Dr. Walter Kurz, MBA, MSC

Business Researcher and Associate Professor

"Ask questions, obtain answers, and derive useful business conclusions."

Known from Forbes Magazin (named as Business AI Expert; May 2024)
Author of the AI Readiness Index 2024 for companies
Serial Entrepreneur since 1995
JV and Early Stage Investor
Associate Professor and Supervisor at different International Business Schools
Author and Keynote Speaker
International Business Consultant and CxO Business Coach

Peer-review-level research focus

AI integration in business models and business model innovation
AI in the Corporate World (PhD in Corporate Law; in progress)
Fiat and digital assets in hybrid business models
Distributed Ledger Technology verification and timestamping in business
Tokenisation of real-world assets
Equity Crowdfunding and Crowd-Lending (P2P Lending)

Dr. Walter Kurz, MBA, MSC

Business Researcher and Associate Professor

"Ask questions, obtain answers, and derive useful business conclusions."

Serial Entrepreneur since 1995
JV and Early Stage Investor
Associate Professor and Supervisor at different international Business Schools
Author and Key Speaker
International Business Consultant and CxO Business Coach

Peer-to-peer review-level research focus

AI integration in business models and business model innovation
Legal frameworks for fully digitised public companies (PhD in Law)
Fiat and digital assets in hybrid business models
Distributed Ledger Technology verification and timestamping in business
Tokenisation of real-world assets
Equity Crowdfunding and Crowd-Lending (P2P Lending)

Known as an AI expert from Forbes Magazine (German, May 2024).

Forbes Article

Overall Research focus

At the moment, I am working on AI and its integration into business models, developing a new AI Readiness Index, and researching my PhD in Law dissertation on the integration of AI and DLT for secure and compliant processing in business environments.

PhD in Law Dissertation
in progress

The PhD in Law dissertation will be written as a interdisciplinary research paper. For preparatory research, various specific aspects of the topic will be examined and discussed in the form of preliminary research papers.

Phd in corporate LAW Dissertation

AI and DLT Integration: Legal Challenges and Business Implications for Timestamping, Verification, and Transaction Processing

Research Questions:

What legal and regulatory frameworks are necessary to govern the integration of AI and DLT for timestamping, verification, and processing of assets (both digital and physical) in business environments?
How can AI effectively interact with DLT to enhance the accuracy and security of verification processes for transactions, contracts, and asset management, and what legal challenges might emerge from this integration?
What are the potential benefits and risks of using AI in conjunction with DLT for automating processes related to assets, contracts, and data management, and how can existing legal frameworks adapt to address these issues?
How can legal authorities, including those responsible for Anti-Money Laundering (AML), Counter-Terrorism Act (CTA) compliance, and other regulatory frameworks, be effectively integrated into AI-DLT systems to ensure secure and compliant processing of transactions and asset management?

Summary

This research examines the integration of Artificial Intelligence (AI) and Distributed Ledger Technology (DLT) within business environments, focusing on their application for enhancing timestamping, verification, and the processing of both digital and physical assets.

The study investigates how AI can interact with DLT to automate and secure processes involving transactions, contracts, and asset management. It also explores the integration of legal authorities in regulatory contexts, including Anti-Money Laundering (AML), Counter-Terrorism Act (CTA), and other compliance areas.

The research addresses the legal and regulatory frameworks necessary to support this integration, identifying challenges related to data privacy, security, and compliance. Additionally, it considers how existing legal systems can adapt to ensure responsible and effective use of AI-DLT solutions across different industries.

Imprint:
Dr. Walter Kurz

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