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    Metrics for Measuring the Customer Experience and Digital Marketing Success

    Recorded - available as on demand webcast

    One area that is receiving an inordinate amount of attention and resourcing is that which drives marketing and online commerce.  Understanding and serving customers is being facilitated by thousands of new tools and technologies.  Marketing leaders in enterprises of all sorts are facing a perfect storm of unprecedented complexity, rapid shifts in customer behaviors, and enormous amounts of funding being poured into technology startups serving customer experience and commerce needs.   One veteran of the industry recently said “when there is confusion, lots of money can be made.  Once people figure things out, there’s no more opportunity”.  This cynical observation contains the subtext that when the marketplace is uneven and opaque, customers end up paying more for solutions than the fundamental value may justify.  As the industry matures, competition increases and value differentiators become clear and there is no longer an artificial premium caused by uneven industry maturity. This session will seek to clarify the issues tools and technologies to assist organizations as they make strategic decisions. 

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    Seth Earley
    Seth Earley
    Seth Earley is the Founder & CEO of Earley Information Science and the author of the award winning book The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable. An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions. He has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance.

    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?