All Posts

     

    Generative AI is getting all the attention, headlines, and industry hype. Organizations are looking at how it can be used to create better employee and customer experiences by unlocking the potential stored in the vast troves of unstructured data that house knowledge assets. 

    The problem is that generalized language models are just that. They will not necessarily know your specific lexicon, terminology and vocabulary that describe your content consistently and meaningfully. The other challenge is that generative is not a retrieval mechanism. It creates new content based on patterns within the data. That means if it does not necessarily have an answer, it will “hallucinate”, that is, make up the answer.  The success of Generative AI largely depends on the effective management of the vast knowledge they possess. This webinar will explore enterprise knowledge management's critical role in unlocking generative AI's full potential.

    We will begin by providing an overview of the fundamental concepts and advances in generative AI, followed by an in-depth examination of the importance of knowledge management in developing, implementing, and improving these systems.

    We’ll discuss knowledge management approaches for the organization and retrieval of information, how retrieval fits in with content generation, and the challenges and opportunities it presents for the enterprise.

    Attendees will leave with practical takeaways for knowledge management strategies and practices. Participants will learn how to optimize the performance of generative AI models and the benefit of building domain-specific content fine-tuned for industry, organization, and even process.

    Whether you are an AI practitioner, researcher, or simply interested in the future of artificial intelligence, this webinar offers valuable insights and practical tips to help you stay ahead of the curve in this rapidly-evolving field.

     

    Speakers:

    Seth Earley, Founder & CEO, Earley Information Science

    Dan Turchin, CEO, PeopleReign

     

    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

    [Earley AI Podcast] Episode 41: Ian Hook

    Ian Hook on Advancing Operational Excellence with AI and Knowledge Management - The Earley AI Podcast with Seth Earley - Episode #041 Guest: Ian Hook

    [Earley AI Podcast] Episode 40: Marc Pickren

    Search Optimization, Competitive Advantage, and Balancing Privacy in an AI-Powered Future - Marc Pickren - The Earley AI Podcast with Seth Earley - Episode #040 Guest: Marc Pickren

    [RECORDED] Product Data Mastery - Reducing Returns to Increase Margin Through Better Product Data

    Improving product data quality will inevitably increase your sales. However, there are other benefits (beyond improved revenue) from investing in product data to sustain your margins while lowering costs. One poorly understood benefit of having complete, accurate, consistent product data is the reduction in costs of product returns. Managing logistics and resources needed to process returns, as well as the reduction in margins based on the costs of re-packaging or disposing of returned products, are getting more attention and analysis than in previous years. This is a B2C and a B2B issue, and keeping more of your already-sold product in your customer’s hands will lower costs and increase margins at a fraction of the cost of building new market share. This webinar will discuss how EIS can assist in all aspects of product data including increasing revenue and reducing the costs of returns. We will discuss how to frame the data problems and solutions tied to product returns, and ways to implement scalable and durable changes to improve margins and increase revenue.