library, like here in ext/dom, have the potential to speed up the performance of applications significantly by an upgrade to the current PHP version.

In computing, logging involves maintaining a record of events within a computer system, encompassing issues, errors, or pertinent information about ongoing operations. These events can manifest within the operating system or other software, with each occurrence documented through the creation of a message or log entry. Logging is crucial for comprehending the application's behavior, aiding in the identification of unexpected issues, debugging, or merely monitoring events.

They say a picture is worth a thousand words. The partnership between SAP and Tricentis makes Tricentis the go-to platform for SAP testing, and this image from a Tricentis Roadshow session with Marc Thier, SVP Application Lifecycle Management at SAP, sums it up quite nicely: SAP loves Tricentis! Since the partnership was established in 2020, hundreds of global enterprises using SAP solutions have adopted Tricentis testing applications to help accelerate and de-risk their business transformations.

Stop me if you’ve heard this one before, but there’s a lot of data out there — and the amount is only growing. Estimates typically show persistent data growth roughly at a 20% annual compounded rate. Capturing, storing, analyzing, and actioning data is at the core of digital applications, and it’s critical for both the day-to-day operations and detecting trends, for reporting, forecasting, and planning purposes.

Have you ever wondered how to track events in a large codebase? I gave it a shot using Apache Kafka®! Read on to learn how to use GitHub data as a source, process it using a Kafka Streams topology, and send it to a Kafka topic.