Mr. Ashish Hota

The Modernization of the Quote-to-Cash Process in Data Centers through AI and Automation

Abstract:

The Quote-to-Cash (Q2C) process is a critical element in business operations, particularly in data centers where scalability, rapid provisioning, and efficiency are paramount. With the rise of Artificial Intelligence (AI) and automation, the modernization of Q2C processes is transforming how organizations deliver services and manage customer relationships. This paper explores how AI and automation are reshaping Q2C in data centers, discussing the technical innovations, operational benefits, challenges, and real-world case studies that demonstrate the capacity of AI to drive revenue growth, improve accuracy, and enhance the customer experience in the highly competitive data center market.

Profile:

Ashish Hota, a senior IT product manager with over 20 years of experience, is a strategic leader in digital transformation and enterprise solution optimization. He specializes in Quote-to-Cash (Q2C), AI-powered pricing models, SaaS-based applications, and cloud-native technologies, driving business agility and operational excellence. Ashish’s expertise blends technical proficiency, product strategy, and managerial leadership, enabling end-to-end transformation across industries. He holds a UKIPO-approved design patent for an “AI and ML-Enabled Computer Device for Multimodal Data Fusion for Decision Making,” a groundbreaking innovation integrating diverse data streams for enhanced decision accuracy, fraud detection, and operational intelligence in enterprise workflows.