With over 20 years of experience spanning Software QA, Business Operations, Sales Analytics, Product Management, and Knowledge Management, Jyothi Krishnamurthi has built a career at the intersection of technology, data and customer experience. Currently, as the Senior Manager of Knowledge Engineering & Delivery, Jyothi Krishnamurthi leads a global team of Knowledge Engineers, Information Architect and Program managers responsible for the content technology ecosystem, including CMS, authoring tools, and integrations with internal services to enable omni-channel content delivery. The team’s work powers self-serve help experiences at scale for both LinkedIn’s billion members and B2B customers, ensuring that content is accessible, structured and optimized for AI-driven discovery and delivery. Prior to LinkedIn, Jyothi held diverse positions at NetApp, Cisco, and Oracle.

How to Really Choose the Right Content Management System for All

Co-presented with: Rebecca Rhee

Hear how this Knowledge Management team selected the right Content Management System (CMS) to meet business critical, cross-functional stakeholder, and content creation team needs to future-proof for scalability, efficiency, and a robust content creation and omni-channel delivery strategy.

In this session attendees will learn:

How the LinkedIn content and engineering teams navigated the CMS selection process with confidence by understanding key evaluation criteria, author and stakeholder needs, foundational future-proofing, and industry best practices.

Key takeaways include:

• Creating a well-rounded content tech selection team of content creators, content consumers, information architects, and decision-makers
  
• Defining business and infrastructure requirements and aligning them with tool capabilities
  
• Evaluating structured vs. unstructured content approaches and whether your team needs one or both
  
• Assessing integration needs for rich media, translation, taxonomy, and omnichannel content delivery
  
• Understanding vendor factors, including cost, support, and scalability
  
• Avoiding common pitfalls that lead to costly re-platforming efforts

This session is designed for content creators, information architects, and decision-makers looking to modernize and optimize their content workflows.

Empowering Teams for Success with Building Agentic Experiences

Co-presented with: Caryn Horowitz

Using real-life examples of multiple AI-powered experiences like virtual chat agents and agentic guides, we’ll break down the end-to-end cycle of using your content as the basis for advanced AI models, with a focus on putting the right frameworks, relationships, and KPIs in place to set your team up for success:

• Align: Understanding the business goals of various AI experiences and how they impact your content strategy
  
• Scope: Deciding what content sets to include or exclude based on business needs and risk tolerance
  
• Design: How content models and methodologies impact LLM success
  
• Build: Defining the role that content strategy and knowledge engineering teams play in partnership with cross-functional teams
  
• Validate: Exploring the benefits of content teams participating in this process
  
• Measure success: Defining KPIs related to content ingestion and user experience
  
• Iterate: Creating feedback loops with cross-functional teams to continuously monitor user experiences

In this session attendees will learn how to:

Concrete tips for setting your teams up for success in the end-to-end cycle of using your content as the basis for advanced AI models and tell the story of how your content drives business value through these channels.