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Graphs and AI: Unlocking Real Business Value
Manage episode 506560009 series 3499431
محتوای ارائه شده توسط Evan Kirstel. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Evan Kirstel یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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The race to implement AI is leaving many businesses struggling with hallucinations, compliance concerns, and disappointing results. What's missing? According to Dominik Tomičević founder and CEO of Memgraph, it's the critical connection between AI and graph technology.
Dominik shares his fascinating journey from winning a Bill Gates grant at Davos to founding Memgraph after encountering scaling walls with traditional graph databases. His team has pioneered an approach called GraphRAG (Graph Retrieval Augmented Generation), which grounds large language models in living knowledge graphs rather than static document collections. The result? Fewer hallucinations, traceable reasoning, and faster access to institutional knowledge.
Real-world applications are already showing impressive results. NASA's People Knowledge Graph has cut discovery time in half by helping teams find expertise and relationships across the agency. Health researchers at Cedars-Sinai are using knowledge-driven AI to support Alzheimer's research. Financial institutions are identifying fraud rings by analyzing network behavior rather than relying on easily-circumvented rules.
What makes graph databases so powerful for AI applications? Unlike traditional approaches that prompt models with disconnected documents, GraphRAG provides linked, summarized facts and multi-hop paths that justify answers. This matters tremendously for enterprise adoption, where trust, compliance, and regulatory requirements demand explainable AI with clear audit trails.
Looking ahead, Memgraph is focused on making GraphRAG more accessible with turnkey solutions that combine vector and graph capabilities in one engine, better observability tools, and deeper integrations with popular frameworks. For businesses navigating the AI landscape, the message is clear: LLMs are just the finishing layer – you need the right data architecture underneath to deliver real business value.
Ready to explore how graph-powered intelligence could transform your organization? Memgraph 3.0 provides the building blocks to get started on your journey to more reliable, explainable AI.
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فصل ها
1. Graphs and AI: Unlocking Real Business Value (00:00:00)
2. [Ad] Crossing Borders (00:10:12)
3. (Cont.) Graphs and AI: Unlocking Real Business Value (00:10:48)
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