In the rapidly evolving landscape of artificial intelligence, the phenomenon of shadow AI—unofficial AI projects operating without formal oversight—poses unique challenges for large enterprises. This panel discussion delves into the complexities of shadow AI, examining its risks, including security vulnerabilities, data silos, and inefficiencies. Our expert panelists will share insights and strategies for identifying shadow AI initiatives within the organizational framework, understanding whether they align with corporate governance, data privacy standards, and operational goals.
Agenda:
-Brief overview of shadow AI and its prevalence in large enterprises.
-Risks and Implications of Shadow AI
o Security and Compliance: Discuss the potential for data breaches and non-compliance with regulations.
o Operational Inefficiencies: Explore how shadow AI can lead to resource duplication and integration challenges.
-Panelists share real-world examples and insights.
-Best practices for detecting and assessing shadow AI projects.
Who Should Attend: Network security professionals, AI enthusiasts, system administrators, software developers, IT managers, and anyone interested in the convergence of AI and network security technologies.
John Willis is an experienced IT management professional with over 40 years of experience. He is currently conducting research on DevOps, DevSecOps, IT risk, modern governance, and audit compliance, as well as Generative AI. In the past, he has held various positions such as Senior Director at RedHat, VP at Docker Inc., Founder of Socketplane (which was later sold to Docker) and Enstratius (which was later sold to Dell), and VP at Opscode. He also founded Gulf Breeze Software, an award-winning IBM business partner specializing in Tivoli technology deployment.
John Willis is also an accomplished author, having written six IBM Redbooks on enterprise systems management and four books for IT Revolution, including the DevOps Handbook and Deming’s Journey to Profound Knowledge. He is working on his latest book, The Operational History of Generative AI.
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