All Posts

    How to Build a SharePoint Knowledge Portal that People Love to Use

    Recorded - available as on demand webcast

    96% of businesses fail to unlock the full potential of their data. Traditional approaches to enterprise search simply can't keep up with the exponential rate of growth in data volume, variety and velocity. Yet the need for accessible enterprise information to improve business agility and decision-making has never been greater.

    Enter the Knowledge Portal - A single interface to enterprise information that accesses, aggregates and personalizes data based on user profiles and business processes to better formulate knowledge and insight.

    In this webinar, we will explore the essential ingredients of SharePoint-based knowledge portals from an information design, technology and usability standpoint including:

    1. An integrated view of data including operational, historical, structured and unstructured data 
       
    2. A contextual information architecture that organizes data, defines attributes and maps relationships
       
    3. A scalable search platform for tagging, categorizing, finding and presenting information to knowledge workers 
       
    4. A personalized user experience with an intuitive process for finding answers to complex business questions
       
    5. Future-proofing the implementation and simplifying upgrades with a “no customization” approach that makes it easier to support the environment over time

    Experts in the field of Knowledge Portal design and deployment will explain how to transform a SharePoint environment into a highly customized search platform  for connecting business users with enterprise information. They will present real-world customer examples that demonstrate how Knowledge Portals can perform complex searches of diverse and dispersed information systems with a streamlined, visually refined, and user personalized process for finding answers and insights.

    view webcast

    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?