Smart Agents, Smarter Schedules: Agentic AI for Complex Optimization

#### 📄 About the Talk

How can we effectively allocate resources like time, labor, equipment, or energy under strict constraints, especially in complex areas such as supply chains and scheduling? And why do traditional methods like Mixed-Integer Linear Programming and heuristics often struggle in today's rapidly changing and decentralized environments?

In Sahaj Software's upcoming DevDay, Dr. Karthika Vijayan will show how Agentic AI reshapes this landscape by treating system components as autonomous agents that reason, negotiate, and adapt in real time.

You’ll explore:

• Why centralized optimization struggles in high-dimensional, dynamic systems
• How agentic models deliver flexibility and resilience
• A real-world airline-scheduling case study
• Hybrid frameworks that blend agentic models with classical solvers for scalable, disruption-proof systems

#### 📝 What You’ll Learn

• Recognize when a problem fits an agentic AI approach
• Compare rigid, centralized solutions vs. adaptive, agent-based systems
• Design efficient, robust architectures that handle real-world complexity

#### 🤔 Who Should Attend

Developers, solution architects, data scientists, operations-research pros—anyone tackling complex optimization challenges.

#### 🎤 Speaker

👩🏻‍💼 Karthika Vijayan:

Karthika is a data scientist with Sahaj AI Software. She focuses on creating customized solutions for real-world business problems by designing composite machine learning pipelines. She has been working in the field of conversational AI with voice and text data for more than a decade.

📋 Suggested Pre-read:

1. Optimization Techniques: Linear Programming to Reinforcement Learning - Part 1
2. Optimization Techniques: Linear Programming to Reinforcement Learning - Part 2