All Posts

Knowledge Management’s New Renaissance - Solving Problems Today While Preparing for an AI Powered Future

Recorded - available as on demand webcast

Knowledge management (KM) and artificial intelligence (AI) have both gone through booms and busts—periods of hype followed by a sobering dose of reality.  After an “AI winter,” AI is currently enjoying an “AI spring,” because of a range of new applications driven by availability of training data, progress in algorithm performance, computing power and new funding.  There is also a growing understanding that cognitive applications of AI are trained in much the same way as humans.  The two work hand in hand.  Therefore, the same resources can be applied to preparing that information for AI that will solve problems even if AI is not your primary objective.  AI training content for cognitive systems such as knowledge retrieval bots, semantic search, intelligent virtual assistants, etc., should be designed to be reusable across multiple systems and platforms. 

A well-integrated knowledge engineering approach solves immediate knowledge access by humans, while laying the foundation for an AI-powered future. Organizations will compete on their knowledge about customers, products, solutions, and technologies embodied in AI tools and systems. Making the investment in the foundation for knowledge management will pay off in the short term, as well as prepare your organization for the future.     

Join us to explore these topics and more  

  • The role of KM in AI
  • Understanding Knowledge Engineering (KE) and how it is different from Knowledge Management (KM)
  • Ways to design training data and content for both humans and AI
  • Approaches for targeting processes that will provide the clearest ROI

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

Use Customer and Behavior Data To Create Personalized Experiences

The more quickly customers can find the product they are seeking, the more likely they are to complete a transaction and to return to the site in the future. Personalizing offers and making well- targeted recommendations can bring customers and products together faster, and are effective ways to engage customers by creating a more positive customer experience. In order to do this, companies need to capture and use as much relevant information as possible. The more that is known about the customer, the more effectively the recommendation system works. Customers generate many signals through their online behavior, and those signals can also be used to understand their interests, purchasing patterns, and needs. Reading their digital body language accurately and creating a valid customer model is essential to anticipating and fulfilling those needs.

How to Instrument KPIs Throughout the Customer Journey

You're probably using metrics to determine if your marketing programs are effective. But, have you selected the right metric at each stage of the customer journey?  Which ones connect to your strategic goals? In this session Seth Earley and Allison Brown talk about how each stage of the journey can be instrumented to use feedback from course corrections to further improve the process. You'll learn: Types of operational and user experience metrics and KPI’s How to select and collect the right metric for each stage of the customer journey How KPIs can be used for data-driven decisions How to manage conflicting goals and metrics

First Party Data - Managing and Monetizing the "Data Exhaust" From Your MarTech Stack

Understanding, anticipating and responding to the wants, needs and behaviors of your customer is the competitive battlefield of 2022. However, with new limitations and regulations regarding second and third-party data and tracking cookies, marketers, digital leaders and ecommerce executives have to consider their own methods of collecting and acting upon the data they gather about customers. In this webinar Seth Earley will talk with industry experts about how you need to model, collect, normalize, organize, manage, analyze, and act on customer information. The time to do so is now and we’ll discuss practical ways to move the needle on customer data, customer analytics and orchestration of the customer experience.