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Building Agentic AI Platforms

Conf42 via YouTube

Overview

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Explore the development and implementation of agentic AI platforms through a comprehensive conference talk that examines their application in mortgage processing and beyond. Learn about the fundamental challenges in current mortgage processing workflows and discover how agent AI systems can address these pain points through autonomous decision-making capabilities. Examine real-world examples of agent AI implementations across various industries to understand their practical applications and benefits. Dive deep into the key architectural components that make up effective agent AI systems, including decision engines, knowledge bases, and integration layers. Navigate the common challenges encountered when implementing agent AI solutions, from technical hurdles to organizational resistance and data quality issues. Gain practical insights and lessons learned from actual deployments, including best practices for successful implementation and strategies for overcoming common pitfalls. Understand the future directions of agentic AI technology and how it will continue to evolve in platform engineering contexts. Access additional resources through the provided abstract link and connect with the broader platform engineering community through the event's Discord channel.

Syllabus

00:00 Introduction to Agent AI in Mortgage Processing
01:01 Current Mortgage Processing Challenges
01:39 Understanding Agent AI Systems
02:34 Real-World Examples of Agent AI
06:46 Key Components of Agent AI Architecture
10:16 Challenges in Implementing Agent AI
21:10 Practical Lessons and Future Directions
29:58 Conclusion and Final Thoughts

Taught by

Conf42

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