International Journal of Sustainability and Innovation in Engineering (IJSIE)
2025
DOI https://www.doi.org/10.56830/IJSIE202506
Authors
Vijayalakshmi Singavarapu
Abstract
This study examines how the concept of Delta Lake can be connected with the business value of ServiceNow to accelerate the collaborative work with AI, especially in terms of applying key Delta Lake functionality such as ACID transactions, automatic data streaming, and governance status.
The study highlights the potential offered by the Delta Lake to allow real-time data ingestion and an uninterrupted teamwork of AI teams and IT operations to result in quantifiable enhancements of AI model performance and operational measures.
Delta Lake provides consistency in AI models trained on ServiceNow data via time travel as a version control feature and continuous updates to keep these models relevant and generate better predictions and decisions, using Change Data Capture (CDC).
The study also emphasizes how Unity Catalog facilitated data governance and how Delta Sharing helped to secure the collaboration of data among teams to make the AI workflow more productive.
The author reports noteworthy findings with an 80% reduction in the time taken to create a resolution note, 14% lower deflection rates on a self-service level, as well as 2-minute time period savings of an AI-driven search.
These findings also emphasize the use of Delta Lake to remove time delays in implementing AI models and their effectiveness, as well as the development of the field of Data governance, and thus, organizations have the keys to unlock the full value of their Data in ServiceNow to implement new AI models jointly.
Keywords:
Delta Lake, Collaborative AI, ServiceNow, Real-Time Data Streaming, Delta Sharing.
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