
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

Reimagining in-store experiences for a leading telecom giant
Our client, one of the largest telecom service providers in the U.S., offers a broad portfolio of smartphones, accessories, and home broadband solutions

AI-led video analytics platform to drive greater efficiency in monitoring operations
Engineered an advanced video analytics platform to drive greater efficiency and productivity in monitoring operations for WaterNSW

Streamlining ITSM with GenAI: Faster Onboarding, Smarter Support
HCLTech helped a global tools maker modernize ITSM. This reduced ticket resolution time, improved knowledge access, and streamlined onboarding for IT support engineers.

Smart Analytics for a Global Industry Leader
A global consumer and industrial firm partnered with HCLTech to modernize data and analytics, aiming to boost decision-making, reduce manual work, and scale insights across functions.

Transforming e-commerce performance with 100% uninterrupted availability
Enhancing speed, security and reliability for a leading U.S. telecom giant

AI-led identification of early signs of rust and corrosion across vast industrial surfaces
HCLTech co-engineered an AI-powered drone-based monitoring solution capable of observing and identified early signs of rust and corrosion across vast industrial surfaces for a Japanese client
Trends and Insights

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?

Implementing multiple agents in a multicloud ecosystem requires interoperability and orchestration

Enterprises must govern Agentic AI using guardrails like guardian agents and frameworks (OWASP, MITRE OCCULT) to ensure ethical, transparent and compliant autonomous behavior

The enterprise imperative: Addressing process challenges in the age of Agentic AI
Enterprises must overcome process, data, security and interoperability challenges to unlock the full potential of Agentic AI

The pre-built revolution: How modular GenAI solutions are redefining market fit
Modular GenAI platforms are redefining enterprise AI delivery - offering scalable, pre-built solutions that boost efficiency, reduce costs and accelerate implementation across industries


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