All Posts

    How Large Enterprises are Saving Millions in Operational Costs and Improving Their Employee Experience

    In this new world, no employees should spend time struggling to get basic information and questions answered – especially about IT and HR systems and benefits. Virtual Assistant capabilities continue improving as they are trained on large numbers of support and trouble ticket data. While recognizing user intent is critical, equally important is having the information that employees and customers need to solve the problem once their problem and objective is understood.

    This means that the knowledge to power such interactions is available and in the correct format for retrieval. However, many organizations have incomplete, inconsistent or missing knowledge and therefore need to build the correct foundation to make these programs a success.

    In this session, Earley Information Science, with partner PeopleReign, will show how these programs can rapidly produce measurable results in weeks rather than months and years. While large-scale knowledge problems cannot be solved overnight, by focusing on narrow AI with clearly defined processes and curated knowledge, organizations can see ROI in as little as 30 days.

    We will discuss how to approach internal and external support use cases, measure baselines, project ROI, and quickly build a knowledge architecture that can produce short-term results while building the foundation for expanding to broader organizational knowledge problems.

    Speakers:

    Seth Earley, Founder & CEO, Earley Information Science

    Dan Turchin, CEO & Founder, PeopleReign

    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

    [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.