Cover Image for From Pilot to Production
Cover Image for From Pilot to Production
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Presented by
Panoramai
GEN AI SUMMITS
21 Went
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About Event

From Pilot to Platform — GenAI Infrastructure Choices that Scale

45-minute hands-on workshop led by Eric Leroy, Manager at Colombus

Your GenAI PoC is validated. What's next? This interactive workshop guides you through critical decisions to transform your pilot into a robust, scalable enterprise platform.

Pragmatic workshop format:

  • Vendor-neutral, decision-focused approach

  • Minimal theory, maximum practical exchange

  • Real-world experience sharing among peers

What we'll build together:

  • Decision matrix for your GenAI stack (build vs buy vs hybrid)

  • Cost/performance/security trade-off framework tailored to your context

  • Governance checklist for regulated environments

  • Realistic budget estimates (CAPEX/OPEX)

Key topics covered:

  • Common scaling pitfalls and how to avoid them

  • Critical trade-offs: latency vs costs, flexibility vs complexity

  • Minimum viable governance vs over-engineering

  • Post-deployment ROI and success metrics

Take away: A decision framework you can immediately use to validate your GenAI infrastructure choices with your executive committee.

Target audience: Infrastructure leaders, architects, and technical decision-makers facing GenAI production deployment.

What we'll cover:

  • Swiss-specific requirements: data residency, privacy regulations, and sector compliance

  • Platform architecture patterns: centralized vs. federated approaches, cloud strategies, and hybrid deployments

  • Technology stack choices: managed services vs. open source for AI gateways, vector databases, and RAG pipelines

  • Security and governance: data isolation, key management, prompt governance, and audit trails

  • Operational excellence: MLOps/LLMOps practices, cost optimization, and performance tuning

Location
Campus Biotech Innovation Park
Av. de Sécheron 15, 1202 Genève, Switzerland
Avatar for Panoramai
Presented by
Panoramai
GEN AI SUMMITS
21 Went