All Posts

    The Business Value of Taxonomy - Your Competitors Know It

    RECORDED WEBCAST AVAILABLE

    We still hear it today – executives ask “Why do we need a taxonomy?” Then the various follow-ons : “Can’t we just get google?” “Machine Learning now does all of that automatically” “We just bought an AI tool” “ Our new vendor’s technology doesn’t require information architecture or taxonomy”. “Why do we need taxonomy and product data work for ecommerce?”

    Here’s the secret that your competitors aren’t revealing. They are investing in the foundational information architecture that every digital transformation depends on. From high performing ecommerce sites to AI powered customer service bots, they are all made or broken by the quality of the data that drives them. There is no way to skimp on this and achieve superior results. In fact, the need is greater than ever for taxonomy and IA as companies look to semantic search, AI powered chatbots, optimization of the customer journey, the ecommerce and personalization, data analytics and more for a competitive edge.

    In this session our expert panelists discuss:

    • How taxonomy is a critical component of all of your data driven applications and processes.
    • How to structure the business case and choose priorities.
    • Examples of how to measure the value of the investment.

    Join us for this practical, actionable webinar on one of the key foundational elements for digital transformation, digital experience, operational efficiency and data driven decision making.

    Register

    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?