Top tech companies have utilized graphs to power everything, from fraud detection systems to recommendation engines, and they are now finding their way into use cases across industries. This session will introduce the concept of graph analytics and the algorithms used to find hidden insights in data that enhance decision making, with context as king. Additionally, we will explore how Knowledge Graphs can significantly augment LLMs, particularly in the context of Retrieval Augmented Generation (RAG) systems.
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Afraz Jaffri
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talks
Afraz Jaffri is a Research Director at Gartner, where Mr. Jaffri focuses on Analytics, Data Science and AI. He advises Data and Analytics leaders on making the most from their investments in modern data science, machine learning and analytics platforms. He has particular focus on how to organize analytics and data science teams, implementing graph-based data management and analytics solutions and developing best practices for operationalizing machine learning models.
Bio from: gartner-data-analytics-apac-2025
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Moving AI projects from pilot to production requires substantial effort for most enterprises. AI Engineering provides the foundation for enterprise delivery of AI and generative AI solutions at scale unifying DataOps, MLOps and DevOps practices. This session will highlight AI engineering best practices across these dimensions covering people, processes and technology.
Moving AI projects from pilot to production requires substantial effort for most enterprises. AI Engineering provides the foundation for enterprise delivery of AI and generative AI solutions at scale unifying DataOps, MLOps and DevOps practices. This session will highlight AI engineering best practices across these dimensions covering people, processes and technology.
While AI is popular in the media, surveys show about half of organizations struggle with basic data science, fearing they will fall behind. This fear can hinder progress, especially in certain industries. However, they don't have to choose between AI and foundational data science. By combining predictive and prescriptive analytics, organizations can leverage the best of both worlds to create better solutions.