AI in Business

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Benefits of Artificial Intelligence for Business Growth and Efficiency

In this article, we examine the benefits of artificial intelligence, particularly its influence on AI business efficiency.

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Scaling AI: Strategy and Use Cases

Learn more about the relevance of both a solid AI strategy and a data-driven use case portfolio, and why you need it to succeed.

AI Trainings and Organizations

To successfully implement data-driven decisions with AI, it's essential for employees to develop the necessary AI skills. Training in generative AI is a key focus for companies.

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Photo by Ruthson Zimmerman on Unsplash

AI Culture: Cultivating a Data Driven Culture and Workforce

Learn more about the importance of data-driven decision making and the necessity to build a data culture to increase profitability.

Anomaly Detection in Manufacturing – Prevent Failures and Boost Efficiency

Discover the benefits of AI-driven anomaly detection to increase operational efficiency.

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Creative yet Efficient: Optimize Your Industrial Design Processes with GenAI

GenAI is the AI solution to make industrial design processes more effective and efficient. Discover how.

ML Skill Profiles: An Organizational Blueprint for Scaling Enterprise ML

Organizations often struggle to scale self-developed ML models in production due to high project failure rates. Our whitepaper introduces the Machine Learning Skill Profiles framework to address this challenge.

Implementing generative AI in companies

The new Conrad white paper addresses the topic Generative AI and the value for your business

A Guide for Large Language Model Make-or-Buy Strategies: Business and Technical Insights

The use of Large Language Models (LLMs) can lead to a sustainable competitive advantage for a company. However, the decision whether to make or buy LLMs is complex.

AI Strategy: Building Trust and Overcoming Collaboration Barriers

The authors explore two key elements of an AI strategy: trust in AI and how companies should address cultural resistances.

Technical Insights Series - Evaluating Machine Learning Platforms

Read in the following article about how the evaluation process of machine learning pipelines looked like for Wacker and Infineon, what problems the companies were confronted with when using machine learning, and what approach appliedAI pursued in building and evaluating ML pipelines.

EnBW: On the way to enterprise-wide scaling of AI

How did EnBW manage to implement AI into their organization, what obstacles did they have to overcome during implementation, and what role did appliedAI play in the transformation since joining the appliedAI partner network in early 2019?

UN WFP to reach 'zero hunger' goal with help from AI

On February 27, 2020, the team from appliedAI joined The United Nations World Food Programme Innovation Accelerator for a workshop that focused on how AI can be used to achieve 'Zero Hunger' by 2030.

TFE Energy: Village Data Analytics

More than 210,000 mini-grids are needed to achieve the 7th Sustainable Development Goal (SDG): Ensure access to affordable, reliable, sustainable and modern energy for all.

Linde: AI-based plant control

In 2017, Linde joined the appliedAI initiative as a partner to accelerate the use of AI.

MTU Aero Engines: Greater value creation with the help of AI

A case study on the development of an AI strategy.

Stiftung Pfennigparade: Changing the world of work through AI

The Pfennigparade Foundation is also concerned with how its business fields will change through AI and what new opportunities this change will bring.

Infineon: AI Heroes Training Program

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

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

The present study identified uncertainties among AI users based on the risk classification of more than 100 AI systems in enterprise functions.

AI Act Impact Survey

Exploring the impact of the AI Act on Startups in Europe

Successful with Artificial Intelligence - Free Online Course "AI Competence for your SME"

appliedAI has developed a free online course in collaboration with the funding priority "Mid-sized Enterprises-Digital" of the Federal Ministry for Economic Affairs and Climate Action. The goal of this course is to introduce small and medium-sized enterprises to AI.

How to leverage AI to support the European Green Deal

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.

Culture, Change, Communication

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.

Value Assessment of AI Products and Applications

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.

German AI-Startup Landscape: 2022

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

The Enterprise Guide to Machine Learning

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.

Enterprise Guide for Make-or-Buy Decisions

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.

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

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.

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

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.

German AI-Startup Landscape: 2021

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

AI Climate Startup Landscape

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

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

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.

How to identify and prioritize AI use cases

In this white paper, we share our best-practices and approaches for identifying and prioritizing AI use cases, and provide a guide to avoid pitfalls.

How Corona is changing AI

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.

German AI-Startup Landscape: 2020

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

Building the organization for scaling AI

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.

Artificial Intelligence in mobility

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

The elements of a comprehensive AI strategy

In this whitepaper, you'll find guidance on how to assess the potential of AI for your business and develop a coherent AI strategy.

German AI-Startup Landscape: 2019

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

KPIs for AI-Strategies

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

AI-Ethics landscape 2019

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

German AI-Startups Landscape: Autonomous Driving

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

Position Paper: Germany's AI Strategy in 2018

the appliedAI Initiative’s standpoint on a German AI strategy

German AI-Startup Landscape: 2018

The 132 most promising German AI startups working across enterprise functions, enterprise intelligence, AI tech stack and industries.