XML (eXtensible Markup Language) and JSON (JavaScript Object Notation) are two of the most popular data interchange formats available.

In Part 1 of “Retail Media’s Business Case for Data Clean Rooms,” we discussed how to (1) assess your data assets and (2) define your data structures and permissions. Once you have a plan on paper, you can begin sizing the data clean room opportunity for your business.

In today’s market, the power of a cohesive brand identity cannot be overstated. However, manually configuring consistent branding themes across multiple platforms can be a tedious process. That’s where Asgardeo’s new AI Branding feature comes in, offering a smarter way to align your digital identity in Asgardeo with your own brand.

The dual-write problem occurs when two external systems must be updated in an atomic fashion. A classic example is updating an application’s database while pushing an event into a messaging system like Apache Kafka. If the database update succeeds but the write to Kafka fails, the system ends up in an inconsistent state. However, the dual-write problem isn’t unique to event-driven systems or Kafka. It occurs in many situations involving different technologies and architectures.

Artificial intelligence (AI) has emerged as a transformational force, converting many aspects of human existence. From simplifying daily activities to evolving industries, AI can change how we live, work, and communicate. However, AI’s growing use and integration into society have brought about severe concerns regarding accessibility and inclusivity due to the concentration of power.

As an Automation Enthusiats exploring in the realm of software testing, I’ve traversed a various tools and frameworks aimed at enhancing test automation processes. Because as the landscape of software testing continues to evolve, the demand for efficient and reliable test automation solutions has never been higher. Among these, Cypress and Keploy emerge as standout solutions, each offering distinctive features and capabilities tailored to different situations of test automation.

What do 82% of global executives say is crucial for AI success? MIT's latest findings highlight the importance of effective data integration.

More easily manage AI spend, build AI agents and chatbots, get real-time AI responses, and ensure content safety We're introducing several new Kong AI Gateway capabilities in Kong Gateway 3.7 and Kong Gateway Enterprise 3.7, including enterprise-only and OSS improvements. Read on for a full rundown of the new AI-focused features.

The generative AI industry is changing fast. New models and technologies (Hello GPT-4o) are emerging regularly, each more advanced than the last. This rapid development cycle means that what was cutting-edge a year ago might now be considered outdated. The rate of change demands a culture of continuous learning and technological adaptation.