How Q works with James Bond, or how to do agile AI in the ...
summary
Preligens describes delivering advanced AI and big-data software for defense and intelligence that must run on-premises in highly secure, air-gapped environments. The talk explains how to keep a modern product and technology approach—including deployment automation, testing, DevOps and product practices—when client stacks are inaccessible and data is classified, and shows how to adapt SaaS-style practices to rigid, security-focused agencies.
AI-written summary · about
chapters (4)
- 0:00Start
- 8:31Cloud AI engineer
- 17:07Access to model: build an AI factory
- 29:22Access to stack: quality over speed
related talks
40mImplementing Amazon Q Business for Enterprise AI Assistants
29mQA vs AI: Friends or Foes?
07mSovereign AI for Defense
01h 04mPanel Discussion: Reinventing the QE Practice at Global Scale in Agentic Era
45mAI Security, from PoC to Production
30mBoost employee productivity with Amazon Q Business
31mScaling Quality in a Decision Intelligence Platform: The Agentic QA Playbook
43mThe Prompt Guardians: Threats and Security Recipes for Zen Production
