Sviat is a seasoned strategy executive with 10 years of strategic management, management consulting, and startup experience across the United States and Europe. Prior to joining Bright Machines, he served as Chief Strategy Officer at Dutch retailer SPAR. Previously, Sviat had a distinct consulting career at Bain & Company and co-founded an airport mobility company. Sviat holds a Bachelor's degree in Economics and Foreign Languages from MGIMO University and an MBA from the Wharton School of the University of Pennsylvania.
With the rise of generative AI increasing the demand for compute power, there is a growing need to modernize manufacturing to build the infrastructure required to meet this demand. Addressing this challenge requires an integrated software and robotics solution for electronics manufacturers across the manufacturing life cycle – from product design to assembly to disassembly.
Bright Machines' differentiated software capabilities take a data-focused approach to manufacturing. The latest product development from Bright Machines introduces a Design for Automated Assembly (DFAA) solution that leverages Nvidia Omniverse's virtual simulation platform. Chief Strategy Officer, Sviat Dulianinov, will share Bright Machines' vision for the future of manufacturing, leveraging digital twins to lower total production costs and accelerate time to market. The session will explore the impact of software and data on the digital transformation of the manufacturing industry.”
Sviat is a seasoned strategy executive with 10 years of strategic management, management consulting, and startup experience across the United States and Europe. Prior to joining Bright Machines, he served as Chief Strategy Officer at Dutch retailer SPAR. Previously, Sviat had a distinct consulting career at Bain & Company and co-founded an airport mobility company. Sviat holds a Bachelor's degree in Economics and Foreign Languages from MGIMO University and an MBA from the Wharton School of the University of Pennsylvania.
Bright Machines is an industry-leading software and robotics company that offers a full-stack automation solution for manufacturing. Bright Machines’ flexible automated assembly and disassembly specializes in building the AI backbone – AI hardware infrastructure. By leveraging computer vision, machine learning, and software applications, Bright Machines transforms the way products can be designed and manufactured
Saket Agarwal is a seasoned product and engineering leader with nearly 20 years of experience across top-tier technology companies. Currently, as the Senior Director and Head of Engineering at Uber, he manages a team of full-stack software and machine learning engineers/scientists, overseeing the development of customer support & engagement platforms. His work at Uber involves leading a global team to deliver innovative AI-driven solutions that enhance customer interactions across diverse user groups, while partnering across teams at Uber to shape the vision in AI/ML.
Before joining Uber, Saket played a pivotal role at Amazon Web Services (AWS) as the Director of Software Engineering, where he led teams of over 200 engineers in creating Amazon Connect, a cutting-edge AI-powered contact center solution. His career also includes significant contributions to Amazon's Alexa conversational intelligence platform, Adobe's Correspondence Management solution, D. E. Shaw & Co., and IBM, where he honed his expertise in software development, digital customer engagement products, and AI applications. Saket’s leadership style is rooted in humility, technical excellence, and a relentless drive for operational efficiency, making him a key figure in the AI and customer service technology landscape.
