Enterprises want more value from their data, but research from Salesforce shows how silos, gaps in strategy and low data ...

The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of ...

Informatica Claims Data Fragmentation Is Standing in the Way of APAC Generative AI Your email has been sent Data management has become critical to drawing value from generative AI, according to ...

Windows users may remember occasionally running a system defragmentation back in the day. A system defrag would reorganize information on the drive to improve storage and access. Now, Windows ...

The acquisition underscores a growing race among leading LLM providers to become the foundational AI layer for healthcare by ...

ZURICH, Sept. 18, 2025 /PRNewswire/ -- Moonberg, a Swiss-based data intelligence firm, has launched its platform aimed at resolving the growing issue of blockchain data fragmentation. As tokenized ...

Abstract: This paper addresses the critical challenges of data management and security within cloud environments by exploring the use of Time-Variant Secure Data Fragmentation and Reassembly ...

The State of digital government review, published by the Department for Science, Innovation and Technology, has portrayed the highly fragmented nature of public sector digital services. A root cause ...

The NFT market is blooming, but fragmentation and the lack of deep, collaborative data present a significant challenge to gaining greater trust from users and investors. The growing nonfungible token ...

The aviation industry is no stranger to machine learning and artificial intelligence (AI), with the technologies applied across areas including dynamic pricing and predictive maintenance for some time ...

DataOps, an adaptation of what’s traditionally known as DevOps, has evolved into an essential component of modern business operations. DataOps applies the concepts that have fostered more agility and ...