The computer revolution in law took flight in the 1970s with the release of the iconic red “UBIQ” terminal. This innovation completely changed how legal document management was performed. It empowered lawyers to easily browse case law online rather than looking through towering racks of yellowed paper. As the years passed, a wave of new document management solutions emerged.

Let’s be honest – AI can seem like a bit of a mystery, and with this mystery comes myths and misconceptions. Is it actually that good? Can it handle varying document structures? Can it integrate with my existing systems? Because of this mystery, many companies have yet to take the leap and incorporate AI into their data processes. Today, we’re going to play MythBusters, separate fact from fiction, and show how you can use AI document processing to maximize efficiency and save costs.

The e-commerce market is growing. There is fierce competition with approximately 2.71 billion digital shoppers worldwide. In order to succeed in this environment, your e-commerce website needs to be both useful and interesting for users. This is where e-commerce web testing services are useful. E-commerce testing thoroughly assesses your web presence to ensure that it is trustworthy, easy to use, and safe.

At API Summit, Kong announced the upcoming beta release of a brand new gateway deployment method in Kong Konnect: Serverless Gateways. Designed for speed, simplicity of use, and affordability, it’s the quickest way to deploy a Kong Gateway. Today, we're pumped to announce that all Konnect Plus users can deploy a fully managed Serverless Gateway!

The Snowflake AI Data Cloud has democratized data for thousands of customers, removing data silos and powering data sharing and collaboration use cases. Many customers have been able to unlock enormous value from their data with Snowflake, including safely collaborating on sensitive data using Snowflake Data Clean Rooms and Data Governance features. However, some highly sensitive data has remained off-limits due to regulatory requirements and privacy concerns — until now.

When AI first started to gain widespread adoption, it sparked a wave of fear. While much of that fear was overblown, we still need to remain cautious about any new technological innovation. Given AI’s potential to drive change on a massive scale, applying ethical principles to AI is not just important, but urgent. Every company must prioritize responsible AI—not only as an ethical responsibility but as a practical, strategic choice.

As we transition into the next era of information technology, organizations face increasing pressure to deliver value to customers more rapidly. As well as higher quality, flexible access to data and applications and uncompromised security. Concurrently, they must manage growing complexity, including increasingly distributed hybrid cloud architectures and data sprawl – and accompanying costs – in order to remain competitive.

Nowadays, building robust and secure RESTful APIs is a fundamental task. However, developers often stumble upon a common challenge: Cross-Origin Resource Sharing (CORS) issues. These issues can hinder the integration of APIs from across different domains, leading to frustration and delays in development timelines. In this article, we’ll be discussing the intricacies of CORS, and figuring out why these security features are essential.