Yoni Leitersdorf and Tal Segalov gathered a $20 million seed investment to launch Solid, an AI platform that aims to solve the “context crisis” most companies face when implementing AI solutions.

Hiring helps, but hiring without a system to scale expertise is how organizations accidentally scale inconsistency.

Organizations addressing data quality issues as a strategic operation are positioned to adapt to latest trends and scale ...

Abstract: Data consistency is crucial for ensuring the reliability and accuracy of workflow systems. Inconsistent data caused by improper data operations, if not promptly repaired, can compromise the ...

Data gaps usually aren’t “missing data” as much as late, inconsistent, or hard-to-use data that slows decisions across operations, quality, and supply chain. Recent research shows many organizations ...

Autonomous agents will soon run thousands of enterprise workflows, and only organizations with unified, trusted, context-rich data will prevent chaos and unlock reliable value at scale. Provided ...

1 Department of Software Engineering, University of Isfahan, Isfahan, Iran 2 Department of Scholarships and Cultural Relations, Ministry of Higher Education and Scientific Research, Baghdad, Iraq ...

Cell clustering can vary wildly depending on algorithm settings like the random seed — even with the exact same data. scICE automatically detects and removes unstable groupings, giving researchers ...

I encountered an issue when using MySQL to sync player data: there is a chance that data fails to synchronize properly when players switch between servers quickly, resulting in data loss. This is ...