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Agentic AI can accelerate how enterprises modernize, but introducing the capability to established environments—while keeping them running—becomes architectural Sudoku. As these systems introduce new privileges and autonomous actions, they also demand stronger governance, visibility and control.
This episode invites a solution architecture point of view about what it really takes to move from agentic experimentation to trusted, real-world impact.
Featured experts
Ninad Joshi, Senior AI Solution Architect, EMEA, Agentic AI and LLMs, Amazon Web Services
Logan Wolfe, Partner, Global Enterprise Transformation, AI and Tech Strategy, Kyndryl
Bahasa Inggeris
Amerika Syarikat
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EPISOD LAIN DALAM PODCAST INI
What happens when AI governance is no longer just about limiting risk, but about enabling trust, experimentation, and value realization at scale?
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Tune in as experts uncover how pu ...
As generative AI becomes deeply embedded across industries, enterprises are moving beyond experimentation toward experience-led transformation at scale. From reimagining customer and employee experiences with agentic AI to enabling trusted, scalable innovation through robust operational framewor ...
Episode notes
What happens when a legacy institution in a heavily regulated industry turns AI from a compliance challenge to a competitive advantage?
Our guest for this episode, NatWest Bank's Diana Kennedy, shares how the financial services leader does exactly that. The wide-ranging chat expl ...
How can AI transform the future of smart cities to create a more efficient, sustainable, and inclusive urban environment for citizens? Antibes, a city on the French Riviera, is leading the way in its AI-driven innovation to enhance public services and operational efficiency.
From automating b ...
Penafian: Podcast dan karya seni yang dibenamkan pada halaman ini adalah daripada Kyndryl, yang merupakan hak milik pemiliknya dan tidak bergabung dengan atau disokong oleh Listen Notes, Inc.
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