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ACTIVATE brings together IT experts, data scientists, and ecommerce leaders using search and AI to deliver relevant digital experiences for customers

About this event

This year, ACTIVATE, hosted by Lucidworks, will be a virtual event on Thursday, October 27 covering search relevance, AI, machine learning, data science, next-gen user interfaces, digital commerce, digital workplace, Solr development, cloud infrastructure, and Lucidworks Fusion. Virtual ACTIVATE will include 30+ sessions and interactive features that will allow attendees to connect around key topics.

As search converged with AI and related technologies, ACTIVATE features presentations by technology and business leaders from innovative organizations using search and AI to deliver relevant digital experiences.

Join us for our session at Virtual ACTIVATE on October 27, 2022 at 12:30 pm PST!

Our session from 2021 program is availabe on-demand.

Speakers

Eugene Steinberg

Dr. Eugene Steinberg

CTO

We are speaking at Lucidworks’ ACTIVATE Conference
Stanislav Stolpovskiy

Stanislav Stolpovskiy

Search/ML Software Architect

We are speaking at Lucidworks’ ACTIVATE Conference

Dr. Eugene Steinberg

CTO

Dr. Eugene Steinberg serves as Chief Technology Officer (CTO) of Grid Dynamics. A founding engineer and most recently, Distinguished Technical Fellow, Dr. Steinberg brings over two decades of expertise in artificial intelligence, machine learning, information retrieval, and scalable distributed systems to his leadership role. At Grid Dynamics, he has been instrumental in conceiving and scaling the company’s technology practices, spearheading mission-critical transformation programs for Fortune 1000 clients while pioneering breakthrough solutions in AI, search, and cloud-native platform development. His vision and hands-on leadership have established Grid Dynamics as a recognized innovator in digital transformation services. Dr. Steinberg oversees the company’s technology strategy, practice development, and innovation initiatives. His expertise spans enterprise AI applications, cloud platforms, data engineering, and modern application development—core capabilities that drive the delivery of high-impact solutions for global enterprises. Prior to becoming CTO, he built the company’s search and digital commerce practices from the ground up and pioneered many retail AI solutions, including visual search and conversational commerce. He joined Grid Dynamics in 2006 as its first employee and founding engineer, establishing core technology foundations while delivering transformative projects for clients including PayPal, eBay, Google, Macy’s, Home Depot, and Nike. Dr. Steinberg holds a Ph.D. in Mathematics and Mechanics from Saratov State University, where he focused on numerical analysis of nonlinear dynamic systems.

Stanislav Stolpovskiy

Search/ML Software Architect

Stanislav is the Search/ML Software Architect at Grid Dynamics, with over 12 years of experience developing product discovery systems for prominent retailers. He has also accumulated more than 7 years of experience working on various machine learning and deep learning projects. Stanislav is passionate about ML, IR, and robotics, and he has been an integral part of the Grid Dynamics team since 2012.

Agenda

10:30 PM 10:50 PM

Practical applications of Neural Search in Digital Commerce

Eugene Steinberg, Head of Digital Commerce & Stanislav Stolpovskiy, Head of Search Practice

Abstract: We will describe best practices and implementation patterns for integration of modern neural search techniques into production digital commerce product discovery systems. We’ll focus on practical approaches to hybrid traditional and vector search retrieval and ranking. We will also discuss leveraging state-of-the-art text-to-image models to achieve true multi-modal search experience, especially effective for marketplace search with unreliable content quality.

Key Takeaway: Attendees will get an overview of recent trends in multimodal neural search and a comprehensive review of technical approaches and benefits for building hybrid combinations of traditional and neural search product discovery systems.

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