Applying AI Events in Geneva

Train your AI to think and write like you, then turn the week’s news into a linkedIn post and a newsletter people actually want to read.

All of Claude's output sounds like AI slop, and you have to rewrite them all anyway. If you’re spending more time editing the AI draft, it's time to clone your Claude so it thinks like you and writes like you. Get better at knowing how you sound and train Claude with your actual voice and style, then create an agent for weekly contents consistently without spending hours.

You’ll leave with:

1. Claude fully trained on how to think and write like you (email, posts, contract etc)
2. A weekly content agent, who will scrape and write content for you for linkedin, Substack etc
3. Top tip on Claude token maxing
4. A skill and prompt bank for you to take home

Small peer groups - you’re building next to other professionals wrestling with the exact problem, so you build connection as well as the agent.

Who’s it for: Anyone who wants to get into creating content online and level up their communication strategy but is tired of Claude sounding like a robot instead of sounding like them.

Shared Details:
1. Format: 3 hours, hand-on session- no coding required, just a laptop and your real to-do list
2. Location; Voisin de St Gervais, Bd James- Fazy 8 1201, Geneva
3. Every Session Includes: a prompt bank, a custom skill you keep, top tips on Claude and optional additional support afterwards.
4. Certificate of Completion + Tax-deductible invoice
5. Price: 85 CHF
Please make a payment using this link: https://buy.stripe.com/fZu14mdhagdf5bIbC54gg00
​*Please note that approval is subject to payment confirmation.

Pre req:

• Answer some questions on your style.

Bonjour à tous,

🔒 Vos données. Vos modèles. Votre infrastructure. Votre IA.

Le 12 novembre 2026, l’association Generative AI vous donne rendez-vous chez Foound à Genève pour son 5e meetup, consacré à un enjeu devenu central pour les entreprises : la souveraineté des données et la maîtrise de ses propres modèles d’IA.

À l’heure où les LLM deviennent des outils stratégiques, une question se pose de plus en plus clairement :
Comment bénéficier de la puissance de l’IA générative sans perdre la maîtrise de ses données, de son infrastructure et de ses coûts ?

Lors de cette soirée, nous explorerons les différentes approches permettant de déployer et d’exploiter des modèles de langage dans des environnements maîtrisés :
🔹 LLM en local
🔹 Infrastructures on-premise
🔹 Cloud privé
🔹 Sécurité et confidentialité des données
🔹 Choix des modèles et des architectures
🔹 Arbitrages entre performance, souveraineté et coûts

Pour passer de la théorie à la réalité opérationnelle, nous aurons le plaisir d'accueillir deux acteurs qui viendront partager leur expérience et leur vision :

🎤 ELCA (https://www.elca.ch), un acteur reconnu de l'intégration IA en Suisse,
🎤 Anyway Systems (https://www.anyway.dev), une startup lausannoise issue d'un spinoff de l'EPFL.

Une soirée destinée aux dirigeants, DSI, CTO, responsables innovation, développeurs, consultants et passionnés d’IA qui souhaitent comprendre comment construire une IA générative réellement maîtrisée.

Hâte de vous y accueillir.

Philippe Chartois & Franck Bardol
Generative AI Genève

Join us for an insightful event on AI Risks in CyberSecurity happening on November 19th at 16:30 at the Novotel Genève Centre (19 Rue de Zurich, 1201 Genève).

Are We Preparing a Future for Everyone through AI?
Who really benefits from innovation?
AI is increasingly entering into society, simplifying tasks and boosting efficiency.
Excessive dependence may degrade the human abilities we’ve developed during over thousands of years: assistance is valuable, but surrendering core abilities weakens individual competence and long-term resilience.
Let’s deep-dive and argue for balanced adoption: leverage AI to augment, and not replace, human judgment, preserving skills, creativity and competitiveness for a sustainable future.

Trust in AI: Evidence or Hope?
How much do you trust the AI used in your organisation? Could you prove that trust is justified? Geopolitics, technical complexity and commercial incentives often turn AI trustworthiness into an assertion rather than an evidence-based claim. AI audits can show where confidence is justified and where it rests on hope. We will explore what can be audited, the practical challenges, and how leaders benefit. Bring your cases and join a candid discussion.

AGENDA:
16:30-17:00 Welcoming and registration
17:00-18:00 Presentations
18:00-19:30 Networking Reception

SPEAKERS:
Mauro Verderosa is a Cybersecurity and IAM Expert with +20 years of experience in the field. Specialized in Identity and Access Management since 2007, joining some of the most important projects in Europe covering the design and the implementation of complex solutions and architectures. He use to work in strongly regulated environments as financial and health care sectors. Holder of some of the most important cybersecurity certifications including CISSP, CCSP, HCISPP, CSSLP and the only ISC2 Official Trainer in Switzerland. He is also the President of the ISC2 Suisse Romande Chapter and the founder of Swiss-CyberSecurity.ch.

Pascal Duport led internal audit at the International Committee of the Red Cross (ICRC) from 2020 to 2026, and at the Geneva Judiciary from 2017 to 2020. He now works as an independent consultant in internal audit and risk management. Certified CIA, CRMA, CISA, AAIA and Cybersecurity Audit (ISACA), he has thirty years of professional experience, half of it in audit and risk. His current work sits at the intersection of audit, risk and AI.

Swiss CyberSecurity built a partnership with ISC2 and ISACA thus our participants can earn CPE credits attending the conferences.

www.swiss-cybersecurity.ch

Welcome to the most electrifying and ground-breaking AI Meetup in Geneva!

Join us once a month as we delve into the world of artificial intelligence, explore its cutting-edge practical applications, and marvel at the astonishing projects that are shaping our future.

Why should you attend?
• Get up close and personal with the AI projects that are redefining the boundaries of technology and human potential.
• Learn from the brightest minds in the field and gain valuable insights into the ever-evolving AI landscape.
• Unleash your curiosity, fuel your creativity, and expand your network as you connect with fellow AI aficionados and pioneers.

What you can expect?
Mindstone events consist of three talks covering different aspects:

• What I Learned Building With LLMs: A technical demo breaking down the process for building a product using AI with real-life learnings and insights.
• How To Be More Productive Using AI: A practical demo and step-by-step guide on how to use AI to speed up and improve tasks.
• What Does The Future Look Like With AI?: A theoretical talk on the impact of AI on work, life and society.

After the talks we'll have pizza, drinks, and networking.

Don't miss out on this extraordinary opportunity to witness the AI revolution in action. It's time to embark on a thrilling journey into the future and discover the endless possibilities that lie within the realm of artificial intelligence.

Reserve your spot today for the ultimate AI experience! 💡✨ (https://community.mindstone.com/events/mindstone-geneva-november-ai-meetup-2026)

Want a quicker check-in on the day? Set up your Mindstone profile in advance at https://identity.mindstone.com/signup and keep your login details handy when you arrive.

Welcome to the biggest Practical AI Meetup in Geneva!

Join us once a month as we explore the world of artificial intelligence, its cutting-edge practical applications, and the astonishing projects that are shaping our future.

Why should you attend?

• Get up close and personal with the AI projects that are redefining the boundaries of technology and human potential.
• Learn from the brightest minds in the field and gain valuable insights into the ever-evolving AI landscape.
• Unleash your curiosity, fuel your creativity, and expand your network as you connect with fellow AI aficionados and pioneers.

What you can expect?

Mindstone events consist of three talks covering different aspects:

• What I Learned Building With LLMs: A technical talk breaking down the process for building a product using AI with real-life learnings and insights.
• How To Be More Productive Using AI: A practical demo and step-by-step guide on how to use AI to speed up and improve tasks.
• What Does The Future Look Like With AI?: A theoretical talk on the impact of AI on work, life and society.

After the talks we'll have pizza, drinks, and time to connect with everyone around you.

Don't miss the opportunity to see what's really happening in AI - you'll be surprised at what's already possible today.

We have limited spots available, so get your ticket ahead of time to avoid disappointment!

The Geneva AI Conference 2026 gathers AI and Business Leaders from across the Lake Geneva Region, for an evening of content and networking.

The Geneva AI Conference 2026 will gather 295 Business, Innovation, Product, and Tech Leaders from across the Lake Geneva region. Our 2025 edition got a full house of 120 attendees, and our 2026 edition will nearly triple in capacity due to high demand.

AGENDA

6:00pm-6:20pm: Registration

6:20pm-6:30pm: Introduction

• Ms. Joëlle Bertossa, Member of the Executive Council of the City of Geneva

6:30pm-7:15pm: Panel Discussion, with Audience Q&A

The panel will consist of 30 minutes of pre-prepared questions, and 15 minutes of curated audience Q&A.

• Christina Frohn, Executive Partner - Strategy & Transformation at IBM
• Jan K Krasnodebski, Head of Machine Learning Science Products at Hostelworld Group
• Pinar Dolen, Vice President, Chief Analytics Officer and Head of IT, Process Management for Corporate Functions at SAP
• Milos Maricic, Chair of Executive AI, AI Strategy Advisor to Sovereign Wealth Funds, OECD & WEF Policy Contributor, OpenAI Forum Member, and Guest Lecturer at the University of Geneva.

Spanning multiple sectors, this discussion dives into two critical pillars of AI success:

1. The ROI Reality Check: Moving beyond vanity metrics to measure true impact.
2. Building for Longevity: How to develop infrastructure today that survives the pace of tomorrow’s innovation.

7:15pm-9:00pm: Networking

• Complimentary drinks will be provided within designated time

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EVENT HOST

This event is organised by Startup Network Europe, which has hosted 250+ events, including:

• The Zurich AI Summit 2025 (380 attendees)
• The Geneva AI Conference 2025 (120 attendees)
• The Zurich AI Conference 2025 (220 attendees)
• The London AI Startup Conference 2025 (half-day event in Google’s London HQ)
• The Zurich AI Conference 2024 (220 attendees)
• The European AI Conference 2024 (full-day event in Google’s EMEA HQ)
• The European Startup Conference 2022 (speakers included Apple Co-Founder Steve Wozniak)

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NETWORKING APP

Please note that a networking app link will be sent to event registrants, at least two weeks before the conference.

An evening of honest conversation about AI, work, and what stays human.

Let’s talk about it, over a drink (or two), back at the cosy Ruby Claire Hotel in downtown Geneva, with kind, curious people and good conversation.

Come relax and connect at this friendly, in-person afterwork!

It’s the perfect opportunity to share ideas, experiences and stories, meet curious minds, and of course enjoy a good time with new friends.

Whether you are passionate about AI, tech, or simply curious, this apéro is for you.

No slides. No pitch. No experts at the front of the room. Just thoughtful conversations among humans about how AI is reshaping not only our work, but our ethics, wellbeing, and ambitions.

In English. Buy your own drink. 25 places only: deliberately small, so the conversation stays real.

What to expect: 3 rounds of questions, all new for this edition. You pick the question that pulls you, and you talk. Questions go both ways. No right answers, no deep tech needed, just curiosity, critical thinking, and a good vibe.

Who is behind this afterwork?

This afterwork is co-hosted by Henri Allegra (Homo Promptus) and Hulya Kurt (InnKick) joined by a surprise guest co-host.

Homo Promptus brings the cognitive and strategic perspective on intentional, responsible, and human-centred AI adoption.

InnKick focuses on human empowerment, resilience, emotional intelligence, and confidence in times of change.

Our surprise guest will lead a round of their own, on a new theme: AI and us at work. Name to be revealed soon.

Together, they create a safe, neutral, and welcoming space to explore AI without hype, pressure, or judgement, just thoughtful conversations among humans.

Bring your good vibes and your curiosity. We'll take care of the rest.

Please note, limited places: There are 25 places available, then a waiting list. A few days before the event, all registrants will be asked to confirm. Anyone who doesn't confirm in time gives up their place to the next person on the waiting list. So if you register, please watch for the confirmation request.

Photos may be taken during the event for a post-event LinkedIn update. If you prefer not to appear in any images, please let us know.

Explore advanced AI techniques for accurate risk evaluation, predictive analysis, and smarter decision-making.

The Disaster, Crisis and Risk Management Training Courses offered by the Geneva Institute of Business Management provide professionals with advanced knowledge of modern risk management strategies. In an era of rapid technological transformation, artificial intelligence has become an essential tool for evaluating risks, predicting potential threats, and supporting informed decision-making. The Course on Advanced Program in Artificial Intelligence for Risk Evaluation and Analysis explores how AI can be integrated into contemporary risk management frameworks to assess uncertainties, estimate potential impacts, and strengthen organizational resilience. It offers a structured, forward-looking approach to applying intelligent technologies in risk identification, crisis preparedness, and strategic analysis, enabling professionals to make more accurate, adaptive, and effective decisions across different industries.

Target Group:

• Executives and managers responsible for risk evaluation and control units who are seeking to enhance their institution’s responsiveness to emerging threats using intelligent and data-driven tools.
• Strategic planners and digital transformation leaders aiming to incorporate AI-powered systems into their decision-making frameworks to anticipate and mitigate potential risks.
• IT managers and innovation officers interested in embedding AI capabilities into existing infrastructure to strengthen risk identification and improve organizational resilience.
• Data analysts, compliance specialists, and governance professionals who need a deeper understanding of how predictive analytics can support more robust risk management strategies.
• Supervisory authorities and financial regulatory personnel, especially those working in oversight, audit, and compliance functions dealing with complex, evolving risk scenarios.
• Consultants and technical specialists looking to expand their advisory portfolio with advanced, AI-based risk evaluation techniques tailored to various sectors.
• Cybersecurity experts and threat intelligence officers working in high-risk environments and needing predictive tools to foresee and counter advanced cyber threats.
• Academics, researchers, and policy analysts focused on the intersection between artificial intelligence and organizational risk, and who aim to develop forward-thinking frameworks for practical application.

Objectives:

• To enable participants to understand the advanced mechanisms by which artificial intelligence identifies patterns and risk indicators, improving institutional awareness and response strategies.
• To equip learners with the ability to utilize AI technologies in analyzing large-scale, complex data sets related to risk exposure, allowing more precise, evidence-based decision-making.
• To enhance participants’ capabilities in developing and evaluating predictive models powered by intelligent algorithms, thereby improving risk forecasting and operational planning.
• To present a structured analytical methodology that links predictive analysis with strategic decision-making, combining technical insight with real-world risk scenarios.
• To explore the legal, regulatory, and ethical implications of AI in risk assessment, and how organizations can ensure accountability and compliance when deploying automated systems.
• To provide tools and frameworks for building AI-driven risk evaluation strategies, aligning technology adoption with business objectives and sustainable development.
• To address the practical challenges organizations face when adopting artificial intelligence in risk-focused functions, and propose adaptive solutions for successful integration.
• To broaden the participants’ knowledge base in AI applications for risk evaluation, empowering them to collaborate across disciplines in applying intelligent solutions in varied operational contexts.

Course Outline:

• Foundations of Artificial Intelligence and Its Strategic Dimensions

• • Evolution of AI and its core concepts in modern enterprises
  • Classification of AI systems and their organizational functions
  • Differences between conventional AI and advanced learning systems
  • Institutional challenges in AI adoption and risk perception

• Contemporary Risk Evaluation in the Digital Landscape

• • Principles of qualitative and quantitative risk assessment
  • Lifecycle of risk management in data-rich environments
  • Critical data points and their role in detecting vulnerabilities
  • Standards and frameworks for classifying and measuring risks

• AI-Powered Detection of Hidden and Emerging Risks

• • Machine learning techniques for uncovering behavioral anomalies
  • Predictive analysis for identifying early warning signals
  • Classification and clustering algorithms in probability evaluation
  • Use of unsupervised learning in complex risk environments

• AI-Enhanced Decision-Making Frameworks for Risk Control

• • Building decision models with big data integration
  • Embedding AI tools into strategic and operational decisions
  • Minimizing bias and uncertainty in AI-based recommendations
  • Visualization and interpretation of predictive scenarios

• Designing Intelligent Risk Models with AI Algorithms

• • Stages of building AI-based risk evaluation models
  • Variable selection and impact weighting techniques
  • Model calibration and performance validation
  • Adaptive model development for evolving business risks

• Utilizing Unstructured Data for Risk Intelligence

• • Techniques for analyzing text, image, and open-source data
  • Extracting actionable insights from unconventional datasets
  • Deep learning tools for real-time interpretation and alerts
  • Integrating structured and unstructured data into risk strategies

• Data Security and Ethical Considerations in AI-Driven Risk Analysis

• • Principles of digital governance and responsible AI use
  • Ethical challenges in autonomous risk systems
  • Regulatory requirements for privacy and transparency
  • Institutional policies for algorithmic accountability

• Key Performance Indicators (KPIs) for AI Risk Systems

• • Metrics for evaluating AI model efficiency and accuracy
  • Early warning indicators and proactive control measures
  • Continuous monitoring and dynamic model enhancement
  • International benchmarks for AI reliability in risk management

• Integrating AI into Crisis and Emergency Risk Management Systems

• • Role of AI in enhancing real-time response capabilities
  • Predictive modeling for crisis scenarios and risk escalation
  • Designing AI-enabled solutions for operational continuity
  • Identifying system vulnerabilities and emergency readiness

• Strategic Roadmap for Organizational AI Adoption in Risk Evaluation

• • Frameworks for long-term AI integration across risk functions
  • Institutional maturity models for technology transformation
  • Key drivers of success in sustainable AI implementation
  • Developing cross-functional skillsets to support AI ecosystems