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    Breaking through the smoke & mirrors of generative AI: Practical advice & applications with Forrester

    Join this engaging conversation with a leading Forrester analyst and Grid Dynamics as they discuss the real-world challenges and opportunity of integrating Generative AI into enterprises.

    About this event: Unveil the true value of enterprise AI

    In the rapidly evolving landscape of Artificial Intelligence, it’s easy to get lost in the hype and confusion. Join us for an enlightening webinar where we’ll cut through the smoke and mirrors surrounding generative AI and provide you with actionable insights that you can implement in your enterprise right away.

    Fireside chat

    Engage in a dynamic conversation with our expert panel as they discuss the real-world challenges and opportunities of integrating generative AI into your enterprise. Bring your burning questions for a live Q&A session that promises to be informative and enlightening.

    • What is generative AI and what it is not
    • What pragmatic use cases we are seeing in key industry verticals
    • How enterprises are starting GenAI journey: value/complexity map
    • What are the challenges on the GenAI journey: Business, Technology, Security, Productization
    • Dealing with privacy challenges

    Our speakers, Eugene Steinberg, technical fellow at Grid Dynamics, and Rowan Curran, analyst at Forrester, bid farewell to the smoke and mirrors that often obscure the true potential of generative AI. Explore real-life applications, and learn how to cut through the hype to achieve tangible, practical results for your enterprise.

    As a special thank you for joining our webinar, all registered participants will receive a complimentary generative AI readiness guide, packed with actionable steps to prepare your enterprise for a successful AI journey.

    Speakers

    Rowan Curran

    Rowan Curran

    Analyst at Forrester

    Breaking through the smoke & mirrors of generative AI: Practical advice & applications with Forrester
    Eugene Steinberg

    Dr. Eugene Steinberg

    CTO

    Breaking through the smoke & mirrors of generative AI: Practical advice & applications with Forrester

    Rowan Curran

    Analyst at Forrester

    Rowan’s research focuses on AI, ML, and data science, looking at challenges and opportunities for technology executives and their teams. In his primary coverage area, he spearheads Forrester’s research on generative AI technologies, tools, and strategy. He also covers enterprise AI/ML platforms, cognitive search, and synthetic data.

    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.

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