PARTICULAR
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Page No.
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Generative AI in Enterprise Software Testing
Prasad Banala
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1-6
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Digital Experience Observability in AI-Enhanced Systems: A Framework for Product Managers
Tingting Lin
Abstract:
This research addressed a critical gap in measuring AI system effectiveness within enterprise environments, with a specific focus on incident management applications.
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6-14
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RAG - Game Changer in GenAI Space
Shekhar Jha
Abstract:
Generative AI Challenge - AI hallucinations
It is challenging to rely on Generative AI (GenAI) to provide users and customers with custom, correct and real-time answers to their questions
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14-37
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Optimizing Data Lakehouse Architectures for Scalability and Performance
Pratap Pachipulusu
Abstract:
As organizations increasingly rely on data-driven decision-making, the need for efficient, scalable, and high-performing data architectures has grown significantly.
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38-42
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AI-Driven Automation in Data Engineering: Opportunities and Challenges
Gowtham Kumar Reddy Mittoor
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43-47
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A Deep Learning Framework for High-Dimensional Data Analytics
Hanza Parayil Salim
Abstract:
High-dimensional data analysis has become an essential area of focus across various fields, including healthcare, finance, cybersecurity, and scientific research.
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48-54
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The Evolution of Data Pipelines: From Batch Processing to Real-Time Streaming
Greeshma Suryadevara
Abstract:
Data pipelines form the backbone of modern data engineering, facilitating the extraction, transformation, and loading (ETL) of data to support analytics and decision-making.
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55-59
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The Future of Data Engineering: Trends in Data Mesh and Decentralized Data Architectures
Greeshma Suryadevara
Abstract:
As organizations scale their data ecosystems, traditional centralized data architectures struggle to keep up with the demands of modern analytics, governance, and scalability.
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60-65
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