Large Language Models (LLMs) have transformed how organizations access information. They can summarize documents, answer complex questions, generate insights, and accelerate decision-making. However, even the most advanced LLM is only as effective as the information it can access.
In regulated Life Sciences organizations, critical knowledge is distributed across numerous enterprise applications, content repositories, document management systems, CRM platforms, medical information systems, clinical databases, and compliance-controlled content platforms. Without a robust enterprise search foundation, LLMs can only operate on limited or disconnected information, increasing the risk of incomplete answers, hallucinations, compliance concerns, and poor business decisions.
This is where OpenSearch-powered Enterprise Search becomes essential.
Join FocalCXM for an insightful webinar on how OpenSearch and Generative AI work together to create secure, scalable, and trusted knowledge discovery experiences for Life Sciences organizations.
Learn how Enterprise Search serves as the intelligence layer that connects disparate enterprise data sources, enforces security and access controls, improves content discoverability, and provides the trusted retrieval foundation required for AI-powered experiences.
Discover how modern organizations are leveraging OpenSearch to improve knowledge discovery, strengthen compliance, enhance productivity, and enable reliable AI-driven decision-making across Clinical, Commercial, Medical Affairs, and Market Access functions.
During this session, you’ll learn:
- Why LLMs cannot answer questions based on information they cannot access
- The limitations of standalone AI and why retrieval remains critical
- How OpenSearch enables unified search across multiple enterprise repositories
- Why permission-aware search is essential for regulated Life Sciences environments
- How OpenSearch powers Retrieval-Augmented Generation (RAG) architectures for trusted AI experiences
- Best practices for building scalable AI-driven enterprise search platforms
- How Enterprise Search improves productivity, collaboration, compliance, and decision-making across business functions
- Real-world Life Sciences use cases for OpenSearch-powered knowledge discovery
Key Takeaways
- Why Enterprise Search is more important than ever in the age of LLMs
- How OpenSearch provides the trusted retrieval foundation required for enterprise AI
- How OpenSearch helps organizations improve compliance, governance, and information accessibility
- Best practices for combining Enterprise Search and Generative AI to deliver secure and reliable business outcomes
- How Life Sciences organizations can accelerate AI adoption while maintaining regulatory compliance and data security
Speakers:
Sreeni Aluri:
Sreeni Aluri is a seasoned technology leader with 20+ years of experience driving digital transformation in life sciences and manufacturing. He specializes in AI-powered automation, compliance frameworks, and large-scale system integrations that simplify complex processes and deliver measurable business impact. With deep domain expertise in rebate, pricing, and contract management, Sreeni has helped organizations strengthen compliance, improve operational efficiency, and unlock real-time business visibility.
Amaresh Ayinavolu:
Amaresh is a technology professional with 7+ years of experience delivering scalable data and AI-driven solutions across life sciences and enterprise platforms. He specializes in cloud technologies, AI/ML, and modern data engineering using AWS, Python, Databricks, and OpenSearch. With expertise in infrastructure automation, system integrations, and cloud-native architectures, Amaresh focuses on building efficient, scalable, and business-driven solutions.