Effective management of this collection of systems and services involves skillful instrumentation and lightning-fast root cause analysis when things go awry. Rule4 has the unique combination of experience and skills to span the breadth of this complex landscape.
AI Governance
Ensuring AI is used appropriately.
AIOps is the buzzword — AI for IT operations. But what about its cousin, IT operations for AI?
A production-grade, fully functional ecosystem to support the use of AI/ML in your enterprise environment requires, among other things, a number of supporting subsystems:
Data collection and ingestion
Orchestration engine
Auto scale-up/scale-down
ETL
API gateway(s)
Configuration management
Cybersecurity protection (IDS, IPS, IAM, event logging, certificate management, authentication, etc.)
Server infrastructure (cloud, on-premise, or both)
Application platform scaffolding
Network/SDN management (VPN tunnels, routing, bandwidth management, etc.)
Monitoring
Data validation and verification
Without these subsystems, the core AI/ML engine (even in an IaaS/PaaS/SaaS) environment cannot exist — not to mention thrive — in a production environment.
Build your ML/AI house on a solid foundation!
Let's discuss your organization’s ML/AI ecosystem security challenges and opportunities.
