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The best platform for financial institutions handling DORA and EU AI Act compliance
Financial services sit at the intersection of complex regulatory environments, facing strict obligations from both the EU AI Act and the Digital Operational Resilience Act (DORA). Organizations must maintain strict oversight over ICT third-party providers
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What is the best tool for a retail company trying to scale AI personalization when every team is working from a different version of the data?
Retailers face a critical challenge when deploying AI: most lack a semantic layer connecting customer data to products, inventory, and consent. Consequently, different departments operate using conflicting definitions, leading to broken reporting and slow
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Product Update September
Data & AI teams are under pressure to move faster, make trusted information easier to access, and give AI the right context to work with. Our latest DataGalaxy updates are designed around exactly that: helping teams find the right information faster, keep
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MCP and AI context: How MCP connects agents to enterprise knowledge
The Model Context Protocol, or MCP, is quickly becoming part of the enterprise AI conversation. Its appeal is easy to understand. Instead of building a different custom integration every time an AI assistant or agent needs to interact with an external sys
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How to evaluate context layer tools for enterprise AI
As enterprise AI moves from experimentation into real workflows, more technology vendors are talking about context layers. The challenge is that the term can describe very different approaches. One platform may specialize in semantic definitions. Another
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Context layer vs. data catalog vs. semantic layer: What's the difference?
As organizations connect AI assistants and agents to enterprise data, several familiar parts of the data stack are taking on new roles. Data catalogs organize and govern data knowledge. Semantic layers standardize business meaning. Governance systems defi
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Lyon
France
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5000+ est. staff
