Forbes contributors publish independent expert analyses and insights. Data, Analytics and AI Strategy Advisor and Researcher An analysis of more than 1000 organizations generating measurable value ...

From listening to any kind of survey of what people are talking about in AI right now, we know that privacy is important. And that’s an understatement. Time and time again, we hear people talking ...

Large companies are drowning in fragmented data: Customer records spread across multiple systems. Inventory and logistics information disconnected across suppliers and geographies. Unstructured data ...

Subramanian says that unstructured data can come in various file types, from documents to images to videos to specific formats within these application-generated data, such as genomics data, IoT data, ...

The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. BY Krishna Subramanian The ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

Unstructured data, be it raw data from news articles and research reports, or images posted on social media, is growing exponentially. In fact, it is predicted that more than 80% of all new data is ...

In this podcast, we talk to Boris Bialek, vice-president and field chief technology officer (CTO) at MongoDB, about how artificial intelligence (AI) can help with discovery and management of ...

The promise of interoperability remains a distant goal, but newer technologies like AI and natural language processing, combined with older technologies such as optical character recognition (OCR), ...

Institutions need to move away from a reactive habit of expanding storage and towards a more deliberate data management model based on understanding and control.

Teradata reports that 88% of AI pilots fail to reach production due to fragmented data architectures, highlighting the need ...

Buy-side firms are consistently faced with burgeoning volumes of data, necessitating adept management of expansive data extractions, a task fraught with intricacies and considerable costs. Arthur Orts ...