Introduction to Retrieval Augmented Generation โ Digital Download
๐จ "Boost AI Accuracy with RAG โ Real-Time Knowledge for Better Results"
๐ Overview
Join this 90-minute interactive webinar led by Ms. Neena Sathi, an AI expert with over 35 years of industry experience at IBM and KPMG. Neena is a pioneer in AI-driven business transformation and customer engagement. This video explores how Retrieval-Augmented Generation (RAG) improves large language model (LLM) accuracy by integrating real-time information from external sources. It covers RAG techniques, use cases, and alternative approaches to augment generative AI models with up-to-date and domain-specific knowledge.
๐ฏ Key Learning Objectives
- Understand LLM limitations and why RAG is necessary
- Learn how to enhance generative models with external data
- Explore different retrieval methods (search, embeddings, vector databases)
- Evaluate and compare various RAG strategies
๐ฅ Who Should Attend
- AI developers and data scientists
- Business leaders implementing AI solutions
- AI/ML researchers
- Technology consultants
๐ฏ Expected Outcomes
- Enhanced understanding of LLM limitations and solutions
- Ability to implement RAG to improve AI accuracy and relevance
- Practical experience in designing RAG-based AI models
- Insight into different retrieval and augmentation strategies
Introduction to Retrieval Augmented Generation
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Neena Sathi โ AI Strategist | Educator | Business Consultant
Neena Sathi is the Principal and Founder of Applied AI Institute, an industry leader in AI-driven training, consulting, and solution development. With over 35 years of experience, she has played a pivotal role in architecting, designing, and deploying AI and analytics solutions that drive business transformation. She specializes in enhancing customer experience, automating back-office operations, risk and compliance for many Fortune 100 organizations across industries including telecommunications, media, healthcare, public services, and financial sectors. She has also worked as Director of AI Technologies at Carnegie Group, Inc, an AI startup, Accenture, KPMG, and IBM.
Neena is also an Industry Fellow at the University of California, Irvine, where she teaches courses in AI, Generative AI, Conversational AI, and Business Analytics. Throughout her career, she has held leadership roles at IBM, KPMG, Accenture, and CenturyLink, leading the adoption of AI solutions from proof-of-concept to full-scale enterprise deployment. A Master Certified Integration Architect (IBM, Open Group) and PMP-certified project manager, Neena has contributed extensively to the AI field, including publishing six books on Artificial Intelligence with SpringerLinks, developing 20+ online courses, and training over 4,000 professionals globally through webinars, hackathons, and corporate training programs. She has also presented at premier AI conferences such as AAAI, IEEE, IBM Insight, DATAVERSITY and World of Watson.
How Neena Can Help Your Organization:
โ AI Strategy & Implementation โ Advising organizations on integrating AI-driven solutions that enhance operational efficiency, customer engagement, and regulatory compliance.
โ Workforce Upskilling & AI Adoption โ Designing interactive learning programs for workforces on AI, Predictive AI, and Generative AI Mastery-level courses, leveraging Agentic Thinking to address high-value, business-critical use cases.
โ Customized AI Consulting โ Helping organizations identify AI-driven opportunities, develop use cases, refine strategies, and implement solutions that deliver real-world impact.
โ Enterprise AI Enablement โ Supporting businesses in seamless AI integration within existing technology ecosystems to maximize ROI and long-term sustainability.
โ Practical AI Learning Experiences โ Conducting hands-on workshops, hackathons, and capstone projects that equip teams with the skills and tools needed to drive AI transformation.With her deep academic and industry expertise, Neena bridges the gap between cutting-edge AI research and practical business applications, ensuring organizations remain at the forefront of AI innovation and digital transformation.