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Alexander Loth

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Alexander Loth
Born
🏳️ NationalityGerman
🎓 Alma materFrankfurt School of Finance & Management (EMBA)
China Europe International Business School (CEIBS)
💼 Occupation
Known forAuthor of Decisively Digital and Teach Yourself VISUALLY Power BI
🌐 Websitealexloth.com

Alexander Loth is a German technology strategist, data scientist, and author focusing on artificial intelligence, big data, and digital transformation. He has contributed to leveraging AI and cloud technologies for social impact, particularly through his work with nonprofits and humanitarian organizations.

Loth has authored several books, including Decisively Digital and Teach Yourself VISUALLY Power BI, which simplify complex technologies and make them accessible to broader audiences. His latest work, KI für Content Creation, explores AI-powered tools like Copilot, ChatGPT, and DALL-E for enhancing creativity and efficiency.

Career[edit]

Loth began his career as a data scientist at CERN, contributing to machine learning and big data processing for large-scale scientific research.[1] He co-authored the paper 'LCG Persistency Framework (CORAL, COOL, POOL): Status and Outlook in 2012,' which details CERN's data access framework supporting experiments such as ATLAS, CMS, and LHCb.[2] Prior to joining Microsoft, he held roles at SAP and Tableau, where he focused on analytics and business intelligence solutions.[3]

He later joined Microsoft, where he served in the AI for Good Lab, developing AI solutions to address societal challenges such as sustainability and accessibility. Currently, he is part of Microsoft's Tech for Social Impact (TSI) team, enabling nonprofits to scale their missions using AI and cloud technologies.[4]

Education[edit]

Loth earned an Executive MBA from the Frankfurt School of Finance & Management and the China Europe International Business School (CEIBS).

Author and Speaker[edit]

Loth was featured in CERN Alumni Stories for his book Decisively Digital, which highlights digitization strategies and best practices.[5]

Loth also presented a webinar titled 'Unternehmensweite Einführung von Tableau,' focusing on best practices for implementing enterprise-wide, IT-supported analytics. The webinar covers strategies for ensuring successful adoption of analytics tools and aligning IT and business objectives.[6]

Loth's first book, Decisively Digital, provides frameworks for organizations to implement data-driven strategies effectively. Teach Yourself VISUALLY Power BI is widely used for learning business intelligence and visualization techniques.

In his latest work, KI für Content Creation, Loth examines the intersection of AI and creativity, offering practical insights into tools like Copilot, ChatGPT, and DALL-E. The book has been reviewed as a resource for creatives, photographers, and content creators exploring AI-driven workflows.[7]

He speaks at global conferences on topics including generative AI, AI ethics, and the future of technology. In November 2023, he delivered a talk titled 'Generative AI: Ethical Quandaries and the Spread of Misinformation' at IMT Atlantique, discussing the challenges posed by AI in misinformation and privacy.[8] In 2024, Loth co-authored the paper 'Blessing or Curse? A Survey on the Impact of Generative AI on Fake News,' which explores the dual role of AI in creating and detecting misinformation.[9]

Additionally, his 2017 paper, 'Die Notwendigkeit einer modernen Datenstrategie im Zuge der digitalen Transformation,' published in Information - Wissenschaft & Praxis, focuses on the role of modern data strategies in digital transformation and analytics-driven decision-making.[10]

Selected Publications[edit]

  • Decisively Digital: From Creating a Culture to Designing Strategy (2021) ISBN 978-1119737285 Search this book on .
  • Teach Yourself VISUALLY Power BI (2023) ISBN 978-1119903772 Search this book on .
  • Visual Analytics with Tableau (2019) ISBN 978-1119560203 Search this book on .
  • KI für Content Creation: Texte, Bilder, Audio erstellen mit ChatGPT & Co. (2023) ISBN 978-3747508206 Search this book on .
  • Datenvisualisierung mit Tableau (2018) ISBN 978-3958457850 Search this book on .
  • Datenvisualisierung mit Power BI (2021) ISBN 978-3747503867 Search this book on .

External links[edit]

References[edit]


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