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Designing Multi-Agent Systems for Enterprise-scale AI
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Designing Multi-Agent Systems for Enterprise-scale AI

Wed, April 22 at 12:10 PM - 12:40 PM GMT+5:30ArchitectureDeepTech DataTech

Large-scale AI implementation cannot happen with a single powerful model or agent. It’s an orchestrated network of specialized agents working together. As enterprises move beyond RAG agents to the next frontier – multi-agent systems that collaborate, reason, validate, and execute tasks in a coordinated manner – they need to think about how to design, orchestrate, and govern such systems at scale to mirror real-world enterprise workflows.

In this session, Praveen Kalulal Kesrimal will demonstrate how distributed AI ecosystems unlock greater autonomy and resilience for teams. He will touch upon topics such as agent specialization, orchestration, shared memory layers and governance models.

What You Will Learn

  • How multi-agent systems enable collaboration, reasoning, and task execution at scale
  • The role of agent specialization, orchestration, and shared memory layers
  • Governance considerations for building distributed AI ecosystems

Who Should Attend

  • Developers
  • Architects
  • AI and ML Engineers
  • Technical Leads
  • Engineering Managers

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About the speaker

Praveen K

Praveen K

Sr. Director – Technology, Target in India

Praveen leads the modernization of Service Center capabilities, legal and compliance technologies for Target. In his role, drives’ the use of Agentic AI to build the service center of the future. He is a strategic, results-driven technology leader with 24+ years of experience in driving large-scale digital transformation, enterprise solution delivery, and innovation across multiple domains. He has held diverse leadership roles, leading complex transformation and modernization programs and managing global teams.

Praveen is recognized for building high-performing teams, cultivating a culture of innovation.

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