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DTSTART;TZID=UTC:20261009T140000
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SUMMARY:RAG Explained: How Businesses Can Build AI That Knows Their Data
DESCRIPTION:Understand How RAG Connects AI with Business Data \n\n\n\nGenerative AI can produce useful responses\, but general-purpose AI models may not have access to an organisation’s private\, internal or up-to-date information. \n\n\n\nRetrieval-Augmented Generation (RAG) provides an approach for connecting AI applications with external knowledge sources. It allows an AI system to retrieve relevant information from business data and use that information when generating responses. \n\n\n\nJoin Stephen Peart\, LSET Startup Advisor\, for a practical webinar introducing RAG and exploring how businesses can use it to build AI applications that work with their own data. \n\n\n\nWhat You’ll Learn\n\n\n\nDuring this session\, we’ll explore: \n\n\n\n\nWhat Retrieval-Augmented Generation (RAG) means\n\n\n\nWhy businesses use RAG with generative AI\n\n\n\nHow RAG connects AI applications with business data\n\n\n\nThe main components of a RAG system\n\n\n\nHow documents and other data sources can become searchable knowledge\n\n\n\nHow retrieval works before an AI generates a response\n\n\n\nThe role of embeddings and vector databases\n\n\n\nExamples of business applications for RAG\n\n\n\nHow RAG can support internal knowledge and information retrieval\n\n\n\nKey data security and privacy considerations\n\n\n\nCommon challenges when implementing RAG\n\n\n\nFactors businesses should consider before building a RAG-based AI solution\n\n\n\n\nWhy Attend?\n\n\n\nAI applications are increasingly being used to work with business information\, but organisations need practical approaches for connecting AI with their own knowledge sources. \n\n\n\nRAG provides a way to retrieve relevant information from external data sources and use that information as context for AI-generated responses. \n\n\n\nThis webinar provides a practical introduction to RAG and helps participants understand how the technology can support AI applications that work with business-specific information. \n\n\n\nWho Should Attend?\n\n\n\nThis webinar is suitable for: \n\n\n\n\nBusiness owners and founders\n\n\n\nTechnology leaders\n\n\n\nIT professionals\n\n\n\nSoftware developers\n\n\n\nAI and machine learning professionals\n\n\n\nData professionals\n\n\n\nProduct managers\n\n\n\nDigital transformation teams\n\n\n\nProfessionals exploring enterprise AI\n\n\n\nAnyone interested in RAG and AI-powered knowledge systems\n\n\n\n\nMeet the Speaker\n\n\n\nStephen Peart\n\n\n\nLSET Startup Advisor \n\n\n\nStephen Peart brings practical insight into emerging technologies\, AI adoption and the application of AI within modern business environments. \n\n\n\nIn this session\, Stephen will introduce the fundamentals of RAG and explore how organisations can connect AI applications with their own business data and knowledge sources. \n\n\n\nJoin Us Live\n\n\n\nJoin Stephen Peart for a practical LSET webinar exploring how Retrieval-Augmented Generation can connect AI applications with business data. \n\n\n\nUnderstand How RAG Connects AI with Business Data\n\n\n\nJoin Us Live. \n\n\n\nAbout London School of Emerging Technology\n\n\n\nLondon School of Emerging Technology (LSET) provides professional learning and industry-focused programmes across Artificial Intelligence\, Cybersecurity\, Data Science\, Software Engineering and other emerging technology disciplines. \n\n\n\nThrough webinars\, training programmes and practical learning opportunities\, LSET helps professionals and organisations explore emerging technologies and develop relevant knowledge and skills. \n\n\n\nLearn Today\, Build Tomorrow.
URL:https://lset.uk/event/rag-explained-how-businesses-can-build-ai-that-knows-their-data/
LOCATION:LSET Campus Extension Centre\, 30 Churchill Place\, London\, E14 5EU\, London\, E14 5EU\, United Kingdom
CATEGORIES:Career In Technology Series,LSET Webinar
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ORGANIZER;CN="LSET Social Club":MAILTO:admission@lset.uk
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