Knowledge graphs gain ground for AI context in enterprises
Enterprise tech leaders are exploring knowledge graphs—a way to map relationships between data points—as a crucial tool for giving AI better context at work. Recent industry discussions focus on how knowledge graphs can capture informal knowledge, like what’s discussed in meetings but rarely written down. However, there’s concern that building these graphs by hand won’t scale, so automation and AI-driven tools are being suggested to make them practical for larger businesses.
- Knowledge graphs organize business data and relationships
- AI 'interviewers' help record unwritten knowledge
- Ontology disputes stall knowledge projects
- Manual graph-building doesn't scale for big firms
- Experts recommend automation for enterprise-wide implementation
Sources covering this
More in Enterprise
Cloudflare launches cf CLI for full API access
Cloudflare just announced cf, a new command-line tool that gives both humans and AI-powered agents access to all of Cloudflare's…
Meta launches Enterprise Platform, hires new enterprise chief
Meta has hired CJ Desai, until now the CEO of MongoDB, to run its new enterprise AI division, Meta Enterprise Platform.
Google Cloud launches Z4D VMs for storage-heavy workloads
Google Cloud has released its new storage-optimized Z4D virtual machines and bare-metal instances to all customers.
Databricks gives 14,000 employees instant access to new AI models
Databricks now provides its 14,000 employees immediate, company-wide access to new frontier AI models as soon as they drop.