Artificial Intelligence | News, analysis, features, how-tos, and videos
A brief guide to data visualization, data analytics, and data science platform capabilities and differences, and seven steps to selecting the right data platform for your needs.
AI as a service (AIaaS) provides customers with cloud-based access for integrating and using AI capabilities in their projects or applications without needing to build and maintain their own AI infrastructure. Here are your options.
There is widespread fear in the securities and finance sectors that using generative AI will force companies to rely on giant cloud companies.
New platform product supports transactional, analytical, and AI workloads.
Microsoft delivers a one-stop shop for big data applications with its latest updates to its data platform.
Swift 6 also gets accommodations in the update to the Apple platform IDE, now in beta.
New Mosaic AI capabilities, all in preview, will help enterprises building generative AI applications on Databricks’ platform.
Oracle will interconnect with Google’s cloud to make its database services more widely available, while Microsoft is extending its Azure services into Oracle’s cloud to give OpenAI access to more capacity.
Apple Intelligence will put generative AI models at the core of its three platforms, drawing on personal context to assist with everyday tasks.
It’s no longer how good your model is, it’s how good your data is. Why privacy-preserving synthetic data is key to scaling AI.