Se ahorraron cientos de horas de procesos manuales al predecir la audiencia de juegos al usar el motor de flujo de datos automatizado de Domo.


Less Copy More Clever | Plug, Play, and Slay: Unleashing the Power of Domo + AWS


Cody Irwin is the AI Adoption Director at Domo, where he partners with organizations to accelerate AI-driven transformation and deliver measurable business impact. He brings a unique blend of technical expertise, product leadership, and business strategy from roles at Google, Domo, GUIDEcx, PwC, and Backcountry.com. Throughout his career, Cody has helped companies modernize by applying data and insights to core business processes. Today, he leverages that experience to help leaders confidently embrace generative and agentic AI, unlocking new efficiencies, growth opportunities, and competitive advantage.


Tamara Astakhova has over 20 years of IT experience in systems architecture and development of large-scale IT systems with an emphasis in the past six years on AWS cloud strategies and implementation of analytics solutions.
She has also served as a Technical Lead for the AWS Data & Analytics competency and the AWS Redshift Service Ready program for the AWS Partner Network.


Aman Tiwari is a General Solutions Architect working with independent software vendors in the data and generative AI vertical at AWS. He helps them design innovative, resilient, and cost-effective solutions using AWS services.He holds a master’s degree in Telecommunications Networks from NortheasternUniversity. Outside of work, he enjoys playing lawn tennis and reading books.


Nick Simha is a seasoned tech leaderwith over 20 years of experience, currently serving as Head of SolutionsArchitecture at AWS, where he leads Data, Analytics, GenAI, and Emergingcategories for software companies across North America with multi-billiondollar revenue targets. Nick has pioneered multiple successful initiatives atAWS, including a comprehensive GenAI strategy and the AWS for SoftwareCompanies program, building upon his extensive background in cloud computingand IoT platforms at companies like Siemens, GE Digital, ServiceNow, andSalesforce.
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Cody Irwin is the AI Adoption Director at Domo, where he partners with organizations to accelerate AI-driven transformation and deliver measurable business impact. He brings a unique blend of technical expertise, product leadership, and business strategy from roles at Google, Domo, GUIDEcx, PwC, and Backcountry.com. Throughout his career, Cody has helped companies modernize by applying data and insights to core business processes. Today, he leverages that experience to help leaders confidently embrace generative and agentic AI, unlocking new efficiencies, growth opportunities, and competitive advantage.


Tamara Astakhova has over 20 years of IT experience in systems architecture and development of large-scale IT systems with an emphasis in the past six years on AWS cloud strategies and implementation of analytics solutions.
She has also served as a Technical Lead for the AWS Data & Analytics competency and the AWS Redshift Service Ready program for the AWS Partner Network.


Aman Tiwari is a General Solutions Architect working with independent software vendors in the data and generative AI vertical at AWS. He helps them design innovative, resilient, and cost-effective solutions using AWS services.He holds a master’s degree in Telecommunications Networks from NortheasternUniversity. Outside of work, he enjoys playing lawn tennis and reading books.


Nick Simha is a seasoned tech leaderwith over 20 years of experience, currently serving as Head of SolutionsArchitecture at AWS, where he leads Data, Analytics, GenAI, and Emergingcategories for software companies across North America with multi-billiondollar revenue targets. Nick has pioneered multiple successful initiatives atAWS, including a comprehensive GenAI strategy and the AWS for SoftwareCompanies program, building upon his extensive background in cloud computingand IoT platforms at companies like Siemens, GE Digital, ServiceNow, andSalesforce.
See how Domo and AWS make Agentic AI both practical and powerful by transforming unstructured data into structured, actionable intelligence. This session demonstrates how to automate manual data processes—like collecting and analyzing information from images and webpages—using Amazon Bedrock and Domo’s platform. Through a real-world retail example, you’ll see how organizations can move from raw, unstructured inputs to market-ready insights in minutes, not hours.
Domo transforms the way these companies manage business.