From misclassified data to AI use without adequate quality assurance, IT leaders looking to make the most of data-driven ...

According to recent analysis published by MIT, AI models’ data requirements may be outpacing the supply of suitable, usable data available today. The median training dataset contained about ...

In an enterprise world drowning in dashboards, one truth keeps surfacing: Data isn’t the problem—product thinking is.

Strategy (formerly MicroStrategy) is debuting Strategy Mosaic, an AI-powered Universal Intelligence Layer designed to enable AI applications by connecting disparate data sources across the enterprise, ...

AI: The Game-Changer. Business users need data insights delivered in real-time and within the appropriate business context. This requires a holistic integration between data platforms and business ...

The SAP Business Data Cloud is a software-as-a-s ervice single platform that unifies your data and analytics needs and centralizes data from SAP and non-SAP sources into a unified semantic layer ...

New guidance includes a list of 10 best practices to protect sensitive data throughout the AI life cycle, as well as tips to address supply chain and data-poisoning risks.

Some companies believe they can scale the data wall by using synthetic data — that is, data that is itself generated by A.I. systems — to train their models.