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Dynamic Process Landscape: A Strategic Guide to Successful AI Implementation
Release Date: 06/02/2025
- How to establish process transparency. AI-driven automation is only as good as the processes it supports.
- How to integrate data management into business processes. Without proper data governance, AI agent decisions can be unreliable, non-compliant, or even detrimental.
- The drawbacks of traditional process management frameworks. These frameworks present significant limitations when integrating AI-driven automation into modern, data-intensive workflows.
- How to implement the Dynamic Process Landscape. The DPL framework allows businesses to prioritize and adapt processes dynamically based on data and operational needs, ensuring resilience in fast-changing environments.
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Acknowledgements
Anirudh Murali
Principal Engineer, Agentic AI Security
Usman Mustafa
Director of Strategic Accounts, Orange Business
Dr. Chantal Spleiss
Balancing Innovation & Regulation in Life Sciences, Technical Sciences, and Industry
Dr. Chantal Spleiss is an AI expert and Senior Consultant in Pharma/MedTech with an emphasis on cybersecurity.
Chantal's vast experience in different fields helps her connect the dots and explore terrains beyond the beaten track. She is a practical person with a determined focus on getting things done, done right, and in a timely manner. She lov...
Arpitha Kaushik
Senior Manager - Technical Risk
Arpitha is a certified expert in governance, risk, and compliance with over 15 years of experience in protecting critical systems and data for global enterprises. Her expertise includes auditing, risk management, compliance, third-party risk assessment, project management, cloud security, and AI governance & compliance. Additionally, she is an accredited CISA trainer and volunteers in research with CSA’s Cloud Control Matrix, and AI governa...
Michael Morgenstern
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