As AI reshapes industries, most businesses still depend on data platforms built for a previous era of technology. In the age of big data, platforms like Snowflake, Databricks and Cloudera ...

Enterprises are shifting from simply storing data to harnessing it through layered, AI-ready data platforms that integrate seamlessly across the stack. The trend is pointed toward trusted foundations ...

Forbes contributors publish independent expert analyses and insights. Robert, founder of KramerERP, covers AI, ERP, SCM, data and security. This voice experience is generated by AI. Learn more. This ...

Most companies today deal with the same frustrating situation. Their data lives in too many places. Customer information lives in Salesforce. Product data sits in MySQL. Analytics run in Snowflake.

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...

‘We don’t accept that data gravity is a necessity. We can eliminate data gravity. We can allow data to transcend these silos through orchestration and a single global namespace,’ says Hammerspace ...

Supermicro's advanced GPU and storage architectures form the backbone of seven next-generation AI Data Platform solutions. Built with industry leaders including Cloudian, DDN, Everpure (formerly Pure ...

In the rapidly changing digital world of today, financial institutions need to keep changing to fulfil the emerging needs of technology-adopting consumers. Hemish Kapadia, a veteran digital ...