how to manage data differentiation in generative ai implementations?
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rag
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rag reference architecture
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data in the end user critical path
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what are vector embeddings?
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words as text
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words as vectors
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storing vectors and data together
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enabling vector search across our services
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achieve better business outcomes with data modernization
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build a data foundation to fuel your generative ai applications on aws
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we are here to help
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demo code and workshop
Description:
Explore the transformative power of Generative AI in driving growth and innovation through data in this 25-minute conference talk from Conf42 LLMs 2024. Discover how innovation can revolutionize industries, learn about generative AI applications, and understand what CEOs need to know about this technology. Delve into the importance of data as a differentiator, explore the concept of more personal virtual agents, and examine content management strategies. Gain insights into managing data differentiation in generative AI implementations, including RAG (Retrieval-Augmented Generation) and its reference architecture. Investigate the role of data in end-user critical paths, understand vector embeddings, and explore the transition from words as text to words as vectors. Learn about storing vectors and data together, enabling vector search across services, and achieving better business outcomes through data modernization. Conclude with guidance on building a data foundation for generative AI applications on AWS, followed by a demonstration of code and workshop materials.
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The Power of GenAI: Generate Growth and Innovation with Data