Pickers are UI elements, provided by SwiftUI, that enable our users to choose between multiple options while using our iOS app. In this article we’ll have a look at them to see the various types and explore how they’re declared, configured, and styled. Together with SwiftUI buttons, pickers are one of the most used UI elements in iOS apps.

The emergence of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) have enabled the world to immerse into the true digital experiences, blurring the lines between the physical and virtual worlds. While AR overlays digital content in the real world, VR creates entirely immersive digital environments, and MR brings together the elements of both. In the last few years, there has been a dynamic surge in the adoption of AR, VR, and MR technologies.

Ready to implement generative AI in your business processes? Starting with the right generative AI use cases is key to your success. You’ll want to find areas where you can achieve quick wins as you grow toward your larger AI vision. In this article, we’ll highlight five use cases where you can incorporate generative AI for increased process efficiency.

Amazon Aurora PostgreSQL represents a significant leap forward in database technology, skillfully combining the innovation of Amazon’s cloud capabilities with the reliable framework of PostgreSQL. It's not merely a database; it's a solution designed for the cloud, promising high performance, availability, and compatibility with PostgreSQL. This guide aims to walk you through the setup process comprehensively.

Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem. Businesses increasingly recognize AI solutions as critical differentiators in competitive markets and are ready to invest heavily to streamline their operations, improve customer experiences, and boost top-line growth.

Customer service is an art—and a science. It isn’t just a transactional function. It's also a relationship building activity that’s deeply tied to physiological responses in our brains. And the stakes are high: these interactions shape the neural architecture of customer loyalty. So can you use AI for customer service? Let’s explore that question.

The rise of generative AI (gen AI) is inspiring organizations to envision a future in which AI is integrated into all aspects of their operations for a more human, personalized and efficient customer experience. However, getting the required compute infrastructure into place, particularly GPUs for large language models (LLMs), is a real challenge. Accessing the necessary resources from cloud providers demands careful planning and up to month-long wait times due to the high demand for GPUs.