BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:America/Chicago X-WR-TIMEZONE:America/Chicago BEGIN:VEVENT UID:201@pcienergysolutions.com DTSTART;TZID=America/Chicago:20260526T150000 DTEND;TZID=America/Chicago:20260526T160000 DTSTAMP:20260507T150529Z URL:https://www.pcienergysolutions.com/events/webinar-smarter-architecture s-for-genai-powered-by-pci-aws-2/ SUMMARY:Webinar: Smarter Architectures for GenAI: Powered by PCI & AWS DESCRIPTION:Join us for an in-depth session on agentic AI readiness\, where we’ll explore how PCI Insights and Amazon Web Services (AWS) are ready to combine commercial data with artificial intelligence to level up your e nergy and utility information analytics. We’ll discuss the components ne eded to build success and discuss attributes of successful use cases. This webinar\, scheduled for 3 p.m. CT\, Tuesday\, May 26\, will guide you thr ough the key considerations for success in architecting your agentic AI so lution and delivering business results. \nHere’s what you’ll learn : \n\n\n Learn about the evolution of the PCI Platform and its AI-readin ess \n Why data quality is essential to successful Agentic AI/ML project s \n Top-level solution architectures for successful AI implementations  \n Examples of the latest energy tools making effective use of AI  \n Observations for the future of AI in energy software \n\nWho will be nefit from this webinar: \n\n\n Energy systems architects: learning th e latest in enterprise system architectures  \n Solutions architects: id entify the architectural features needed to meet requirement with modern A I-enabled solutions \n IT managers: reset expectations for automation in enterprise platforms \n Business support managers &\; analytics resp onsible for improving visibility into operational performance \n Anyone interested in agentic AI architectures and driving business results from t echnology \n\nThis session is ideal for energy professionals focused on e nhancing their organization’s agentic capabilities. Don’t miss this opportunity to learn how PCI Insights and AWS can help you accelerate the adoption of AI inside your enterprise. \n\nAbout the presenters \n\nBr yan Kelly\, PCI’s Sr. Vice President of Enterprise Products &\; O ptimization\, guides the product strategy for PCI’s product portfolio. H e oversees the PCI Platform roadmap by directing Solution and Delivery tea ms and collaborating with customers and industry partners. Bryan has over 15 years of PCI experience designing\, developing\, and implementing softw are systems for energy utilities. Before joining PCI\, Bryan worked as a g lobal product manager responsible for marketing and product development of generation management systems in deregulated markets throughout North Ame rica and EPAC.  \n\n \;\n\n \;\n\nAntonio Lopez\, is PCI’s  sr. Vice President\, Architecture &\; Engineering. Antonio Lopez joined PCI in 2007 and started as a developer before becoming involved in the Pr ofessional Services Organization (PSO) as a technical lead and consultant. From 2011-2014\, he served as a senior manager leading PCI’s Software I nfrastructure Group\, actively working on deployment projects. He later ma naged the Data Warehouse team and\, in 2016\, became the architect and tec hnical lead for PCI’s Mexico Market team\, which he currently oversees. Antonio has over 20 years of experience designing and developing softwar e\, most of it in the energy industry. Antonio holds bachelor and maste r of science degrees in computer science from Oklahoma State University.  \n\n \;\n\nDwaraknaath Varadharajan is PCI’s Sr. Product Mana ger\, Optimization &\; AI. Dwaraknaath brings over more than five ye ars of expertise in the energy industry and software development\, havin g been an integral member of PCI since May 2019. Currently serving as the Product Manager for the BatteryTrader and Forecaster products\, Dwarakn aath leads initiatives to enhance our capabilities and drive strategic de velopment of products. Dwaraknaath’s skillset encompasses proficiency  in multiple programming languages\, generative AI\, machine learning\, b usiness intelligence\, and cloud software development. Dwaraknaath holds a master of science in electrical engineering with a specialized focus on power systems and minor focus on statistics from North Carolina State University. \n\n \;\n\nJustin McGinnity is a solutions architect at AWS working with customers across a variety of industries to modernize the ir applications and develop Agentic AI applications using the latest found ational models. Justin holds a Mechanical Engineering degree from Texas A& amp\;M University and spent 6 years as a software engineer before joining AWS 3 years ago. He has published multiple blogs on AI best practices and is a two time re:Invent speaker. \n\n \;\n\n \;\n\nZach Fugina is a Senior Account Manager in Commercial Field Sales at Amazon Web Services (AWS)\, where he works with customers to deliver cloud-based solutions th at drive business outcomes. Zach brings over six years of experience at AW S\, supporting commercial customers across a range of use cases\, and is a n AWS Certified Cloud Practitioner. Prior to joining AWS\, Zach spent four years at Oracle in field sales and business development roles. He holds a Bachelor of Science in Biochemistry and a Certificate in Business Foundat ions from The University of Texas at Austin.\n\n \; ATTACH;FMTTYPE=image/jpeg:https://www.pcienergysolutions.com/wp-content/up loads/2026/05/05-21-26-Smarter-Architectures-for-GenAI-Powered-by-PCI-AWS- 1.png CATEGORIES:Webinars END:VEVENT BEGIN:VTIMEZONE TZID:America/Chicago X-LIC-LOCATION:America/Chicago BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 TZNAME:CDT END:DAYLIGHT END:VTIMEZONE END:VCALENDAR