For new technologies, moving from proof-of-concept to value generation always poses a great challenge. And while future-proof business models are more essential than ever, AI and data have yet to firmly establish themselves in the German economy.
What does it take for these technologies to improve every part of an organization’s entire value chain? How can businesses ensure that innovation in data and AI successfully make it to production? And how can they overcome technical and organizational hurdles in the process?
At the AI & Data Summit 2025, Europe's leading conference on the application of artificial intelligence and data in business, we aim to explore best practices and concrete use cases that support companies in advancing beyond the experimentation stage. Together with experts from industry, politics and research, we will delve into cross-sector solutions and investigate what lies ahead for enterprises that strive to become data-driven.
Join us on the 16th and 17th September 2025 at #aidatasummit25 to discover which technologies can drive the evolution of your business model, gain insights into the social and legal frameworks and learn how to implement Europe's AI and data regulations effectively. In collaboration with our partner event, Quantum Summit 2025, we invite you to explore how to unlock the value of technology for your company!.
We look forward to welcoming you in Berlin!
Accelerating uptake
Data and AI are transforming industries, with diverse use cases showing their potential across the economy. However, adoption is still lacking in some areas, which highlights challenges in integrating intelligence into organizations. Where can businesses reap benefits from these technologies today? What obstacles do they face in becoming data-driven enterprises?
Framing for Good
As data and AI technologies scale their impact, ethical and sustainable considerations are becoming increasingly crucial. With the AI Act set to shape the regulatory landscape, companies face both new responsibilities and opportunities. Policymakers strive to ensure responsible AI usage, while businesses assess the societal and economic implications of their solutions. How can AI be developed and deployed to comply with the AI Act while mitigating potential risks? What role does data play in crafting ethical and future-proof business models?
Harnessing Technological Innovation
AI and data innovations continue to accelerate, unlocking new business opportunities. From advanced language models to AI-driven breakthroughs in health and climate solutions, these technologies are reshaping industries. With such rapid progress, enterprises must identify which developments hold value for their current and future business models. What innovations will disrupt your market? How can emerging technologies be leveraged to transform your business?
