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    Knowledge Assessment for Generative AI Projects

    We're offering a two-week exploration of your organization's alignment, knowledge management, and technical capabilities. Identify the key factors hindering your ability to incorporate cutting-edge generative AI solutions into your Knowledge Management culture, program, and systems.
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    Webinar, June 18, 1pm ET Engineering the Retail Infrastructure for AI-Driven Commerce

    Retail’s future belongs to those who master AI-driven commerce, but success requires more than algorithms. It takes scalable, structured IT ecosystems designed to power AI.In this webinar, we’ll explore how retailers can rethink infrastructure around composability, knowledge architecture, and governance. Featuring real-world examples like PetSmart, we’ll show how smarter foundations improve findability, reduce cart abandonment, and drive innovation.This isn’t hype. It’s a roadmap for IT and digital leaders to enable AI success across omnichannel retail.
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      • Services

        Information Architecture & Taxonomy Design

        AI & Knowledge Engineering

        Product Data Management

        Customer Engagement Strategies

        Browse All Services

        Service Spotlight

        Knowledge Assessment for Generative AI Projects

        We're offering a two-week exploration of your organization's alignment, knowledge management, and technical capabilities. Identify the key factors hindering your ability to incorporate cutting-edge generative AI solutions into your Knowledge Management culture, program, and systems.
      • Industries

        Retail Services

        Pharmaceutical & Life Sciences

        Manufacturing & Distribution

        Financial Services

        Browse All Industries

        Industries

        Transforming Industries with Smarter Information Solutions

        Every industry faces unique challenges. Our tailored information architecture and data strategies help organizations across sectors achieve measurable results by aligning their data ecosystems with operational and strategic goals.
      • Resources

        Blog

        Case Studies

        Earley AI Podcast

        Webinars

        The AI-Powered Enterprise by Seth Earley

        Published Articles

        eBooks

        Presentations

        Whitepapers

        Browse All Resources

        Webinar

        Webinar, June 18, 1pm ET Engineering the Retail Infrastructure for AI-Driven Commerce

        Retail’s future belongs to those who master AI-driven commerce, but success requires more than algorithms. It takes scalable, structured IT ecosystems designed to power AI.In this webinar, we’ll explore how retailers can rethink infrastructure around composability, knowledge architecture, and governance. Featuring real-world examples like PetSmart, we’ll show how smarter foundations improve findability, reduce cart abandonment, and drive innovation.This isn’t hype. It’s a roadmap for IT and digital leaders to enable AI success across omnichannel retail.
      • About
        • About Earley
        • In the Media
        • Seth Earley
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      Webcast Recording

      Product and eCommerce Search

      Webinar Series - AI and Search: Navigating the Future of Business Transformation  Session 2
       

      Summary

      Enhancing E-commerce Experience

      Generative AI can transform the e-commerce user experience by pre-answering common queries and improving response times through conversational search, creating a more engaging and efficient shopping environment.

      Fine-Tuning and Domain-Specific Models

      Tailoring generative models through fine-tuning and deploying smaller, specialized models can enhance performance in specific tasks such as brand recognition and query segmentation, offering both speed and accuracy improvements.

      RAG in E-commerce (Retrieval-Augmented Generation)

      RAG methodologies empower e-commerce platforms by indexing products into vector spaces and retrieving relevant data, coupled with consistent embedding models to ensure accurate, context-rich search results and recommendations.

      Cost Considerations

      Implementing generative models in e-commerce comes with substantial resource and computational costs, but leveraging open-source models and understanding token cost-pricing can provide financial advantages, making the technology more accessible.

      Modality Choice

      RAG methodologies empower e-commerce platforms by indexing products into vector spaces and retrieving relevant data, coupled with consistent embedding models to ensure accurate, context-rich search results and recommendations.


      We're excited to continue the discussion. Be sure to review upcoming webinars in this series. 

      Learn More
      On this page
      • Video Recording
      • Session Highlights
      • Slides

      Video Recording

       

       

      Session Highlights

      "AI not only helps in finding what is needed but also provides expertise and contextually appropriate experiences in e-commerce, which is essential for a good user experience." - Seth Earley

      "The integration of search capabilities in e-commerce with AI can enhance search results, create landing pages, improve SEO, and personalize user experiences by understanding customer intent and behavior." — Sanjay Mehta

      "The evolving role of generative AI in e-commerce is transformative, but the industry is rapidly changing, and there's still much more to explore in this field." — Patrick Hoeffel

      "Fine-tuning and task-specific models enhance efficiency and specificity, though they may sometimes lack the breadth of general knowledge found in larger models." - Phil Ryan

       

      Slides

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