Article Info

Published 27 Apr 2026

Volume / Issue 2 / Issue 3

Pages 36–54

DOI

10.64823/ijter.2603004

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Shivanand R Koppalkar

Open Access Research Article

19 pages PDF

Enterprise Data Governance Plan for Artificial Intelligence Initiatives: A Framework for Innovate Software Consulting Inc Ltd

Shivanand R Koppalkar

Research

0009-0009-7843-2595 Website ResearchGate LinkedIn

About

28+ years experience architecting innovative product and technology software development in the Financials Services, Utilities, Insurance, Product Development, Human Resources Management (HRMS), Supply Chain & Logistics, Self service, Procure to Pay, Order Fulfillment, Oracle Data Integration, Oracle Enterprise Data Quality, Oracle Business Intelligence, Project Management, SOX Compliance and Information Systems Risk & Compliance, Chartered Wealth Management, Chartered Asset Management, Financial Derivative Products & Instruments and International Transfer Pricing, Mortgages - Individual & Businesses, Data Warehousing and Oracle Analytics Cloud (Fusion Analytics Warehouse). Specialties: Expertise in the Product and Custom Application Development experience in the domain areas of Financial Services, Utilities, Insurance, Human Resources Management (HRMS), Supply Chain and Logistics, and Customer Relationship Management (CRM) and Product Development. Financial Derivative Products & Instruments and International Transfer Pricing, Agile Methodologies - Certified Scrum Master & Certified Scrum Product Owner Accreditations, Certificate in Options, Predictive Analytics, Futures and Derivatives from London School of Business & Finance (LSBF), Big Data, HADOOP, MapReduce, HDFS, Hive, HBase, PIG and Flume, Oracle Fusion Financials, P2P, PPM and PBCS, Inventory and Supply Chain Management Cloud, No Code AI & Machine Learning: Building Data Science Solutions, Cornell AI Strategy Program

Research Interests

Artificial Intelligence Machine Learning Deep Learning Neural Networks Generative AI Agentic AI AI Agents

International Journal of Technology and Emerging Research 2026 , 2 (3) , 36–54

10.64823/ijter.2603004

Received: 24 Apr 2026 Published: 27 Apr 2026

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APA

Shivanand R Koppalkar (2026). Enterprise Data Governance Plan for Artificial Intelligence Initiatives: A Framework for Innovate Software Consulting Inc Ltd. International Journal of Technology and Emerging Research, 2(3): 36–54. https://doi.org/10.64823/ijter.2603004

MLA

Shivanand R Koppalkar "Enterprise Data Governance Plan for Artificial Intelligence Initiatives: A Framework for Innovate Software Consulting Inc Ltd." International Journal of Technology and Emerging Research, vol. 2, no. 3, 2026, pp. 36–54. https://doi.org/10.64823/ijter.2603004

Chicago

Shivanand R Koppalkar. "Enterprise Data Governance Plan for Artificial Intelligence Initiatives: A Framework for Innovate Software Consulting Inc Ltd." International Journal of Technology and Emerging Research 2, no. 3 (2026): 36–54. https://doi.org/10.64823/ijter.2603004

BibTeX

@article{Shivanand R Koppalkar2026enterprise, author = {Shivanand R Koppalkar}, title = {Enterprise Data Governance Plan for Artificial Intelligence Initiatives: A Framework for Innovate Software Consulting Inc Ltd}, journal = {International Journal of Technology and Emerging Research}, year = {2026}, volume = {2}, number = {3}, pages = {36–54}, doi = {10.64823/ijter.2603004}, }

Abstract

This paper presents an enterprise data governance plan for all artificial intelligence (AI) projects at Innovate Software Consulting Inc Ltd. The company offers Oracle Human Capital Management (HCM) Cloud services, business-to-business (B2B) credit risk tools, electronic Integrated Healthcare Management Systems (e-IHMS), and enterprise analytics solutions. The plan covers seven governance areas: data ownership, data quality, privacy and security, lifecycle management, accountability, ethical AI, and ongoing compliance monitoring. It builds on the AI vision statement, ethical AI framework, team structure proposal, and executive review exercise. Two AI tools, Claude (Anthropic) and Gemini (Google), simulate reviews from four C-suite leaders: Chief Legal Counsel, Chief Financial Officer, Chief Operating Officer, and Chief Executive Officer. A critical reflection ties together the feedback and identifies areas for improvement. The plan follows the NIST AI Risk Management Framework and maps to GDPR, CCPA, HIPAA, FCRA, and ECOA rules.

Keywords: artificial intelligence, Ethical AI, Bias Mitigation, NIST AI RMF, Data Governance, Enterprise Stewardship, Data Quality, Privacy Compliance, RACI Accountability, Hub-and-Spoke Governance, Synthetic Data

© 2026 The Author(s). Published by IORO Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original author and source are credited, a link to the license is provided, and any changes are indicated.