Using AI to Transform Modern Data Platforms: Bridging the Gap between Data and Business Users
DOI:
https://doi.org/10.32628/CSEIT251112148Keywords:
Data Democratization, Natural Language Query Processing, Metadata Automation, Conversational Analytics, AI GovernanceAbstract
The integration of artificial intelligence in modern data platforms has fundamentally transformed how organizations interact with their data assets. This transformation encompasses several key innovations: natural language interfaces that enable direct SQL query generation, AI-powered business catalogs that automate metadata management, and conversational analytics systems that facilitate intuitive data exploration. These advancements have democratized data access across organizational hierarchies, reducing dependency on specialized technical teams while enhancing operational efficiency. The evolution from traditional rule-based systems to sophisticated neural network architectures has enabled more accurate query processing, improved schema mapping, and context-aware interactions. Additionally, the implementation of active metadata management and automated governance frameworks has strengthened data quality and compliance measures. As these technologies continue to mature, organizations face both opportunities and challenges in scaling their AI implementations while maintaining security, privacy, and model explainability.
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References
Rama Ryali, "Today's Imperative for Data Democratization," GetRightData Resources, 2022. Available: https://www.getrightdata.com/resources/todays-imperative-for-data-democratization
Josh Howard et al., "The State of Enterprise AI: How Early Adopters are Driving Success," 2024. Available: https://www.databricks.com/blog/state-enterprise-ai-how-early-adopters-are-driving-success
Muhammad Shahzaib Baig, "Natural Language to SQL Queries: A Review," 2022. Available: https://www.researchgate.net/publication/379839268_Natural_Language_to_SQL_Queries_A_Review
Neelu Nihalani et al., "Natural language Interface for Database: A Brief review," 2011. Available: https://www.researchgate.net/publication/266863909_Natural_language_Interface_for_Database_A_Brief_review
Alation Blog, "Why Metadata Maturity Matters for AI-Ready Data: Key Points from Gartner," 2024. Available: https://www.alation.com/blog/metadata-maturity-ai-ready-data-gartner/
Gartner Research, "Market Guide for Active Metadata Management," 2021. Available: https://www.gartner.com/en/documents/4004082
MarketsandMarkets, "Conversational AI Market by Technology (Supervised Learning, Reinforcement Learning, Sentiment Analysis, ASR, Speech to Text, Data Mining, Voice Activity Detection), Conversational Agents (Generative AI, AI Bots, IVA) - Global Forecast to 2030," 2024. Available: https://www.marketsandmarkets.com/Market-Reports/conversational-ai-market-49043506.html
Coherent Solutions, "NLP in Business Intelligence: 7 Success Stories, Benefits, and Future Trends," 2024. Available: https://www.coherentsolutions.com/insights/nlp-in-business-intelligence-7-success-stories-benefits-and-future-trends
Deloitte, "Becoming an AI-fueled organization," 2024. Available: https://www2.deloitte.com/content/dam/insights/articles/US144384_CIR-State-of-AI-4th-edition/DI_CIR_State-of-AI-4th-edition.pdf
Aleksandra Sidorowicz, "AI in data analytics: opportunities and challenges," 2024. Available: https://www.future-processing.com/blog/artificial-intelligence-in-data-analytics-opportunities-and-challenges
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