Enterprise Search has evolved significantly over the past decade—from keyword-based search to semantic search powered by AI. While semantic search has improved information retrieval by understanding the meaning behind user queries, organizations are now facing a new challenge: enabling AI systems to truly understand enterprise knowledge and business context.
In Life Sciences organizations, critical information is distributed across CRM platforms, Veeva Vault, medical information systems, clinical repositories, regulatory content, knowledge bases, data lakes, and numerous enterprise applications. Although semantic search helps users discover relevant information, it often lacks the ability to incorporate business context into search results.
This is where Ontology-powered Enterprise Search becomes essential.
Join FocalCXM for an insightful webinar on how Ontologies, Enterprise Search, and Generative AI work together to create intelligent knowledge discovery experiences for Life Sciences organizations.
Learn how ontologies provide the business context that enables enterprise search platforms to move beyond simple document retrieval to deliver connected, context-aware knowledge across Clinical, Commercial, Medical Affairs, Regulatory, and Market Access functions.
During this session, you’ll learn:
- Why semantic search alone is no longer sufficient for enterprise AI
- What an ontology is and how it connects enterprise knowledge
- The difference between keyword search, semantic search, knowledge graphs, and ontology-driven search
- How ontologies improve search relevance through business context and relationships
- How ontology-powered enterprise search enhances Retrieval-Augmented Generation (RAG)
Who Should Attend:
- Commercial IT Leaders
- Enterprise Architects
- Enterprise Search Teams
- AI & Data Leaders
- CRM & Veeva Platform Owners
- Enterprise Application & Integration Teams
- Medical Affairs Technology Leaders
- Clinical IT Leaders
- Knowledge Management Professionals
- Digital Transformation Leaders
Speakers
Sreeni Aluri
Sreeni Aluri is a seasoned technology leader with over 20 years of experience helping Life Sciences and Manufacturing organizations modernize enterprise platforms through AI, Search, Data, and Automation. He specializes in Enterprise Search architectures, AI-powered knowledge discovery, large-scale integrations, and building intelligent enterprise solutions that improve productivity, compliance, and business outcomes.
Manogna Batchali
Manogna is a Software Engineer with 5+ years of experience in enterprise search and AI solutions. She has hands-on experience with OpenSearch, Coveo, and Sinequa, and has worked on enterprise search and Generative AI applications. Her expertise also includes Python, AWS, and Databricks, with a focus on building scalable and intelligent search solutions for enterprise platforms.