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.

Imagine you need to explain the key differences between Test Plans and Test Strategies at a software developer’s meeting. You know there’s a distinction, but the details blur together. Don’t worry; you’re not alone. This post which includes some test plan examples, is designed to clear up the confusion surrounding these crucial documents, essential for understanding the framework of successful software testing.

Artificial Intelligence (AI) is transforming industries across the globe, driving innovation, improving efficiencies, and unlocking new possibilities. From autonomous vehicles to personalized healthcare, AI’s capabilities are vast. However, as AI systems become more integrated into our daily lives, the question of trust becomes critical. Can we trust AI to make decisions that align with our values? Can we be sure that AI systems are secure from manipulation or bias?

Need groceries? Just order online. Want printouts on priority? Upload it online and get it delivered to your doorstep in no time. Looking for a cook? Well, there’s an app for that too! So, why should the pharmacy industry be left behind? That’s why the demand for pharmacy app development came into the picture. Reason?

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!

Being able to create and share insightful data-led stories to support your dashboards and reports is a critical capability in today’s modern workplace. You want your data to be accessible for more people, and ensure everyone gets value from your investments. Data storytelling tools bring valuable context to the ‘why’ behind the results, while inspiring your audience to care about and act on insights.

Adtech and martech companies are engaged in a fierce battle for audience attention. Customers are bombarded with thousands of ads and marketing messages every day, and the average attention span is plummeting, so it’s no wonder they tune out — or turn on ad blockers. But it’s not all doom and gloom. The global adtech market is expected to grow at a rate of 22.4% through 2030, and martech’s projected growth rate is 18.5% through 2032.

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.

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. One of the most important innovations in data management is open table formats, specifically Apache Iceberg, which fundamentally transforms the way data teams manage operational metadata in the data lake.

Test automation is awesome. No doubt about that. However, sometimes test scripts just…fail, and it’s quite frustrating. What makes test automation fail in the first place? Knowing these root causes, we can easily develop best practices to make them run smoother and faster.