AI Con USA 2025 - Concurrent Sessions
Concurrent sessions offer attendees the flexibility to explore a variety of topics throughout the conference on Wednesday and Thursday in order to customize their learning experience. Learn both enterprise foundations and new methodologies to grow your skills, supercharge your knowledge, and re-energize your career growth.
Wednesday, June 11
Powering Complex Solutions with Agentic Systems
This session explores the revolutionary potential of agentic systems—autonomous agents equipped with diverse tools to tackle multifaceted tasks effectively. By integrating tools, agentic workflows enable intelligent, adaptive solutions to complex challenges. Apurva will start with an introduction to agentic systems, highlighting their ability to utilize various tools dynamically to achieve goals with minimal human intervention. Through real-world case studies, she will demonstrate how tools like APIs, databases, and external services are orchestrated within these systems to simulate...
Customer Churn Prediction Using MLFlow and Streamlit
This session will guide you through every stage of the machine learning process, from data preprocessing and feature engineering to model training, pipeline construction, and deployment. The session will begin by preparing and transforming data to ensure it’s ready for model training. Next, dive into building scalable ML pipelines within MLFlow, where you’ll learn how to track experiments, monitor model performance, and manage version control. These features enable a streamlined and reproducible workflow, empowering both beginner and experienced practitioners to understand and implement...
Navigating AI Governance: Building Trust in a Regulated Future
As artificial intelligence systems increasingly influence critical decisions across industries, ensuring compliance with evolving governance and regulatory standards is both a challenge and a necessity. This presentation will explore the complexities of AI governance, focusing on balancing innovation with compliance in a rapidly changing regulatory environment. Vijay Panwar will examine real-world challenges such as bias mitigation, data privacy adherence, and ethical transparency, providing actionable strategies to design AI systems that comply with global standards like GDPR and emerging...
Decoding the Black Box: Unlocking LLM Observability
LLMs are revolutionizing AI, but their complexity and black-box nature can make it challenging to understand their behavior and ensure optimal performance. This session will demystify LLM observability, providing practical insights and best practices for gaining visibility into LLM interactions, performance, and security. Learn how to: discover the essential metrics to monitor for LLM health and performance, implement effective logging and tracing strategies to track LLM requests and identify bottlenecks, optimize LLM inference performance using profiling techniques, proactively detect and...
Mastering Prompt Engineering: Unlocking the Power of Prompt Patterns and Meta-Prompting Technique
As AI becomes increasingly central to professional workflows, the ability to craft effective prompts has emerged as a crucial skill. While many users struggle with trial-and-error approaches, this session introduces a systematic framework for prompt engineering based on proven patterns and and meta-prompting techniques. You'll learn how to apply specific prompt patterns such as persona, meta-language creation, and flipped interaction, and more, to achieve consistently better results. You will then explore meta-prompting - a powerful technique where AI assists in generating, refining, and...
Thursday, June 12
RAG at Scale: Building Production-Ready GenAI Solutions
This session serves as a deep dive into the strategies and best practices for data scientists aiming to build, fine-tune, and scale Retrieval Augmented Generation (RAG) based Generative AI (GenAI) applications. The core objectives for data scientists in the AI development cycle center around providing highly relevant results for end users and maintaining cost-effectiveness to support the sustainable growth of their products. RAG is a pivotal method that enables GenAI applications to operate effectively on proprietary data. At the heart of RAG are robust retrieval systems, which are crucial...
Brewing Better Technology: How Human Insights Enhance AI Capabilities
Striking the right balance between the efficiency of artificial intelligence (AI) and the nuanced insight of human interaction is crucial. The motivation behind integrating AI in development and testing is to enhance decision-making and productivity through automation. However, solely relying on AI can overlook critical elements that only human testers can provide, such as emotional intelligence and contextual understanding. To illustrate this dynamic, Emma Pyne will use the analogy of AI as coffee brewing machines and human testers as skilled baristas in Seattle's coffee shops. AI, much...
Navigating Compliance with the EU AI Act: Strategies for Responsible AI Development and Governance
As AI systems continue to transform industries, the EU AI Act sets a pivotal regulatory framework to ensure responsible and ethical use of artificial intelligence across Europe. This session will provide practical insights into navigating compliance with the EU AI Act, addressing key requirements for high-risk AI systems, transparency, accountability, and data governance. Joanna will explore how organizations can align their AI development processes with the Act's standards while maintaining innovation. Attendees will gain actionable strategies for integrating compliance into existing...