Events

Upcoming Events

SAIC#028 – No Code, No Problem, All is Possible — My AI & Lovable Journey

How Antoine Jasnault really discovered AI, what AI can really help achieve in an industrial environment with limited budget and high regulation constraints — without any coding knowledge. A very personal journey from discovering to building things with the Lovable platform.

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SAIC#029 – To Be Announced

Topic and speaker to be announced. Stay tuned!

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Registration link coming soon — follow us to stay updated.

SAIC#030 – GenAI for Civil Society Organisations

How civil society organisations can leverage GenAI to amplify their impact.

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SAIC#031 – Advanced Use Case in Private Banking

Exploring advanced GenAI applications in the private banking sector.

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Past Events

Past Events

SAIC#027 – GenAI in Banking: Accuracy, Compliance and Usability

We explored how banks deploy GenAI while navigating compliance, accuracy, and usability trade-offs — from on-premise small language models for CV screening to SQL-based guardrails against hallucination.

Past Events

SAIC#026 – The Art & Science of Building Large-Scale Agentic Systems

How a Head of AI built the cruise industry's first large-scale GenAI customer service platform — 99.5% accuracy, tens of thousands of conversations weekly.

Past Events

SAIC#025 – Why Multi-Agent? Building AI Teams That Actually Work

Explore the power of multi-agent AI systems and learn how to build collaborative AI teams that deliver real results. This event covers practical approaches to orchestrating multiple AI agents for complex workflows.

Past Events

SAIC#024 – BMAD Method: Turn AI into a Product Team

Discover the BMAD (Build, Measure, Analyze, Deploy) framework for context engineering. Learn how to structure AI systems like a product team and create more effective AI applications.

Past Events

SAIC#023 – AI-Powered Stock Analysis

Deep dive into AI-powered financial analysis and trading systems. Learn how practitioners are using AI to analyze markets, identify opportunities, and make data-driven investment decisions.