Skip to content

How Germany can benefit from Machine Learning and Artificial Intelligence: A Discussion with Chancellor Angela Merkel.


by

Machine learning and artificial intelligence are at the forefront of enabling many technological advances. It’s not only technology companies involved in these areas but also governments are discussing how machine learning and artificial intelligence can benefit their countries, including the German Federal Government.

I was honored to participate recently in a conversation with German Chancellor Angela Merkel, along with guest experts from academia and industry, to discuss the status, potential, and challenges of machine learning technology in Germany and Europe.

Germany, machine learning, discussion                                                     
 
Dr. Stephan Ewen, CTO & Co-Founder at data Artisans second row, fourth from the right


I was pleased to be part of the discussion, given that data Artisans has worked extensively in developing platforms and frameworks based on which many machine learning and artificial intelligence applications are being built. 

As more and more businesses transform from a product-centric to a service and customer-oriented approach building a strong data infrastructure is fundamental in leveraging data and responding to market changes in real time. The roundtable discussion included such topics as how machine learning and artificial intelligence can move businesses and institutions in this direction, and specifically, how this technology can make them more responsive to data and thus become more competitive and service-oriented. The group also discussed current initiatives and future measures and agreed on setting a common national strategy for promoting the adoption of artificial intelligence in Germany and Europe.

The measures and initiatives discussed are in line with this evolution of businesses and institutions from a transactional and product-centric focus to a service-oriented approach or a platform. In order for this transformation to be successful, a real-time data infrastructure is a core component which is why we built Apache Flink and dA Platform.

The conversation was a great step in establishing a common ground for machine learning, artificial intelligence and the importance of data and core technologies, and I look forward to continuing the dialogue in the future.


Photo: Federal Government / Jochen Ecke

Stephan Ewen
Article by:

Stephan Ewen

Comments

Our Latest Blogs

The Release of Flink CDC v2.3 featured image
by Hang Ruan & Qingsheng Ren November 30, 2022

The Release of Flink CDC v2.3

Flink CDC is a change data capture (CDC) technology based on database changelogs. It is a data integration framework that supports reading database snapshots and smoothly switching to reading binlogs...
Read More
Flink SQL Recipe: Window Top-N and Continuous Top-N featured image
by Ververica November 25, 2022

Flink SQL Recipe: Window Top-N and Continuous Top-N

Flink SQL has emerged as the standard for low-code streaming analytics and managed to unify batch and stream processing while simultaneously staying true to the SQL standard. In addition, it provides...
Read More
Apache Flink SQL: Past, Present, and Future featured image
by Becket Qin November 22, 2022

Apache Flink SQL: Past, Present, and Future

Recently the Apache Flink community announced the release of Flink 1.16, which continues to push the vision of stream and batch unification in Flink SQL to a new level. At this point, Flink SQL is...
Read More