What core technologies and infrastructure investments have been most critical in supporting your AI capabilities?
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CIO / Managing Partner in Manufacturinga year ago
Data
Data
Data
Venture Partner, VP Products, Chief Product Officer in Travel and Hospitalitya year ago
Open source foundation models, query optimized cloud native databases and lakes, semantic aware analytics tools
Chief Information Technology Officer in IT Servicesa year ago
Data Lakes and Warehouses, AI and ML algorithms require access to large volumes of data.
IT Manager in Constructiona year ago
I believe the data governance.
My few cents for core technologies and infrastructure investments for supporting AI capabilitues
- Source Data from apps and data store (seperating data warehouse, sturctured and unstructured data),
- Integration Layer with API Management / File Transfer / ETL,
- Hosting Layer with CPU/GPU machine, kubernetes, container, ML workspace, core infrastructure layer/services with firewall, gateway, active directory, DNS, SCCM, Load Balancer,
- AI Services Layer: Generative AI, Predictive AI (MLOps), Specialised AI (Bot, Search, CoPilot) etc.,
- If using Microsoft then 365 and GitHub licenses
The most important investment for AI is horizontal - Data Goverance, Data Privacy and Data Security.