AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

LG CNS Tech Stack and Enterprise Applications

LG CNS AI Development
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CoreWeave Legacy CoreWeave Compute Services AI infrastructure AI Development n/a 2025 2025
In 2025, LG CNS implemented CoreWeave Compute Services to provision scalable AI infrastructure for its AI labs and enterprise engineering teams. The deployment uses CoreWeave Compute Services to centralize GPU compute capacity and deliver an AI infrastructure fabric aligned with the customer wins CoreWeave reported that list LG CNS among AI labs, hyperscalers, and enterprise customers. The implementation configures GPU accelerated compute clusters accessible via API driven self service, container orchestration and workload scheduling layers to support model training and inference workloads. CoreWeave Compute Services was set up with multi tenant resource pools, flexible instance profiles, automated provisioning workflows, and data staging with high throughput storage options to handle large training datasets and inference payloads. Operational coverage targets LG CNS teams in South Korea across AI labs, research and development, and enterprise AI service units, with governance implemented through centralized access controls, quota and entitlement policies and role based provisioning. Workflows were restructured to centralize environment provisioning and standardize model training pipelines, enabling LG CNS engineers to request, consume and scale GPU resources through programmatic interfaces while maintaining governance and operational control.
ML and Data Science Platforms AI Development 2017 2017
LG CNS Analytics and BI
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Puzzle Data Co. Legacy ProDiscovery Process Mining Analytics and BI n/a 2019 2019
In 2019, LG CNS implemented ProDiscovery, deploying a Process Mining application to instrument and analyze end to end operational workflows. The implementation is listed by vendor Puzzle Data Co. as a customer deployment of ProDiscovery for process-level analytics. The ProDiscovery deployment focused on core Process Mining capabilities including automated process discovery, conformance checking, performance analytics, variant analysis, and visual process maps. Configuration work included event log ingestion and cleansing, timestamp normalization, case and activity mapping, KPI configuration, and scheduled model regeneration to support iterative analysis. Architecturally the implementation centered on event log ingestion pipelines feeding a central analytical repository, with preprocessing and model generation layers producing process models and performance dashboards. Role based access and configurable dashboards were provisioned to give operational analysts and process owners interactive exploration and drill down into case level events. Governance activities were aligned to embed Process Mining outputs into existing operational review rhythms, establishing repeatable analysis cadences and process stewardship responsibilities across business functions such as operations, IT, and service delivery. The narrative reflects a category aligned implementation of ProDiscovery within LG CNS without specification of downstream system integrations.
LG CNS Blockchain
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Hyperledger Legacy Hyperledger Fabric Blockchain Platform Blockchain n/a 2018 2018
In 2018, LG CNS implemented Hyperledger Fabric as the foundational technology for its in-house Monachain initiative, establishing a Blockchain Platform for authentication, digital currency, and supply chain management. Monachain is explicitly based on Hyperledger Fabric and serves as the underlying ledger and smart contract layer for LG CNS blockchain services. The implementation focused on functional modules for digital identity and authentication, community digital currency issuance and payment processing, and supply chain traceability. LG CNS integrated AI facial recognition with the blockchain payment workflow so that facial recognition devices validate employee identity and then trigger access to blockchain-based community currency, enabling contactless payments at a cafeteria counter. The solution is hosted on the cloud, with the Hyperledger Fabric network providing immutable transaction records and digital identity anchoring for payments. Operational usage has been piloted at LG headquarters for entry control and a restaurant counter, with LG CNS positioning Monachain and Hyperledger Fabric as the Blockchain Platform for broader use cases. The company has engaged in identity ecosystem activities, including membership in the Decentralized Identity DID Alliance Korea, and has worked with external organizations such as KOMSCO on community currencies and with KB Kookmin Bank on the Magok Community Currency Platform, while also collaborating on a food traceability service with SayIT. Governance and rollout have proceeded as targeted pilots, with LG CNS running the facial recognition community currency pilot to reduce contact at payment points and planning expansion to additional stores and service areas. The implementation ties Hyperledger Fabric based blockchain identity and payments to AI-driven authentication workflows, positioning the Blockchain Platform to support both internal service pilots and external collaborations on digital identity and tokenized community currency initiatives.
LG CNS ITSM
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IT Service Management ITSM 2023 2023
LG CNS PPM
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Project Portfolio Management PPM 2022 2022
LG CNS IaaS
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Category
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VAR/SI
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Insight
Application Hosting and Computing Services IaaS 2020 2020
Content Delivery Network IaaS 2021 2021
Content Delivery Network IaaS 2019 2019
Database Management, Open-Source Database IaaS 2020 2020

IT Decision Makers and Key Stakeholders at LG CNS

First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by LG CNS Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from LG CNS IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the LG CNS digital transformation priorities and AI adoption trends.
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FAQ - APPS RUN THE WORLD LG CNS Technographics
LG CNS is a Professional Services organization based in South Korea, with around 7000 employees and annual revenues of $3.70 billion.
LG CNS operates a diverse technology stack with applications such as CoreWeave Compute Services, ProDiscovery and Hyperledger Fabric, covering areas like AI infrastructure, Process Mining and Blockchain Platform.
LG CNS has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as CoreWeave, Puzzle Data Co. and Hyperledger.
LG CNS recently adopted applications including CoreWeave Compute Services in 2025, ServiceNow ITSM in 2023 and Swit in 2022, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of LG CNS’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates LG CNS’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete LG CNS technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.