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FROM DATA SILOS TO
MULTI-SOURCES AND MULTI-AGENTS
COGNITIVE PLATFORMS
AYMERIC BRISSE
XLDB 2017 – LIGHTNING TALK
Big Data
| Applications
• NoSQL & distributed FS address the storage and access issues (Cassandra, CephFS, etc.)
• Data scientist & Machine Learning address the valuable information extraction issues
• This allows awesome services to be built (image recognition, recommandation, etc.)
• How to make these different services & data silos interoperable to cross-reference the data?
• How to make intelligible the mass of data now available to meet specific business needs?
2
| New challenges
Use case
| Example
• A TV Channel receives various content (footages, pictures, wires) from dozens of news agencies
• Automate the valuable information extraction
• Retrieve structured & intelligible information (who, where, what)
3
Cognitive Platform
4
| Workflow driven, based on multi-agents
Knowledge Graph
5
| Exploitable & Interoperable information
Stack
| Under the hood
6
• Base - Openshift (Kubernetes with Docker containers & DevOps tools)
• Runtime - One Docker image per Agent
• Communication - RabbitMQ for message delivery
• Databases - Various
• Storage - Ceph
• DevOps Philosophy - « 12-Factor App » (https://12factor.net/)
Aymeric BRISSE - CTO
aymeric.brisse@perfect-memory.com

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XLDB2017 : From Data Silos to Multi-Sources and Multi-Agents Cognitive Platforms

  • 1. FROM DATA SILOS TO MULTI-SOURCES AND MULTI-AGENTS COGNITIVE PLATFORMS AYMERIC BRISSE XLDB 2017 – LIGHTNING TALK
  • 2. Big Data | Applications • NoSQL & distributed FS address the storage and access issues (Cassandra, CephFS, etc.) • Data scientist & Machine Learning address the valuable information extraction issues • This allows awesome services to be built (image recognition, recommandation, etc.) • How to make these different services & data silos interoperable to cross-reference the data? • How to make intelligible the mass of data now available to meet specific business needs? 2 | New challenges
  • 3. Use case | Example • A TV Channel receives various content (footages, pictures, wires) from dozens of news agencies • Automate the valuable information extraction • Retrieve structured & intelligible information (who, where, what) 3
  • 4. Cognitive Platform 4 | Workflow driven, based on multi-agents
  • 5. Knowledge Graph 5 | Exploitable & Interoperable information
  • 6. Stack | Under the hood 6 • Base - Openshift (Kubernetes with Docker containers & DevOps tools) • Runtime - One Docker image per Agent • Communication - RabbitMQ for message delivery • Databases - Various • Storage - Ceph • DevOps Philosophy - « 12-Factor App » (https://12factor.net/)
  • 7. Aymeric BRISSE - CTO aymeric.brisse@perfect-memory.com