What core technologies and infrastructure investments have been most critical in supporting your AI capabilities?

Disruptive & Emerging Technologies AI & Machine Learning Infrastructure

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IT Manager in Construction6 months ago

I believe the data governance.

Chief Information Technology Officer in IT Services5 months ago

Data Lakes and Warehouses, AI and ML algorithms require access to large volumes of data.

Venture Partner, VP Products, Chief Product Officer in Travel and Hospitality5 months ago

Open source foundation models, query optimized cloud native databases and lakes, semantic aware analytics tools

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CIO / Managing Partner in Manufacturing5 months ago

Data
Data
Data

IT & Strategy Advisor to CxOs || Digital & Enterprise Architecture Consultant in Consumer Goods5 months ago

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.