Amazon

I build data platforms at Amazon Prime Video that handle marketing measurement and analytics worldwide — 400+ dataset types, dozens of source systems, billions of rows. Most of my recent work has been figuring out how to deploy AI agents into production without them making things worse. We run six specialized agents for automated data investigation and Ive spent the last year learning what happens when you give AI systems real responsibility over real business decisions.Before Amazon I spent six years at Macys leading enterprise forecasting and replenishment systems. Im an IEEE Senior Member, Ive published research on silent data corruption in AI-augmented pipelines at IEEE ICDCS and ISDFS, and I gave the keynote at IEEE NEXOTECH 2026 on data quality in the age of AI. I review papers for ICDM, VLDB, ACM RecSys, DSN, and about a dozen other venues. I also do editorial reviews for CRC Press.When Im not building things, Im usually trying to figure out why something that worked yesterday broke today — which is basically the problem my agents are supposed to solve.

IgniteTech

Eric Vaughan leads three enterprise software companies under common ownership: IgniteTech and Khoros serving global enterprises, and GFI Software serving the SMB channel. He is also the CEO behind one of the most documented AI transformations in the industry.Vaughan led IgniteTech from an AI First pivot in early 2023 to what he now calls AI DNA: a company where every role, every hire and every product decision is built around AI. After a full year of investment in training, tools and dedicated learning time, he transitioned roughly 80% of the workforce over five quarters and rebuilt the company around people who believed AI would change how the work gets done.The proof points followed. IgniteTech has shipped multiple net-new AI products from scratch, including MyPersonas®, Eloquens® AI and Adminio™ AI. Following the 2025 acquisition of Khoros, he led the launch of Aurora AI for community and Iris® AI for brand care, both rebuilt AI-native rather than bolted on. At GFI Software, he shipped GFI AppManager™ AI, RADAR™ AI and six new AI features in 2025, then convened the top global distributors in Milan to align the partner network around AI-first growth.Vaughan started his career as a software developer and bought his first software company, not the other way around. Over the past 30 years, he has founded three enterprise software companies and executed more than 40 acquisitions. He is a frequent contributor to Fortune, the Wall Street Journal, Chief Executive, CIO, SUCCESS and others, and he has served as a keynote speaker at the Financial Times Future of AI Summit, GenAI Expo, CES, Imagine AI Live and the CEO Summit Atlanta.

Samsung Semiconductor

I am a Staff AI/ML Software Engineer at Samsung Semiconductor, where I work on enterprise AI systems spanning retrieval-augmented generation, agentic AI, document intelligence, and AI-powered knowledge automation.My work focuses on taking generative AI beyond prototypes into production. I have architected and technically led enterprise RAG platforms, multi-agent workflows, permission-aware knowledge agents, deep-research systems, and integrations with enterprise platforms such as Jira and Confluence. Since joining Samsung, I have architected or technically led more than 10 AI solutions adopted across multiple business functions, with a strong focus on secure access to enterprise knowledge, grounded outputs, observability, evaluation, and human oversight.I am also a published AI researcher. My work includes Patentformer, published at the EMNLP 2024 Industry Track, and PatentVision, published at the EACL 2026 Industry Track. I am also a co-inventor on a U.S. patent application related to AI technology.I am an IEEE Senior Member and have served as a Technical Program Committee member and reviewer for multiple IEEE conferences. My areas of interest include enterprise AI agents, retrieval systems, responsible AI, agent evaluation, and production architectures for trustworthy autonomous systems.

T-Mobile USA Inc

Ravindra Annam is an AI and Cyber Security Architect with more than 20 years of experience in cybersecurity, specializing in AI security, application security, cloud security, DevSecOps, and threat modeling. His current work focuses on securing autonomous AI agents, LLM applications, multi-agent systems, APIs, and enterprise AI workflows. He contributes to AI and cybersecurity communities as an author, speaker, reviewer, judge, and industry practitioner. His research interests include runtime trust, agent identity and authorization, delegated authority, AI guardrails, tool security, and practical security architectures for enterprise agentic AI.

Walmart

Suresh Kumar Gunasekaran is a Senior Software Engineer at Walmart Global Tech with more than 16 years of experience designing and delivering large-scale enterprise technology solutions. His expertise spans artificial intelligence, agentic AI, cloud-native architecture, distributed systems, financial platforms, retail technology, and enterprise automation.Throughout his career, Suresh has worked on complex technology platforms across retail, financial services, and enterprise environments, with a focus on building scalable, resilient, and intelligent systems that solve real-world business problems. His current interests include autonomous AI agents, generative AI, enterprise knowledge systems, AI governance, intelligent decision automation, and the integration of AI into mission-critical enterprise workflows.Suresh is also actively involved in the broader technology and research community through technical publications, peer review, conference participation, and technology judging. His published research explores practical applications of Agentic AI and Vision-Language Models in retail operations, including autonomous replenishment decision-making and intelligent shelf-health monitoring.He has reviewed numerous research papers for international technology conferences and participates in technology and innovation judging programs. He is a Fellow of the Institution of Electronics and Telecommunication Engineers (IETE), a Fellow of the Soft Computing Research Society (SCRS), and is involved with professional engineering and technology organizations including IEEE and the Robotics Society.Suresh is passionate about translating emerging AI research into reliable, governed, production-ready systems. His speaking interests focus on practical lessons from building enterprise AI platforms, designing trustworthy autonomous agents, scaling AI within cloud-native environments, and preparing organizations for the transition from AI assistants to autonomous enterprise systems.