The whitepaper titled “Transforming Custody Operations with GenAI” explores the tangible impact of GenAI on the high-volume, exception-driven world of custodian banks. Using industry references from institutions such as BNY Mellon, JPMorgan, Northern Trust, State Street and Citi, the paper demonstrates how GenAI, machine learning and NLP enable intelligent reconciliation, automated processing of unstructured asset-servicing notices, predictive settlement insights, and faster client servicing.
Private 5G: More Than Connectivity—It’s a Catalyst for Transformation
The telecom and connectivity industry has evolved rapidly over the past few years—expanding from public 5G rollouts to the growing adoption of Private 5G networks across enterprises. As organizations accelerate digital transformation, they increasingly need secure, reliable, and scalable connectivity that goes beyond what traditional Wi-Fi or public networks can deliver. This growth, however, unfolds within a complex and fragmented ecosystem.
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Enterprises are chasing AI at scale, but many are just scaling chaos. Disconnected pilots, patchy governance and scattered data give the illusion of progress until the cost of rework hits. The next phase of AI maturity belongs to organizations that build for structure, not speed, because you can’t scale chaos. You can only scale confidence.
Author’s note
This piece draws on a recent episode of the Elevate podcast featuring Srini Kompella, who leads AI transformation at HCLTech and Matt Sinclair, Global GTM Lead for AI Applications at Microsoft.
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Trade surveillance has become one of the most critical regulatory functions in modern markets. Yet, the volume, velocity and variety of data (trades, orders, communications and market signals) make manual investigation impractical and costly. HCLTech’s InsightGen, built natively on AWS, delivers a GenAI–powered framework that automates alert triage, contextualizes disparate data and generates evidence-backed, auditable summaries. The result is faster alert closure, higher accuracy and transparent compliance at scale.
Scaling Physical AI: How HCLTech, Dell and NVIDIA Are Turning Enterprise AI into Real-World Impact
Enterprises everywhere are racing to infuse AI into their operations, products and customer experiences. Yet many remain stuck in "pilot purgatory," running impressive proofs of concept that never quite make it into production, especially when AI must interact with the physical world in factories, warehouses, hospitals or cities. Moving from isolated experiments to industrialized, secure and scalable Physical AI requires more than algorithms; it needs an integrated AI factory and a safe way to test how AI behaves in complex, high-stakes environments.


