Studies, analyses, white papers

Publications from the Fraunhofer Big Data and AI Alliance

Discover our free studies and analyses.

 

Study, 2020

Quantum Machine Learning

The study provides insight into quantum computing and explains its potential for Machine Learning processes. In addition to techniques for implementation, the study also outlines the current competence landscape and classifies Germany’s position among the international competition. It also shows areas of application and market potential for different industries.

 

Study, 2018

Machine Learning

The study briefly introduces the most important Machine Learning concepts and methods, and provides an overview of challenges and new research questions. Furthermore, it provides an overview of actors, fields of application and socio-economic framework conditions of research with a focus on Germany as a business location.

 

Potential analysis, 2017

Artificial Intelligence

The aim of this analysis is to systematically record the current situation concerning marketability and use potential of AI technology. The portrayal is based on the analysis of relevant market studies and forecasts, the results of future workshops with representatives of selected application industries and an investigation of national and European AI project funding.

 

Brochure, 2017

Trends for AI

The Fraunhofer-Gesellschaft brochure provides an overview of the important AI trends and gets to the bottom of myths. It also contains interviews with leading scientists on current developments, AI in quantum computers and deep learning.

Publications of our member institutes on Big Data & AI

White paper, 2022

Data-driven business models

Opportunities and challenges, incl. case study

Fraunhofer IPT

White paper, 2022

Development of a data structure

description of nominal & measurement properties

Fraunhofer IPT

Study, 2021

Artificial intelligence in single-item and small-batch production

Fraunhofer IPT

E-Book, 2021

The ultra-efficient
factory:

Objectives, concepts, methods

Fraunhofer IPA

Study, 2021

PAISE®.

The process model for AI engineering

Fraunhofer IOSB

Study, 2021

At the end of the line:

How automakers can embrace flexible production

Fraunhofer IOSB

White paper, 2021

»RESYST«.

Resilient value creation in the manufacturing industry - innovative, successful, crisis-proof

Fraunhofer Group for Production

White paper, 2021

The Transformation of logistics IT

Integration of decentralized IT structures, incl. case study

Fraunhofer IML

White paper, 2021

Digital Twin for smart cities

Between expectations and challenges

Fraunhofer IESE  

White paper, 2021

Interactive work systems in intralogistics

Future Challenges in Logistics and Supply Chain Management

Fraunhofer IML

Study, 2021

SCEDAS®

Workforce Planning. Mathematically optimized

Fraunhofer IML

White paper, 2021

Concepts for communication between employees and machines

Fraunhofer IML

Thematic brochure visIT (published quarterly)

Latest insights into research

Smart City, Smart Agriculture, IoT, IT-Sicherheit, etc.

Fraunhofer IOSB

Guideline, 2021

AI Testing Guide

Guideline for designing Trustworthy Artificial Intelligence

Fraunhofer IAIS

Study, 2021

Reliable AI

Using AI in safety-critical industrial applications

Fraunhofer IPA

Study, 2021

Explainable AI in practice

Fraunhofer IPA

Study, 2021

Cloud-based AI platforms

Opportunities & limitations of ML as a Service

Fraunhofer IPA, Fraunhofer IAO

White paper, 2021

Efficient fraud detection through Machine Learning

Fraunhofer IAIS

White paper, 2021

AI for the prevention of identity fraud

Fraunhofer IAO

White paper, 2021

Working with Artificial Intelligence

Case studies from production, material work and services

Fraunhofer IAO

White paper, 2021

Changing work and organization

Development of data-driven business models

Fraunhofer IFF

White paper, 2021

Towards Auditable AI Systems

Current status and future directions

Fraunhofer IHH

White paper, 2021

AI-based root cause analysis

Understanding and optimizing production processes

Fraunhofer IAIS

White paper, 2020

Cybersecurity in networked production

Fraunhofer IPT

Study, 2020

Digital Twin in the manufacturing industry

Digital Twin Readiness Assessment

Fraunhofer IPT

White paper, 2019

Artificial Intelligence in practice

Fraunhofer FOKUS

Position paper, 2019

Ecosystems for data and Artificial Intelligence

Fraunhofer-Gesellschaft

White paper, 2019

Agricultural Data Space

Fraunhofer flagship project »Cognitive Agriculture«  

Fraunhofer IESE, IFF, IKTS, IOSB, IPA, IPM, ITWM, IVI

Study, 2018

Smart Industrial Products

Fraunhofer IPK

White paper, 2017

Big Data

Mountains of Gold or Garbage Dumps?

Fraunhofer IESE