Planting the Future: Economy for Nature

Zukunft pflanzen: Wirtschaft für Natur

Tech Talks #8: No-/Low-Code or Bespoke – Which Approach Fits Your Business?

CID on the road: it-sa 2025 in Nürnberg | ZOOM OUT

CID on the road: RETAIL NXT mit Dr. Robert Zores, REWE digital

ZOOM OUT: Container Days 2025 | CID met Kelsey Hightower

Tech Talks #7: Software Architecture – Building Systems That Fit Your Needs

Tech Talks #6: Cloud Native – Foundation of Modern Software Development

Team Talk: Jens Klasen - The Future of Infrastructure and Software

Tech Talks #5: The EU AI Act

Tech Talks #4: Reconciliation – Turning Data Chaos into Clarity

Tech Talks #3: Implementation of a Data Mesh for Engelbert Strauss

Tech Talks #2: RAG - Generative AI with your own data

Tech Talks #1: MLOps Principles and Tools

Technischer Vorsprung für Professionelle Dienstleistungen

Technischer Vorsprung für Finanzdienstleistungen

Technischer Vorsprung für den Einzelhandel

Technischer Vorsprung für die Automobil- und Fertigungsindustrie

Engineering Advantage for Professional Services

Engineering Advantage for Retail

Engineering Advantage for Financial Services

Engineering Advantage for Automotive and Manufacturing

Session 9 I Close I Understanding Large Language Models

Session 8 I Compliance I Understanding Large Language Models

Session 7 I Operating — and paying for — LLMs I Understanding Large Language Models

Session 6 I Practical examples I Understanding Large Language Models

Session 5 I Leveraging AI support I Understanding Large Language Models

Session 4 I Making AI and LLMs work I Understanding Large Language Models

Session 3 I AI as a main driver of efficiency I Understanding Large Language Models

Session 2.2 I Use cases I Understanding Large Language Models

Session 2.1 I Use cases I Understanding Large Language Models

Session 1 I Intro into AI and LLMs I Understanding Large Language Models