DATA SCIENCE WHITEPAPER ON AI STRATEGY.Whitepaper: How To Build an AI Governance Fit for the Digital AgeThis white paper elaborates on the core elements of AI governance in detail and discusses five considerations that should be at the heart of any AI governance. As artificial intelligence continues to permeate all workplace areas, the technology has moved from research into the …
Why the cloud is important for the success of AI initiatives
Data Science Whitepaper on Container StrategiesWhitepaper: Container Strategies for Data ScienceIn this whitepaper, we discuss the fundamentals and characteristics of containers in AI product development and define five essential layers of a container strategy for Data Science. The triumph of containers has turned the IT world upside down in recent years. The deployment of applications of all kinds is standardized …
Why the cloud is important for the success of AI initiatives
Data Science Whitepaper on Cloud Technology.Whitepaper: Why the Cloud Is Important For the Success of AI Initiatives This whitepaper shows how the cloud, especially the public cloud, helps to successfully develop, implement, and operate modern AI solutions. Artificial Intelligence (AI) is a key technology for the digital transformation and will help determine the competitiveness of German companies. Many companies have …
How Scrum Can Be Used for to Data Science Projects
Whitepaper on Data Strategy.Whitepaper: How Scrum Can Be Used for Data Science Projects.In this whitepaper, you will get an overview of the project management technique Scrum with regard to the typical process of a data science project. Based on this, we present the biggest challenges and propose solutions for the integration of Scrum in your data science projects. In recent …
Whitepaper: How Scrum Can Be Used for Data Science Projects
In the whitepaper “How Scrum Can Be Used for Data Science Projects”, you will get an overview of the project management technique Scrum with regard to the typical process of a data science project. Based on this, we present the biggest challenges and propose solutions for the integration of Scrum in your data science projects.Read the Management Summary of this whitepaper here.
Whitepaper: 35 AI and Machine Learning Use Cases for the Retail and Consumer Goods Industry
This whitepaper aims to present an overview of possible AI use cases in this specific industry. It provides a clear, comprehensive collection of 35 use cases to inspire the reader to think about potential applications in their own business. We focus on what you can do and why your company would benefit from the integration of AI and machine learning capabilities.
35 AI and Machine Learning Use Cases for the Retail and Consumer Goods Industry
DATA SCIENCE WHITEPAPER ON AI STRATEGY.Whitepaper: 35 AI and Machine Learning Use Cases for the Retail & Consumer Goods Industry.This whitepaper aims to present an overview of possible AI use cases in this specific industry. It provides a clear, comprehensive collection of 35 use cases to inspire the reader to think about potential applications in their own business. Artificial intelligence …
Whitepaper: How To Build Trust With Explainable AI
Today, a multitude of methods make it possible to explain even complex AI systems. Even though there are several challenges to be considered, the benefits of XAI in companies are immense. This whitepaper provides an overview of possible applications, advantages, methods, and challenges in employing XAI in companies and thus serves as a guide to this essential future topic.
How to Build Trust With Explainable AI
Data Science Whitepaper on Data Strategy.Whitepaper: How to Build Trust With Explainable AI.This whitepaper provides an overview of possible applications, advantages, methods, and challenges in employing Explainable AI in companies. Artificial intelligence (AI) in companies is no longer a new trend. Nevertheless, the potential for AI is far from exhausted and still offers enormous opportunities. for people and AI to …
Whitepaper: Machine Learning in the Cloud – Comparing AWS, Azure, and GCP
In order for companies to continue to be successful in a digital, software and data-driven age, the necessary technical prerequisites must be established. The use of cloud technology is seen as an important element in this process.
In this whitepaper we provide an overview of the range of services offered by the three largest providers for cloud computing, AWS, Azure and GCP.