keynote & Distinguished Speakers FOR CISS2026 & SSRAAI2026

Full Name: Praveen Kumar Myakala

Affiliation: JPMorgan Chase & Co, Independent AI Researcher

Country: USA

Title: Green Agents: Energy-Efficient Multi-Agent AI for Sustainability

Abstract:

Many organizations are racing to adopt AI, yet the growing energy footprint of large models is beginning to strain both budgets and the environment. This talk explores a practical shift toward energy-efficient multi-agent systems, a direction that blends intelligent coordination with sustainable computing. The idea is simple: instead of relying on one heavy model to handle everything, a network of smaller agents can collaborate, adapt to changing contexts, and share workloads in a way that reduces unnecessary computation. If you’ve ever wondered how AI can support sustainability rather than compete with it, this approach offers a compelling path forward.

The session highlights how these agent systems can optimize power usage across domains like smart buildings, mobility networks, and public service platforms. Through examples and lightweight simulations, the talk shows how agents can route tasks more efficiently, limit redundant processing, and run effectively on edge devices where energy is scarce. Along the way, it also touches on governance, transparency, and the need for responsible AI design so that efficiency gains don’t compromise trust or accountability.

By the end, attendees will have a clearer sense of how multi-agent models can drive sustainable digital infrastructure and help cities, enterprises, and communities meet rising demands without increasing their carbon footprint. The goal is to show that energy-aware AI is not only possible but necessary for building resilient and intelligent societal systems.

Full Name: Bhanu Sekhar Guttikonda
Affiliation: Senior Software Engineering, Capital One

Areas of Expertise: Full-Stack TypeScript Engineering, Cloud & DevOps Architecture, AI-Driven Systems, API Platforms, and Large-Scale FinTech Integrations

Country: USA

Title: Integrating CI/CD Pipelines for AI with Low-Code Development: Scalable, Reproducible, and Industrial-Ready AI Systems

Abstract:-

Modern AI-driven applications require deployment frameworks that are scalable, reproducible, and efficient especially in industrial environments where reliability and real-time processing are essential. This keynote presents a unified framework that integrates CI/CD pipelines with low-code development to enable seamless AI model training, deployment, monitoring, and continuous retraining. Drawing on experiments using NEU Surface Defect, CIFAR-10, and Intel Image Classification datasets, the talk illustrates how ResNet18-based models can be operationalized using Jenkins, Docker, Kubernetes, and ArgoCD to achieve enterprise-grade automation. The framework promotes accessibility for non-technical domain experts through low-code interfaces, reduces operational overhead, and ensures consistent model performance across environments. By combining deep learning, GitOps-driven CI/CD automation, and containerized deployment, this approach bridges the gap between AI research and real-world industrial adoption. Attendees will gain a practical understanding of building AI systems that are scalable, continuously improvable, and production-ready.

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