Emerging Technologies & Data

Innovation

Innovation

In the context of le dot, innovation is not an end in itself, but the systematic development of technological efficiency potentials. While "Technology" secures the foundation, "Innovation" addresses those areas where new paradigms — such as generative AI, decentralized architectures, or quantum computing — fundamentally change existing value creation. The focus is on the transition of hype topics into resilient enterprise architectures (RAG, Data Mesh, Sovereign AI).

This module provides the framework for evaluating and implementing new technologies. It defines processes for technology management (Tech Radar) and addresses the ethical and regulatory guardrails (digital ethics) in an AI-driven economy.

The Three Central Innovation Guiding Principles

Future-oriented technology decisions follow three principles:

  • Data-Driven Architecture: Data is understood as a productive asset. Modern architectures (Data Mesh, Medallion) ensure that data is available decentrally but is centrally auditable.
  • Generative AI and RAG Architecture: The use of AI requires the protection of intellectual property. Retrieval-augmented generation (RAG) on sovereign infrastructure enables the use of AI potentials without losing sensitive company data to public models.
  • Resilience through Decentralization: Emerging technologies (Web3, edge computing) are used where they reduce dependency on central platform operators and increase failure safety.

Related Topics

Open Items

Table of Contents

  • Data Architecture: Modern data architectures for scalable AI systems. How Medallion Architecture and Data Mesh ensure data quality and availability.
  • Modern Databases: Database strategies for the AI era. Why Polyglot Persistence and vector databases are indispensable for modern applications today.
  • GenAI and RAG: Extending AI systems with your own knowledge. How Retrieval-Augmented Generation (RAG) on sovereign infrastructure minimises hallucinations and ensures data privacy.
  • Data Governance: Ensuring data quality and accountability. How Data Governance and Observability create trust in data products within distributed systems.
  • Data Mesh: Decentralised data architecture for large organisations. How Data Mesh shifts data ownership and responsibility into domain teams.
  • Tech Radar: Evaluating technological trends systematically. How a Tech Radar creates orientation and structures decision-making for new tools.
  • Tech Debt: Managing technical debt strategically. How visibility and planned refactorings preserve the organisation's long-term capacity for innovation.
  • OSS Strategy: Open Source as a driver of innovation. How strategic contributions to OSS projects support technological market leadership and talent acquisition.
  • Blockchain and Web3: Decentralised trust anchors for business. How Blockchain and Web3 technologies enable secure identities, Smart Contracts and transparency.
  • Edge Computing: Processing data where it originates. How Edge Computing and IoT reduce latency, conserve bandwidth, and increase resilience.
  • MACH Architecture: Modern commerce architecture based on open standards. How MACH replaces monolithic platforms with composable, interchangeable services.
  • Privacy and Anonymity: Privacy as a technical feature. How Privacy-Enhancing Technologies (PETs) and anonymisation techniques guarantee the protection of sensitive data.
  • Digital Ethics: Ethical responsibility in digitalisation. How Algorithmic Accountability and Ethical Design secure societal acceptance of AI.
  • Quantum Futures: Preparing for the quantum age. Why Post-Quantum Cryptography (PQC) is critical for long-term data security today.