2025

Conf42.com Large Language Models (LLMs) 2025

Online.

March 20 2025 - premiere 5PM GMT

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Keynotes

### How to evaluate your Evals? In this session you'll learn what makes a good eval, how to define it, what are the best practices for building a test dataset, and most importantly how to make sure you can get all the way to production.

Hilik Paz

Arato.ai

### Beyond Hype: The Practical Evolution of Data Science with Generative AI Data science has always embraced innovation, but the emergence of generative AI presents a truly transformative shift. This talk goes beyond the hype to explore how generative AI is changing the day-to-day work of data scientists.

Syeda Narmeen

IBM

### Agentic AI: Architecting Scalable and Reliable AI Agents for the Future This keynote explores Agentic AI, focusing on scalable, reliable, and adaptable AI agents for real-world applications. Topics include architecture, modular design, API integration, testing, and mitigating risks like data drift. Attendees will gain insights into optimizing AI performance.

TRACKS:

agents apis business cloud data development devops finance healthcare models reliability security trends

Track: agents

### Beyond Sequential Agents: Orchestrating Hierarchical LLM-Based Agents for Complex Task Decomposition

Aleksandr Khramogin

LogicBoost

### LamRAG : From Data to Constructive Insights using Amazon Bedrock

Sandeep Kumar P

AntStack

### Practical tips for building AI applications using LLMs - Best practices and trade-offs

Sourabh Gawande

Kusho

### Agentic Automation - How it will change the world of business process operations?

Muddassar Sharif

Virtuans.ai

### From Prompts to Profits: Building AI Sales Writer

Ivan Liagushkin

Twain

### The ROI of AI: Making a Business Case for AI-Driven Automation

Maarten Raaijmakers

Raynmakers

### Digital & Data/AI Strategy and Transformation

Meethun Panda

Bain & Company

### Solving Complex Business Problems with Technology: Leading with Vision in the Age of AI

Track: cloud

### Challenges and takeaways of managing AI workloads on cloud environments

Graziano Casto

Mia-Platform

### Using Azure AI Foundry to manage all your Large Language Models

Peter De Tender

Microsoft

### Accelerate AWS Well-Architected reviews with Generative AI

Shoeb Bustani

AWS

### Empowering Large Language Models with Scalable Cloud Analytics: Driving Enterprise Intelligence

Prithvi Raju Rudraraju

IT America

Track: data

### Building Knowledge Graph RAG systems using Neo4j

Jayita Bhattacharyya

Deloitte

### Leveraging AI to Optimize ETL Pipelines

Gaurav Mittal

Nordstrom

### Leveraging LLMs for Data-Driven Decision Making in Product Development

Waqas Khan

Kwalee

### Leveraging AI-Driven Middleware for B2B Data Integration: Enhancing Supply Chain Intelligence with Large Language Models

Track: development

### What goes into the making of LLMs

Antara Raman Sahay

Helmerich and Payne

### Optimizing Subscription Services with Uplift Modeling

Dmitriy Zolotukhin

START

### AI vs. AI: How to Test AI Systems Using AI

Robin Gupta

Testzeus

### LLM-Driven PLM Transformation: Architecting Intelligent Product Development Workflows with Large Language Models

Track: devops

### Supercharging developer workflow with Amazon Q Developer

Abeetha Bala

AWS

### From the Top: Mastering the DevOps Machine Learning Pipeline for Unrivaled Innovation - A CEO's Perspective on Cool DevOps

Track: finance

### Optimizing Financial Operations with Large Language Models: A CFO’s Perspective

Andriy Bagryantsev

### AI-Driven Task Pricing: Reducing Costs in Micromobility Operations

Kaan Tas

Lime

### AI-Driven Financial Reconciliation: Enhancing Accuracy, Speed, and Compliance Through Human-AI Synergy

Naveen Gowda

Couchbase

### Revolutionizing Procurement with AI: Leveraging Large Language Models for Efficiency, Cost Optimization, and Risk Management

Parameswara Rao Tatini

SAP

### AI as a Strategic Asset: Building Competitive Advantage in Financial Services and Enterprises

Jitender Jain

Capital One

### Revolutionizing Banking Compliance with AI: Cloud-Based Anti-Money Laundering Implementation Using NICE Actimize

Vijay Guntumadugu

SKU Anantapuram

Track: healthcare

### Applications of Large Language Models(LLMs) & AI in Healthcare & Life Sciences

Pradeep Reddy Guttha

Vertex Pharmaceuticals

### AI-Powered Dental Claims Processing: Automating Efficiency, Compliance, and Fraud Detection

Track: models

### Unlock the power of Small language models

Chetan Hirapara

Teradata

### LLM-Enhanced Multimodal AI: Revolutionizing Audio & Video Interaction Technologies

Track: reliability

### Harnessing Large Language Models for Enhanced Customer Experience: A Product Management Perspective

Ed Fullman

Veritas Automata

### Fast and Reliable Confidence Estimation for Large Language Model Predictions

Andrei Stroganov

Samsung Research

### Observability for Large Language Models

Track: security

### AI-Powered Payment Systems: Balancing Security and Experience Through Intelligent Fraud Prevention

Arpit Mittal

PayPal

### LLMs Without Leaks: Keep Your Code, Data & IP Where They Belong

Balaji Thadagam Kandavel

Cox Automotive

### LLM hacking is underrated

Dmitriy Volkov

Palisade

### Prompt Injection Attacks: Understanding and Mitigating Risks in LLM-Powered Web Apps

Jorrik Kiijnsma

Sopra Steria

### Security and auditing tools in Large Language Models (LLM)

Jose Manuel Ortega

### Security Threats in Modern LLM Applications: Risks & Defenses

Kartheek Medhavi Penagamuri Shriram

Microsoft

### Securing LLM Applications in the Multi-Cloud Era: DevSecOps Strategies for Success

Vamsi Anumolu

iCrossing

### The Real Danger of Language Models: Scams of the Future

Rishab Mehra

Pinnacle

### Harnessing AI & LLMs for Next-Gen Digital Payment Security: Fraud Detection, Predictive Analytics, and Quantum-Resistant Innovations

Sandeep Katuri

Track: trends

### How AI Changed Content Creation for Technical Founders

Yelyzaveta Didenko

### Managing the Gap AI Brings: Keeping Developers Sharp and Engaged

Huseyn Gorbani

Rider Levett Bucknall

### Use LLMs and OCR to Extract Data from Images

Vladimir Pesterev

WhalesCorp

### AI, Hollywood, and the Metaverse: A Synergistic Future

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