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    Power of Product Data Series: One Product, One Place

    Recorded - available as on demand webcast

    In this 15 minute - no B.S. - session, our digital commerce experts will use real world examples to explain how and why you should streamline the organization of your products to improve the buyers experience. 

    Please join us for this second episode in our six-part series on the Power of Product Data. In this episode, you will learn:

    • how to identify organizational principles that help users get to the right product
    • how to properly categorize to avoid extra costs and wasted resources over time

    view webcast

    Earley Information Science Team
    Earley Information Science Team
    We're passionate about enterprise data and love discussing industry knowledge, best practices, and insights. We look forward to hearing from you! Comment below to join the conversation.

    Recent Posts

    [RECORDED] Product Data: Insights for Success - How AI is Automating Product Data Programs

    Artificial Intelligence is changing the way businesses interact with their customers. From hyper-personalized experiences to chatbots built on Large Language Models, AI is driving new investment in digital experiences. That same AI and LLM can also be used to automate your product data program. From data onboarding and validation to generating descriptions and validating images, AI can help generate content faster and at a higher quality level to improve product findability, search, and conversion rates. In our second webinar in the Product Data Mastery series, we’re speaking with Madhu Konety from IceCream Labs to show exactly how AI and product data can work together for your business.

    AI’s Value for Product Data Programs

    By Dan O'Connor, Director of Product Data, Earley Information Science

    The Critical Role of Content Architecture in Generative AI

    What is Generative AI? Generative AI has caught fire in the industry – almost every tech vendor has a ChatGPT-like offering (or claims to have one). They are claiming to use the same technology – a large language model (LLM) (actually there are many Large Language Models both open source and proprietary fine-tuned for various industries and purposes) to access and organize content knowledge of the enterprise. As with previous new technologies, LLMs are getting hyped. But what is generative AI?