AI Publications

We believe that sharing what we learn about AI is our obligation. The AI-Hub is our public repository of the knowledge artifacts that we build for our partners. Here you can find relevant articles, materials, landscapes and much more. As a partner, you have access to even more, including our workshop materials, tools, etc.



German AI-Startup Landscape: 2022

Published on April 11, 2022


Cross-validation: what does it estimate?

Published on June 11, 2021

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AI Act: Risk Classification of AI Systems from a Practical Perspective

Published on March 24, 2023

A study to identify uncertainties of AI users based on the risk classification of more than 100 AI systems in enterprise functions

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Case Studies

Infineon Case Study 'AI Heroes' Training Program

Published on December 20, 2022

A case study on the development of the AI innovation training program 'AI Heroes' at Infineon

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White Papers

AI Act Impact Survey

Published on December 12, 2022

Exploring the impact of the AI Act on Startups in Europe

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Erfolgreich mit Künstlicher Intelligenz - Kostenfreier Onlinekurs "KI-Kompetenz für Ihr KMU" (German only)

Published on July 11, 2022

( German only) appliedAI hat gemeinsam mit dem Förderschwerpunkt „Mittelstand-Digital“ des Bundesministerium für Wirtschaft und Klimaschutz einen kostenfreien Onlinekurs zur Einführung von KI speziell für kleine und mittlere Unternehmen entwickelt. Er bietet ein bisher einzigartiges, interaktives Paket aus Onlinekurs kombiniert mit einer Anwendungsfall-Bibliothek und einem Übungsheft für die direkte Verwendung im Unternehmen.

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White Papers

How to leverage AI to support the European Green Deal

Published on June 30, 2022

This whitepaper gives an overview of the many ways in which AI can help the fight against climate change and describes the requirements that are needed to use the potential of AI even better. It is an important contribution for anyone who wants to understand the key mechanisms and levers for AI to tackle climate change.

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White Papers

Culture, Change, Communication

Published on June 7, 2022

This report aims to draw attention to this often-neglected “soft” side of applying AI successfully. It highlights what is special about AI – after all, change is not a new concept – and offers concrete measures on how to address the issues of culture, communication, and change in the context of an AI transformation. In doing so, we rely on our experience from successful approaches to foster AI applications in larger enterprises.

AI in Customer Service


AI in Customer Service

Published on June 3, 2022

Today, Artificial Intelligence already plays a major role not only in improving the overall quality of customer service provision but also in the efficiency of how those services can be provided, thus also increasing the satisfaction of customer service employees. To help understand best practices today and identify technologies that will become relevant in the near future, we got together with our partners and experts from EnBW, Deutsche Telekom, Miele, Google, and IBM. Read this article to get more insights and key takeaways about AI in customer service!

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White Papers

Value Assessment of AI Products and Applications

Published on May 2, 2022

The advent of artificial intelligence presents companies with both unique opportunities and – as practitioners’ experience has shown – unique challenges. In this whitepaper and the accompanying comprehensive valuation tool, appliedAI, in cooperation with its technology and industry partners, offers a lifeline to those who are confronted with one particularly vexing challenge of AI: Namely, how to best quantify and measure the value contribution of AI initiatives during the course of a company’s journey to AI maturity.

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German AI-Startup Landscape: 2022

Published on April 11, 2022

The 304 most promising German AI startups working across enterprise functions, enterprise intelligence, technology type and industries.

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The Difference Between an AI Team and an AI Research Lab

Published on January 24, 2022

For organizations, a big part of successfully building and deploying artificial intelligence at scale is establishing an AI unit. While it is mainly the role of the AI Center of Excellence to drive the execution, professionalization and scaling of AI, some organizations also have an AI Research Lab. Even though an AI CoE and an AI Research Lab are fundamentally different, many fail to distinguish between the two. This runs the risk of making the wrong decisions when it comes to staffing and building a team that can create an AI first culture. In this article we are looking at the main differences between an AI team and an AI Research lab in order to avoid costly mistakes.

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Digital Tools

The Enterprise Guide to Machine Learning

Published on January 20, 2022

Built together with our partners, this guide is an attempt to share the experience of ML practitioners in the enterprise sector. Here the contributors discuss and elaborate on the challenges companies face in the real world. Maintained by the appliedAI Initiative, the guide reflects a commitment from the partners of appliedAI to share their experiences and best practices when moving beyond the PoC.

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Case Studies

Veränderung der Arbeitswelt durch KI – Das Beispiel Stiftung Pfennigparade

Published on January 20, 2022

KI ist eine Schlüsseltechnologie, die neue Geschäftsbereiche eröffnet und mittels Optimierung von Prozessen die Effizienz durch gezielteren und damit nachhaltigeren Einsatz von Ressourcen steigern kann. Doch sie verändert auch bestehende Geschäftsfelder und fordert Unternehmen zum Umdenken, um den Anschluss an die KI-Transformation nicht zu verpassen. Auch die Stiftung Pfennigparade beschäftigt sich mit der Frage, wie sich ihre Geschäftsfelder durch KI ändern und welche neuen Chancen diese Veränderung mit sich bringt.

Transfer Lab Certified error rates for neural networks


Certified error rates for neural networks

Published on January 13, 2022

Adversarial training has been shown to improve robustness of neural networks to certain classes of data perturbations. Despite constant progress, counterattacks appear immediately after each new method is proposed. This is because of a lack of bounds on the error that an attack can induce. In this TransferLab article we review a series of papers working towards certified error rates for networks using either special certification training objectives or arbitrary ones, including those employed for adversarial training.

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White Papers

Enterprise Guide for Make-or-Buy Decisions

Published on November 25, 2021

This report is intended to provide helpful guidance for make-or-buy decisions with AI. Download the paper to view a structure of the make-or-buy questions, a framework with decision criteria for solving the make-or-buy question and a selection of the optimal partner and potential pitfalls of different partner types.

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Case Studies

How MTU Aero Engines has set the course for creating value from AI

Published on October 26, 2021

A case study on AI strategy development

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Life-saving Data from Satellite Images

Published on October 20, 2021

Two billion people are cut off from any power grid. They live with makeshift generators or without electricity at all. This is a massive challenge, especially for health care in times of a global pandemic. Improving the situation and providing affordable and sustainable access to energy is critical. Read how Village Data Analytics together with the support of IBM are using satellite images to tackle this challenge.

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White Papers

Artificial Intelligence for Boards - Gearing up for the Future of Business

Published on October 18, 2021

Download our latest paper to learn what every board member needs to know about AI. Discover how AI affects various individual board roles, how these learnings can be readily be applied to boards and the 8 top priorities for Boards in the AI Journey.

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Data Product Management - The Missing Link To Create Value From AI

Published on August 25, 2021

A large number of initiated ML projects remain stuck at a PoC level and fail to reach the hurdle of going into production - studies report failure rates between 80% and 90%. What is the reason for this lack of impact in “traditional” enterprises and the high share of failed projects? One major reason that we observe with increasing frequency is the lack of an AI product mindset. In this article with Mindfuel we address the challenges faced in todays teams and explore the need for a dedicated discipline and role to make data-driven products successful. We call this role the data product manager.

Transfer Lab Natural Trust Region and Proximal Policy Optimization


Natural, Trust Region and Proximal Policy Optimization

Published on August 10, 2021

In this TransferLab Blog we present an overview of the theory behind three popular and related algorithms for gradient based policy optimization: natural policy gradient descent, trust region policy optimization (TRPO) and proximal policy optimization (PPO). After reviewing some useful and well-established concepts from mathematical optimization theory, the algorithms can be introduced in a very unifying manner.

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Cross-validation: what does it estimate?

Published on June 11, 2021

In this TransferLab Blog we review recent work analyzing in detail the type of error approximated by cross-validation and how standard error estimates produce optimistic confidence intervals, to then introduce a nested procedure providing tight confidence intervals around the type of error actually of interest in practice.

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New online course "Introduction to AI" on KI-Campus

Published on May 19, 2021

Within this article of the 'UnternehmerTUM Key Topic Series' you will get insights into the different modules of the course and get to know more about what you can expect when participating in the free online course 'Introduction to AI' in our trailer video!

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Digital Tools

appliedAI German Startup Pitch Lunch Series

Published on April 23, 2021

The appliedAI pitch lunches are a series of events that are giving voice to some of the most interesting companies featured on the 2021 German AI Startup Landscape. The objective of these events is to connect the most promising startups in Germany with appliedAI’s partner network to spark discussion and potential collaborations.

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Artificial Intelligence in Business and Economy - Free Online Course

Published on April 16, 2021

Within this article of the 'UnternehmerTUM Key Topic Series' you will get insights into the different modules of the course and get to know more about how you and your company can profit from participating in the free online course 'Foundations of AI'!

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Case Studies

Maturity Level Case Study - Linde

Published on March 17, 2021

In 2017, Linde, the global leader in industrial gases, joined the appliedAI initiative as a partner to accelerate the use of AI. Linde is working to implement AI solutions across all business units to increase productivity and competitiveness across the value chain and master the journey to AI maturity. Read here how.

2021 German AI Startup Landscape


German AI-Startup Landscape: 2021

Published on March 9, 2021

The 278 most promising German AI startups working across enterprise functions, enterprise intelligence, technology type and industries.

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Solving PDEs With Neural Networks

Published on January 31, 2021

In this TransferLab blog we discuss some current trends applying ML to the solution of differential equations, and the difficulties faced. We focus on a family of methods (PINNs / DGMs) and their advantages and shortcomings.

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AI Climate Startup Landscape

Published on December 3, 2020

Highlighting European champions of AI for Environment by the European Applied AI Alliance

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Case Studies

Technical Insight Series - Machine Learning Platform Evaluation

Published on November 26, 2020

Read the following article to get insights on what the Machine Learning pipeline evaluation process for Wacker and Infineon looked like, which problems the companies were facing while using Machine Learning and what approach appliedAI conducted to set up and evaluate ML pipelines.

European AI Startup Landscape


European AI Startup Landscape

Published on November 25, 2020

On November 17, 2020 the first version of the European AI Startup Landscape was launched which includes over 500 startups from France, Germany and Sweden. Check it out here.


Case Studies

The Village Data Analytics Project

Published on October 15, 2020

More than 210,000 Mini-Grids are required to achieve the number 7 Sustainable Development Goal: Ensure access to affordable, reliable, sustainable and modern energy for all.

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Case Studies

Maturity Level 2 Case Study - EnBW (Energie Baden-Württemberg)

Published on October 14, 2020

How did EnBW manage to implement AI into their organization, what hurdles did they have to overcome during implementation and what role has appliedAI played within their transformation since joining our partner network in early 2019? Find the answers to these questions and more here.

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"AI is Always Just a Tool" - Interview with Dr. Philipp Hartmann, Director of AI Strategy at appliedAI

Published on October 5, 2020

In the following interview, which is part of the UnternehmerTUM Key Topic Series, Philipp Hartmann, Director of AI Strategy at appliedAI, reveals how companies can identify realistic use cases, what mistakes companies make during implementation and how an effective implementation of AI can succeed.

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White Papers

Response to the 2020 European Commission’s White Paper on AI

Published on August 27, 2020

In February of 2020, the European Commission Published the "White Paper On Artificial Intelligence - A European approach to excellence and trust". appliedAI and our partners have come together to publish a Position Paper outlining our response to the White Paper.

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How to find and prioritize AI use cases

Published on July 1, 2020

Critical lessons to identify and prioritize AI use cases.

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How Corona Crisis is Affecting Artificial Intelligence in Europe - 5 Questions to Dr. Philipp Gerbert

Published on July 1, 2020

Dr. Philipp Gerbert, Future Shaper at UnternehmerTUM and Director at appliedAI sat down to discuss how the Corona crisis is affecting Artificial Intelligence in Europe. Watch the interview here.

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Case Studies

Maturity Level 1 Case Study - World Food Programme

Published on June 9, 2020

On 27 February 2020, the team at appliedAI joined the The United Nations World Food Programme Innovation Accelerator for a workshop to tackle the question "how AI can be used to help achieve zero hunger by 2030".

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Case Studies

Artificial Intelligence - the Key to Intelligent Business of the Future?

Published on June 8, 2020

AI has been regarded as the most disruptive future technology in the digital change for several years. But is the potential of AI as promising as the media often present it? How can companies benefit and how do they already work with AI? Read this UnternehmerTUM key topic article to learn more.

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How Corona is changing AI

Published on March 31, 2020

Corona is a black-swan event for AI and will put it to the test. We discuss some of the implications this development has for the future of the field.

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German AI-Startup Landscape: 2020

Published on March 4, 2020

The 247 most promising German AI startups working across enterprise functions, enterprise intelligence, AI tech stack and industries.

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Building the organization for scaling AI

Published on February 19, 2020

We cover best practices for how to build the organization for scaling AI. Discover the elements needed for a comprehensive AI strategy, an outline for prototypical organizational setup and key learnings from mature AI scalers.

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Digital Tools

Artificial Intelligence in mobility

Published on January 31, 2020

An overview of how artificial intelligence will shape the future of mobility.

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Monthly Newsletter

Published on October 15, 2019

appliedAI newsletter [in German only]. A collection of the most relevant links from our newsletter for you to browse if you have missed an episode.

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AI Strategy in 5 Minutes

Published on September 11, 2019

A continuous series about AI strategy in small, digestible chunks. We cover a different topic every time we update this article.

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The elements of a comprehensive AI strategy

Published on September 11, 2019

Ein High-Level-Überblick, was die Elemente einer KI-Strategie sind und wie man sie strukturiert.

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German AI-Startup Landscape: 2019

Published on April 18, 2019

The 214 most promising German AI startups working across enterprise functions, enterprise intelligence, AI tech stack and industries.

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KPIs for AI-Strategies

Published on March 9, 2019

Together with the ‘Stiftung Neue Verantwortung’, we have reviewed indicators for successful national AI strategies and how to monitor them.

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AI-Ethics landscape 2019

Published on March 1, 2019

A comprehensive overview of the current landscape of guidelines, frameworks, and principles for the ethical use of artificial intelligence technology.

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German AI-Startups Landscape: Autonomous Driving

Published on December 20, 2018

An overview of AI startups that focus on mobility. A project in cooperation with UVC Partners and the Digital Hub Mobility.

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German AI Thought Leaders

Published on October 19, 2018

How corporates and startups are setting the tone for the future and applying AI technology in an exemplary manner.

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Position Paper: Germany's AI Strategy in 2018

Published on September 20, 2018

the appliedAI Initiative’s standpoint on a German AI strategy