Raw data from IoT devices, like GPS trackers or electronic logging devices (ELDs), often lacks meaning on its own. However, if combined with information from other business systems, such as inventory management or customer relationship management (CRM), this data can now provide a richer, more complete picture for more effective decision-making. For example, combining GPS data with inventory levels can optimize logistics and delivery routes.

This year, Apple Intelligence will be available in beta. It's a set of artificial intelligence features that Apple will add to macOS, iOS, and iPadOS devices to offer consumers a more personalised experience designed to help improve their efficiency and productivity. There's a lot of excitement around what Apple Intelligence will bring to developers, consumers, and the ecosystem as a whole. You can read more about the possibilities our CEO believes it will unlock here.

With this latest update to Testim Mobile, we introduce unmatched test automation support across custom mobile applications not possible with other solutions. With proprietary technology available nowhere else, Testim Mobile authors tests that are more stable for cross-platform frameworks, like Flutter and React Native, and hybrid applications with embedded web views. Testim Mobile provides product development teams a complete AI-powered test automation solution, entirely in the cloud.

We announced the Kong Premium Technology Partner Program at API Summit 2024, and Confluent was one of the first in the program. This initial development was all about ensuring that the relationship between Kong and Confluent — from a business and product perspective — fully represented our joint belief that the world of data streaming and the world of APIs are converging.

On a day-to-day basis, Snowflake teams identify opportunities and help customers implement recommended best practices that ease the migration process from on-premises to the cloud. They also monitor potential challenges and advise on proven patterns to help ensure a successful data migration. This article highlights nine key areas to watch out for and plan around in order to accelerate a smooth transition to the cloud.

Organizations today face complex data challenges as they scale, with more distributed data architectures and a growing number of teams building streaming applications. They will need to implement Data Mesh principles for sharing data across business domains, ensure data sovereignty across different jurisdictions and clouds, and maintain real-time operations.