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SPIE Insight: AI & Data Security

·430 words·3 mins
Matthias Falland
Author
Matthias Falland
Expertise in Microsoft Fabric, Azure architectures, and Governance. Speaker at international conferences and community leader.

📅 Date: October 30, 2025
Time: 09:30 - 12:15
📍 Location: Bern
🎫 Registration: Click here

Event Description
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Corporate Software and SPIE ICS cordially invite you to our exclusive event SPIE Insight: AI & Data Security!

The SPIE Insights platform provides exclusive and valuable insights into highly relevant topics for businesses now and in the future. The focus is on secure and useful applications for enterprises.

Why attend?

  • 🚀 Demystification: Artificial Intelligence and Data Analytics are not impenetrable fields
  • 💡 Practical Solutions: AI chatbots for reliable and cost-saving assistance functions
  • 🔒 Data Protection: Without revealing sensitive business secrets to tech giants
  • 🎯 Expert Knowledge: Directly from Microsoft MVPs and specialists

Agenda
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  • 09:30 Doors Open
  • 10:00 AI & Data – Today and Tomorrow
    Matthias Falland, Corporate Software & Microsoft MVP
  • 10:30 Turning Data into Decisions: Practical AI for Today and Tomorrow
    Lorenz Cornelis, Cloud & AI Specialist at Microsoft
  • 11:05 Break
  • 11:15 AI & Data Security
    Eduardo Geraldi, CISO SPIE Switzerland
  • 11:45 AI Assistance for All Business Questions
    Patrick Sommer, Corporate Software
  • 12:15 Standing Lunch & Open Discussion

My Session: AI & Data – Today and Tomorrow
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Core Question: “Has AI already delivered what we expected?”

In my session, I examine the current challenges and opportunities of AI implementations in enterprises:

Focus Areas:

  • 🤔 Why Copilot Struggles – ChatGPT Booms: Differences between open tools and integrated enterprise solutions
  • Data is the Fuel: Why data quality & access are crucial for AI success
  • 🛡️ Compliance as a Shield: Not a brake, but an airbag in the AI world
  • 🏗️ Fabric as Enabler: Unified Data Foundation for scalable, secure AI solutions
  • 🔮 Outlook: From data strategy through governance to real value contribution

Key Insights:

  • Studies show: 95% of GenAI pilots without ROI (MIT 2024)
  • GitHub Copilot: >20 million users, up to 55.8% faster development
  • The path forward: Data Strategy → Governance → Fabric → Value Contribution

Session: Turning Data into Decisions
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Lorenz Cornelis demonstrates in his session “Turning Data into Decisions: Practical AI for Today and Tomorrow” how companies can successfully implement AI.

Session Structure:

  • 🏗️ Foundation for AI: Strong foundation through data infrastructure, protection, and security
  • 📈 AI Adoption Phases: The journey of AI introduction in enterprises
  • 🎯 Practical Use Cases: 4 pillars of AI application with concrete examples and demos
    • Efficiency improvement
    • Process optimization
    • Customer Experience
    • [Additional pillar]
  • 💡 Conclusion: AI success requires both a strong foundation and smart use cases

Organizers: Corporate Software & SPIE ICS

A unique opportunity to understand the practical aspects of AI & Data Security and engage directly with experts!