By now, every organization, regardless of industry, has at least explored the use of AI, if not already embraced it. In today’s market, the AI imperative is firmly here, and failing to act quickly could mean getting left behind. But even as adoption soars, struggles remain, and scalability continues to be a major issue. Organizations are quick to adopt AI, but getting it established across the organization brings a unique set of challenges that come into play.

Artificial intelligence (AI) is kind of a big deal. And when things are a big deal, they're ripe to be exploited. Fortunately, mounting concerns about AI security and privacy are met by plenty of guidance on best practices from the good folks in the open source world. The OWASP AI Security Project has emerged as a crucial initiative, offering developers clear, actionable guidance on designing, creating, testing, and procuring secure and privacy-preserving AI systems.

Testing is checking if your code works the way it’s supposed to. When you write a program, you have an idea of what it should do. Testing is the process of making sure it does that. It’s like double-checking your work. In this article, we’re diving into the world of React testing using two powerful tools: Jest and React Testing Library. We’ll explore how these tools work together to create robust, reliable tests for your React applications.

The addition of the Stream API was a significant enhancement in Java, introducing a powerful way to handle collections with functional-style operations. In Java 9, several improvements were made to this feature, adding more capabilities and refining its functionality. This tutorial will explore both the original Stream API and the enhancements introduced in Java 9, focusing on practical examples to illustrate their usage.

This summer marks five years since we announced our first fully managed connector on Confluent Cloud in 2019, the Amazon S3 Sink Connector. Since then, our connector offerings have not only expanded significantly but also enabled teams to send hundreds of petabytes of data throughput. Today, we support over 80 pre-built, fully managed connectors, custom connectors, and secure private networking.

Hey, you! Yeah, you! The puzzled-looking Spring Boot developer, scouring the web for a guide on integrating your microservices with Apache Kafka on Confluent Cloud with Stream Governance. Admit it, you’ve been Googling nonstop for the past hour and all you’ve found are examples using StringSerializer/StringDeserializer with not even the slightest mention of "schema registry-aware" serialization methods. And I bet the examples you found are implemented in Java.

Agile and Waterfall are two popular project management methodologies. Agile suits projects that require flexibility and frequent updates, while Waterfall is ideal for projects with clear, unchanging requirements. Let’s explore further the differences between these 2 approaches!

Digitalization, as we’re talking about in this article, refers to the strategic use of digital technologies and analytics to shift customer interactions from physical locations to digital platforms like apps and online services.

Whether you’re working in the marketing department or the operations department, you’ve probably heard a lot about APIs and API integrations. API integration is the process of connecting different software systems or applications through their respective APIs to enable them to communicate and share data seamlessly. These have become the “buzz” terms of IT departments in recent years as more enterprises embrace the trend toward digital transformation.

At Snowflake, our product philosophy is centered on a single unified platform, and thus, a single core engine. To support all your workload needs with unmatched performance and efficiency, we continuously enhance and deliver performance improvements on this core engine. This approach allows you to benefit from enhanced performance effortlessly, without incurring additional costs or requiring migrations, upgrades or manual intervention.