How To Build an AI-Governance Fit for the Digital Age

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 …

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 …

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 …

Machine Learning in the Cloud – Comparing AWS, Azure, and GCP

Data Science Whitepaper on Machine Learning.Whitepaper: Machine Learning in the Cloud – Comparing AWS, Azure, and GCPIn this white paper we provide you with an overview of the offerings of the three largest providers for cloud computing, AWS, Azure and GCP. We also look at how these providers lower the barriers to successful ML projects. Digital transformation is a challenge …

AI Training in Companies

Data Science Whitepaper on AI Training.Whitepaper: AI Training in CompaniesIn this white paper we explain the tasks & responsibilities of the individual roles of a Data Science and AI team. Building on this, we will show why internal training and support of external service providers are the key to building a successful AI strategy. The further education of employees in …

7 Trends for Data Science in 2021

Data Science Whitepaper on AI Strategy.Whitepaper: 7 Trends for Data Science in 2021In this white paper, our experts present 7 trends in data science, machine learning and AI that will be relevant in 2021. In addition, we give you recommendations on how to prepare for these trends. Over the last decade, interest in the field of data science has not …

Whitepaper: Change-Management for Data Science – How to achieve a Data Mindset

Lea Waniek Blog, Consulting, Data Science, Knowledge, Whitepaper

Data science and artificial intelligence are the key to future value creation and competitiveness for many organizations. Therefore, efficient change management to transform thinking in the top-down process is urgently required in the context of AI initiatives. Successful change management to establish the data mindset requires a clear leadership commitment and is characterized by six key factors, which we deal with in this whitepaper.