Uploaded April 2026 | Updated September 2026, 2 weeks ago
As agentic AI systems gain the ability to reason, act, and collaborate across tools and environments, governance can no longer be an afterthought. This panel unifies architectural control mechanisms, human-in-the-loop oversight, regulatory accountability, interoperability standards, alignment frameworks, and adversarial resilience into a cohesive governance strategy.
Experts will explore how enterprises can scale autonomy responsibly—through auditability, compliance readiness, protocol standardization, and robust safety design—before regulatory enforcement or operational failure forces reactive redesigns.
Panelists:
Muazma Zahid | Group Product Leader | Google : linkedin.com/in/muazmazahid
Philip Rathle | Chief Technology Officer | Neo4j : linkedin.com/in/prathle
Reena Agarwal | VP, Engineering | Atlassian : linkedin.com/in/reenaagarwal
Tushar Jain | EVP, Engineering | Docker : linkedin.com/in/tusharj
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Learn data science, AI, and machine learning through our hands-on training programs: youtube.com/@Datasciencedojo/courses
Check our community webinars in this playlist: youtube.com/playlist?list=PL8eNk_zTBST-EBv2LDSW9Wx_V4Gy5OPFT
Check our latest Future of Data and AI Conference: youtube.com/playlist?list=PL8eNk_zTBST94qbEbiHeg3nSjncRDsrv8
Subscribe to our newsletter for data science content & infographics: datasciencedojo.com/newsletter
Love podcasts? Check out our Future of Data and AI Podcast with industry-expert guests: youtube.com/playlist?list=PL8eNk_zTBST_jMlmiokwBVfS_BqbAt0z2
As agentic AI systems gain the ability to reason, act, and collaborate across tools and environments, governance can no longer be an afterthought. This panel unifies architectural control mechanisms, human-in-the-loop oversight, regulatory accountability, interoperability standards, alignment frameworks, and adversarial resilience into a cohesive governance strategy.
Experts will explore how enterprises can scale autonomy responsibly—through auditability, compliance readiness, protocol standardization, and robust safety design—before regulatory enforcement or operational failure forces reactive redesigns.
Panelists:
Muazma Zahid | Group Product Leader | Google : linkedin.com/in/muazmazahid
Philip Rathle | Chief Technology Officer | Neo4j : linkedin.com/in/prathle
Reena Agarwal | VP, Engineering | Atlassian : linkedin.com/in/reenaagarwal
Tushar Jain | EVP, Engineering | Docker : linkedin.com/in/tusharj
_____
Learn data science, AI, and machine learning through our hands-on training programs: youtube.com/@Datasciencedojo/courses
Check our community webinars in this playlist: youtube.com/playlist?list=PL8eNk_zTBST-EBv2LDSW9Wx_V4Gy5OPFT
Check our latest Future of Data and AI Conference: youtube.com/playlist?list=PL8eNk_zTBST94qbEbiHeg3nSjncRDsrv8
Subscribe to our newsletter for data science content & infographics: datasciencedojo.com/newsletter
Love podcasts? Check out our Future of Data and AI Podcast with industry-expert guests: youtube.com/playlist?list=PL8eNk_zTBST_jMlmiokwBVfS_BqbAt0z2
