
DataOps from HCLTech
Agile data management for continuous value creation
Ensure the Expertise and Technology Necessary to Manage Vast High-speed Data
Today’s data platforms are complex, dynamic environments critical to the success of your organization. Managing and supporting all integrated components across the data lifecycle, from ingestion to visualization, has become increasingly difficult and costly and requires specialized skills.
HCLTech offers DataOps managed services and industry-leading tools for your entire data pipeline to ensure high availability and peak performance while reducing operational costs.

Best-of-breed Solutions for Streamlining DataOps and Platform Management
HCLTech brings innovation and automation to DataOps to ensure complete visibility of your data pipeline and maximize impact when intervention is necessary, while reducing technical overhead and cost.
Graviton
Data platform modernization framework that enables enterprises to efficiently build, deploy, monitor and maintain agile and cost-efficient, modern data platforms.
Spotter DQV
Data quality monitoring solution for the detection and correction of data quality issues. Uses a standard framework-driven approach for efficiency and leverages advanced ML/DL models for outlier detection, data imputation and variance anomaly.
Antares iDL
Modern data platform with integrated components for building scalable industrial data platforms using best-of-breed technologies, designed for the cloud era.
AION
AI lifecycle management platform for applying machine learning to real-world problems. AION automates the complete data pipeline from raw dataset ingestion to deployable machine learning model with a low-code/no-code approach.
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Solutions offerings
Data Platform Maintenance
Optimize your data infrastructure to maintain data quality, reliability and accessibility, ensuring effective data-driven operations.
Data Observability Platform
Get a holistic view of the overall health of your data pipeline to optimize response times and impact.
Data Pipelines Support
Ensure smooth and reliable data flow across systems to maximize data insight value and decision-making speed.
Data Application Support
Manage, troubleshoot and optimize applications to ensure performance and responsiveness to end-user needs.
DataOps
Drive agility in data management to automate data pipelines, improve data quality and accelerate insight delivery.
Case Studies

Improving oil and gas visibility and control with AWS IATM solution
Implementing a centralized system for tracking and managing assets across ONG (Oil and Natural Gas) field operations to improve asset visibility and control.

Transforming asset inventory management with digitalized tracking and monitoring solution built on AWS
Maximize device utilization and efficiency with a unified inventory tracking solution that streamlines asset management, reduces errors and ensures accurate real-time visibility across operations.

AWS-powered smart tracking boosts productivity in healthcare
Implement Smart Material Tracking (SMT) on AWS to digitalize material handling, boost workforce efficiency and automate audits for improved accuracy and productivity in manufacturing operations.

Transforming lab operations with Smart Inventory Management Solution on AWS
Implementing an automated system for tracking and managing lab inventory, which provides real-time visibility into stock levels, ultimately optimizing lab operations.

Seamless Windchill migration to AWS Cloud: Enhanced security and geographical resilience
A leading Sweden-based food manufacturer partnered with HCLTech to modernize its Optiva PLM by migrating from on-prem to AWS, enhancing security and identity management.

Enhancing security and compliance: PLM hosting on AWS for a leading consumer goods manufacturer
A leading Finland-based consumer goods firm partnered with HCLTech to modernize PLM and CAD on AWS using the 1PLMCloud accelerator for app and cloud transformation.
Trends and Insights

The AI inflection point in Life Sciences
Artificial intelligence and its various subsets, including Generative AI, are accelerating breakthroughs across the life sciences industry

In the new industrial era, a secure, AI-powered digital thread is essential to unify data, empower workers, enhance efficiency and drive measurable outcomes in manufacturing

For enterprises balancing speed with responsibility, openness is now the clear path forward — a principle at the heart of the HCLTech–AMD partnership

The AI edge: Driving scalable innovation in manufacturing
Powered by AI and its subsets, including GenAI and Agentic AI, cloud and IIoT technologies, smart manufacturing is evolving fast

Organizations are embracing a future where autonomous agents act as digital colleagues, owning end-to-end workflows and running at scale in the cloud

Rethinking operating models for an AI-driven future
How can enterprises overhaul their operating models, across strategy, structure, culture and metrics, to become truly AI-led and customer-centric?


Talk to our experts
See how you can accelerate your data modernization to drive innovation and revenue.