In today’s industrial landscape, efficiency and accuracy are paramount for success. For manufacturers, particularly those in the Heating, Ventilation, and Air Conditioning (HVAC) industry, ensuring the integrity of their products is crucial. However, challenges like leak detection and quality control can introduce costly inefficiencies.

Fivetran now supports the Milvus vector database as a destination, making it easier to onboard every data source for RAG and AI-powered search.

It’s the final day of Koyeb's Launch Week Round 2, and today we’re announcing the public preview of Volumes! Volumes on Koyeb are blazing-fast NVMe SSD you can use to persist data across deployments. After announcing Volumes in technical preview a few months ago, we are now opening the preview to all users on the Starter plan! Offering high throughput and low latency, Volumes open the door to a wide range of new workloads and use cases to handle the state of your applications.

A cloud database is a database stored and managed on a cloud computing platform, rather than on local or company-owned servers. his setup allows users to access and manage their data remotely, using a range of tools and applications provided by the cloud service. Cloud databases come in various forms, including relational databases, NoSQL databases, and data warehouses.

Learn why you should test your apps on new iOS versions, the best practices for testing on new OSes, and the essential features of iOS.

Multimodal AI is a critical player in the new wave of artificial intelligence. By combining different types of data like text, images, and audio, multimodal AI creates more intuitive and versatile AI systems that can more closely mimic human decision-making.

It’s no secret that artificial intelligence (AI) is revolutionizing the way companies operate with its ability to sift through mountains of data and make accurate predictions at record speed. But with great power comes great responsibility. As AI systems are more regularly incorporated into business, it’s critical that data sources are both accurate and secure to prevent error.

In the world of banking, challenges abound. Fragmented processes and add-on technologies that don’t integrate well with legacy equipment pose issues for financial institutions already struggling with ever-increasing regulatory compliance requirements and customer expectations. Banks have invested heavily in anti-money laundering (AML) solutions to keep up with heightened risks and remain competitive.