Alexander Loth

Microsoft · Machine Learning and Intelligence Research Group

Fake news significantly influence our society. They impact consumers, voters, and many other societal groups. While Fake News exist for a centuries, Generative AI brings fake news on a new level. It is now possible to automate the creation of masses of high-quality individually targeted Fake News. On the other end, Generative AI can also help detec...

In this Decisively Digital Conversation, Philipp Sandner, Head of the Frankfurt School Blockchain Center at the Frankfurt School of Finance & Management, explores the evolution of blockchain technology and its transformative potential. Moderated by Alexander Loth, this discussion delves into blockchain’s journey from Bitcoin’s inception to its appl...

The integration of artificial intelligence (AI) in content creation signifies a pivotal shift in the landscape of digital media production. This research explores the application of AI technologies in generating and optimizing various forms of content, including text, images, audio, and video. It delves into the functionality of generative AI tools...

This chapter examines the expansion of risk control in organizations in the context of digitalization, focusing on the integration of Machine Learning (ML) and Synthetic Control methodologies. As companies navigate new opportunities and challenges brought forth by digital transformation, the need for refined risk control mechanisms becomes paramoun...

"Teach Yourself VISUALLY Power BI" provides a comprehensive guide to mastering Microsoft Power BI, a leading data visualization tool. Aimed at users seeking to enhance their proficiency in both basic and advanced functionalities of Power BI, the book offers a visually oriented learning approach. It comprehensively covers various aspects of Power BI...

The integration of Generative AI into diverse sectors signifies a major leap in innovation and technological advancement. Drawing insights from the book "Decisively Digital," this talk explores the transformative role of Generative AI in streamlining processes in drug development and material science, facilitating a more efficient design and testin...

Risk controlling, a critical component of modern business management, traditionally relies on manual analyses and forecasts, yet the digital age presents new methodologies for enhancing this essential function. This paper delves into the integration of Machine Learning techniques into risk controlling, with a particular focus on the Synthetic Contr...

This publication serves as a comprehensive guide to data visualization and analysis using Power BI, a popular business intelligence tool. Authored by Alexander Loth and Peter Vogel, the book is designed to facilitate users in creating expressive and insightful visual analyses, enabling a deeper understanding of complex data structures and effective...

The book Decisively Digital discusses the impact of AI on society. It includes an early demonstration of the GPT-3 generative AI model. In an era where digital transformation is imperative, this comprehensive examination delves into the strategic integration of cutting-edge digital technologies in business processes. Authored by digital strategy a...

The book serves as a guide to visual data analysis, aiming to simplify and demystify the process of creating and interpreting various forms of data visualizations, including techniques from Natural Language Processing (NLP). Authored by Alexander Loth, it provides an accessible pathway to understand and utilize Tableau, a prominent data visualizati...

"Visual Analytics with Tableau" is a thorough guide tailored for both beginners and seasoned professionals in the realm of data visualization, including techniques from Natural Language Processing (NLP). The book delves into the use of Tableau, a leading tool in data visualization and analytics, offering an accessible, step-by-step introduction to...

This chapter serves as an introduction to the Tableau application suite, detailing its user interface and the processing of data by non-technical business users. It offers an initial insight into the capabilities of Tableau for creating data visualizations, a crucial aspect in the field of data analysis. The chapter outlines the steps for installin...

This chapter delves into the concept of Level of Detail (LOD) calculations in Tableau, a critical tool for non-technical business users to perform sophisticated data analysis. Unlike standard formulas in calculated fields, LOD calculations provide the flexibility to define specific dimensions for segmenting data, thereby enabling more granular cont...

This chapter addresses the publication and distribution of dashboards and visualizations created in Tableau, targeting non-technical users. It elaborates on how users can leverage Tableau Online, Tableau Server, and Tableau Public for sharing their visual analytic work, as well as utilizing Tableau Mobile for on-the-go access. The interactivity of...

This chapter provides a comprehensive guide to building and interacting with dashboards in Tableau, a critical aspect of data visualization and analysis. It begins by outlining the structure of a typical Tableau dashboard, which often comprises various charts from different worksheets, along with other elements. The Dashboard pane is described, det...

This chapter explores Tableau's capability to access data from a range of cloud services, including Google Sheets, Google Analytics, Amazon Redshift, and Salesforce, which are pivotal for non-technical business users in the contemporary data-driven business environment. When users initiate Tableau Desktop, they are presented with the Connect pane,...

This chapter delves into the functionalities of Tableau Prep, a stand-alone tool designed to facilitate non-technical business users in data preparation tasks. Introduced to the market in April 2018, Tableau Prep extends the visual approach of Tableau Desktop to data preparation, aiming to make this process more accessible to users without a progra...

This chapter delves into the use of Tableau's advanced analytics capabilities to address complex statistical questions, a crucial aspect for non-technical business users engaging in data analysis. It guides users through the Tableau Analytics pane, which offers a range of tools including distribution bands, trend lines, forecasts, and clustering, e...

This chapter addresses the diverse array of visual presentation methods available in Tableau, guiding non-technical business users in choosing the appropriate chart types for their data visualization needs. It provides an understanding of how to select from basic chart types such as bar charts, scatter plots, and line charts, and extends to more co...

This chapter explores the utility of parameters in Tableau as a means for non-technical business users to incorporate external values into their data visualizations. Parameters are instrumental in adding a layer of interactivity and customization to visualizations, allowing users to see how changes in external factors might influence their data. Th...

This chapter explores the application of maps in data visualization, particularly in the context of geographic information representation using Tableau. It highlights the innate familiarity of end users with maps, such as those used in subway networks, weather forecasts, and tourist guides, and leverages this familiarity to enhance the effectivenes...

This paper delves into the traditional and emerging paradigms of decision-making within corporations, emphasizing the shift from reliance on human instinct to data-driven strategies. It highlights how, traditionally, employee instincts and decisions were pivotal for career advancement and respected within corporate culture. However, the digital age...

The traditional approach in business, where decisions are made based on employee instincts or guided by external validations and expert opinions, is undergoing a transformative shift. In the digital era, the reliance on collective intelligence and the power of vast data sets is increasingly evident. The exponential growth in data generation is not...

The Persistency Framework consists of three software packages (CORAL, COOL and POOL) addressing the data access requirements of the LHC experiments in different areas. It is the result of the collaboration between the CERN IT Department and the three experiments (ATLAS, CMS and LHCb) that use this software to access their data. POOL is a hybrid tec...