IJBTT

Innovation through Informatica Intelligent Master Data Management for AI-Driven Enterprises
	© 2024 by IJCTT Journal
	Volume-72 Issue-6
	Year of Publication : 2024
	Authors : Bhuvaneshkarthick Krishnasamy
	DOI :  10.14445/22312803/IJCTT-V72I6P117

How to Cite?

Bhuvaneshkarthick Krishnasamy, "Innovation through Informatica Intelligent Master Data Management for AI-Driven Enterprises," International Journal of Computer Trends and Technology, vol. 72, no. 6, pp. 126-131, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I6P117

Abstract
In the modern data-driven economy, enterprises are challenged by managing vast amounts of critical data essential for operations and strategic initiatives. As organizations increasingly leverage Artificial Intelligence (AI) and advanced analytics, the accuracy and reliability of data become crucial. Despite its importance, effective data management remains a significant challenge, hindering AI scalability for 72% of leading organizations, according to McKinsey [1]. This article explores the vital role of maintaining a trusted 360-degree view of data in enhancing productivity, refining customer experiences, and providing essential business context. It examines the detrimental impact of inaccurate master data on AI initiatives and decision-making, highlighting inefficiencies and productivity losses. The necessity for businesses to prepare their data for generative AI to realize its full potential is emphasized, with Gartner predicting that over 80% of enterprises will use Generative AI APIs or deploy Generative AI-enabled applications by 2026 [2]. This paper advocates for a comprehensive data management strategy, highlighting Informatica's Intelligent Master Data Management (MDM) platform as a solution that offers unparalleled capabilities, including a 360-degree view and a single source of truth. The platform, powered by the AI engine CLAIRE® (Cloud-centric AI-backed Real-time Engine), manages diverse data types across locations, accelerating deployment and enhancing productivity. This study provides a strategic framework for implementing advanced Informatica MDM to drive sustainable business outcomes and maximize AI potential.

Keywords
Artificial Intelligence, Master Data Management, Cloud MDM, MDM SaaS (Software as a Service), Intelligent Master Data Management.

Reference

[1] The Data Dividend: Fueling Generative AI, McKinsey Digital, 2023. [Online]. Available: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-data-dividend-fueling-generative-ai
[2] Analysts to Discuss Generative AI Trends and Technologies at Gartner IT Symposium/Xpo 2023, Gartner, 2023. [Online]. Available: https://www.gartner.com/en/newsroom/press-releases/2023-10-11-gartner-says-more-than-80-percent-of-enterprises-will-have-usedgenerative-ai-apis-or-deployed-generative-ai-enabled-applications-by-2026
[3] Jayesh Chaurasia et al., The Forrester Wave™: Master Data Management, Q2 2023, The 15 Providers that Matter Most and How They Stack Up, FORRESTER, 2023. [Online]. Available: https://reprints2.forrester.com/#/assets/2/589/RES178500/report
[4] Pete Goddard, The Data Silos Holding You Back are All in Your Head, insideBIGDATA, 2022. [Online]. Available: https://insidebigdata.com/2022/01/14/the-data-silos-holding-you-back-are-all-in-your-head
[5] Dan Everett, How AI Improves Master Data Management (MDM), Informatica, 2023. [Online]. Available: https://www.informatica.com/blogs/10-ways-ai-improves-master-data-management.html
[6] Malcolm Hawker, 4 Critical Mistakes to Avoid During Your Master Data Management Implementation, Profisee, 2022. [Online]. Available: https://profisee.com/blog/4-critical-mistakes-to-avoid-during-your-master-data-management-implementation/