Technology Infrastructure
A reliable and adaptable technology infrastructure is the backbone of your AI implementation.
Key focus
Providing a reliable, adaptable and secure foundation for AI systems.
It provides the foundation for developing, deploying and maintaining AI models and applications.
This includes the hardware, software and networks required to support AI’s computational demands.
Leveraging cloud platforms offers scalability, flexibility and cost-efficiency, while specialised hardware like GPUs or TPUs accelerates AI model training and inference.
Adopting open-source or commercial AI frameworks streamlines model development, while DevOps and AIOps practices ensure continuous integration and deployment.
Regular maintenance and performance checks, essential for Monitoring and Evaluation, are crucial to ensure optimal AI system operation and identify any potential issues.
Checklist
Five things to get right.
- 01Scalable and flexible infrastructure (cloud, on-premises or hybrid)
- 02Specialised hardware for AI workloads (GPUs, TPUs, etc.)
- 03Modern AI frameworks for streamlined development
- 04DevOps and AIOps practices for efficient development and operations
- 05Robust monitoring and maintenance processes for optimal performance
Maturity
What elevates it, and what diminishes it.
Elevates your maturity
- Automated infrastructure
- High-performance computing
- Efficient data integration
- Robust security
- Disaster recovery
Diminishes your maturity
- Legacy systems
- Inadequate hardware
- Lack of expertise
- Security risks
- No disaster recovery
How mature is your Technology Infrastructure?
We help you assess where your organisation stands in Technology Infrastructure and the other 13 areas, and what to strengthen next for sustainable, measurable results.