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AI Knowledge Graphs On-Premise

Science & Technology


AI Knowledge Graphs On-Premise

In an era dominated by cloud computing and storage, countless microservices constantly communicate and share sensitive information through centralized applications. As such, securing and owning your data becomes essential for certain applications and industries, with some companies even training their AI models using your data.

On-premise Knowledge Graph implementations offer the ultimate secure and high-performance solution. By keeping data local, you eliminate privacy and security risks, protect intellectual property, and meet strict industry regulations. This setup ensures low latency for real-time optimization and fraud detection, integrates seamlessly with existing systems, and delivers the high-performance computing needed for advanced applications like drug discovery and supply chain optimization.

In terms of security compliance and performance, Equitus AI at the edge on IBM Power 10 servers stands out as a powerful option for businesses and organizations looking to keep their data secure while benefiting from cutting-edge technology.

Keywords

  • On-premise Knowledge Graph
  • Data security
  • Privacy risks
  • Intellectual property protection
  • Industry regulations
  • Real-time optimization
  • Fraud detection
  • High-performance computing
  • Drug discovery
  • Supply chain optimization
  • Equitus AI
  • IBM Power 10 servers

FAQ

Q: Why is data security important in cloud computing?
A: Data security is crucial in cloud computing because countless microservices communicate sensitive information through centralized applications. Securing data ensures that privacy and intellectual property are protected, and industry regulations are met.

Q: What are on-premise Knowledge Graph implementations?
A: On-premise Knowledge Graph implementations involve keeping data local rather than in the cloud, which eliminates privacy and security risks and ensures compliance with strict industry regulations.

Q: How does keeping data local improve performance?
A: Keeping data local ensures low latency, essential for real-time optimization and fraud detection, and provides the high-performance computing needed for advanced applications like drug discovery and supply chain optimization.

Q: What are some benefits of using Equitus AI and IBM Power 10 servers?
A: Equitus AI and IBM Power 10 servers offer a secure, high-performance solution for on-premise data management, ensuring data privacy, meeting regulatory standards, and delivering the necessary computing power for advanced applications.