Mr. Milan Parikh

The Convergence of AI, Low-Code Platforms, and Data-Driven Decisions

Abstract:
Organizations are encumbered when attempting to modernize their legacy infrastructure to support current AI applications that reshape enterprise operations. Organizations are unable to obtain agile and scalable smart computing power since independent data technologies drive inflexible technology platforms and disjointed design architecture.

The session demonstrates how organizations can create scalable smart platforms for operational performance and innovation using a combination of repeatable architecture and AI-friendly data lakes. Milan Parikh will delineate practical data modernization strategies for enterprise companies from his extensive 15-year experience. The session will demonstrate how organizations can build modular data platforms that will break down data silos while creating AI-friendly environments that enable data democratization through governance.

The presentation will demonstrate how these strategies create scale-up data environments that are secure and solve future business requirements through real-life examples. The presentation will provide the participants with a practical guide to implementing these strategies within their organizations that will enable them to attain maximum intelligent computing value and digital environment success.

Profile:

Milan Parikh has served as a Senior Enterprise Data Architect for over fifteen years, spearheading critical digital transformation initiatives at numerous global industry-leading organizations, including Ford, Toyota, Accenture, Martin Brewer, Brown and Brown, Dart, and Mosaic.

Leveraging his extensive expertise within the Microsoft technology ecosystem, encompassing the Power Platform, Microsoft Fabric, Azure, and Dynamics 365, Milan has demonstrated a unique and highly valuable ability to translate intricate and complex data challenges into innovative AI-native architectural solutions. His strategic approach focuses on developing robust data solutions that not only address immediate business needs but also proactively anticipate and cater to future business possibilities and evolving landscapes.

A core strength of Milan's professional approach lies in his ability to democratize access to enterprise data platforms for a wide range of users. His data ecosystem designs result in sophisticated yet remarkably user-friendly systems that empower citizen developers with access to enterprise-grade security and comprehensive governance features. The modular nature of his data infrastructure designs enables organizations to fully leverage their data assets while simultaneously accelerating intelligent automation processes across various business functions.

Through his influential leadership role as both a mentor and a respected thought leader within the technology community, Milan actively guides professionals in understanding how strategically implemented AI-driven data strategies and unified analytics can generate significant and sustainable competitive advantages for modern enterprises operating in today's dynamic business environment.

Milan's profound strategic data expertise, combined with his collaborative and inclusive leadership style, positions him as an invaluable advisor for executives who are currently leading data-driven digital transformation efforts within the context of our increasingly AI-powered business environment.