Embedded Engineering Services
Executing turnkey embedded systems design software development projects
HCLTech launches new Salesforce-based CX solutions at Dreamforce 2023
The digital solutions will enhance customer experiences in healthcare, automotive and financial services with advanced AI and data capabilities.
Shaping the future of manufacturing with AI
Shaping the future of manufacturing with AI-enhanced defect detection and solution
Application Engineering Labs Services
his webpage gives an overview about the engineering labs as service present globally.
Building with AI to improve productivity
To better serve its clients and reduce the significant costs incurred through time-consuming legal tasks, this global law firm turned to HCLTech to develop a more efficient and scalable solution.
Reimagining IT service management through artificial intelligence
We redefined business process for a leading furniture retailer
AI in the Financial Services industry
This paper looks at some of the ways in which financial services organizations are implementing and utilizing AI and hyper-personalization in their processes.
AI to improve productivity and collaborative engineering processes
Whitepaper focuses on problems like information access, automation of repetitive tasks, and translation into engineering processes like Management, Systems Engineering, Design Data Management, etc.
Digital process twins for intelligent automation
Digital twin technology, once for assets, now adopted by all sectors, drives M&A in automation. It tackles challenges and propels automation maturity, essential for digital-first businesses.
Unlocking new possibilities with AI in Aerospace and Defense
Our whitepaper delves into AI's impact on aerospace and defense, highlighting Generative AI's role, use cases, benefits, and our solutions for its adoption.
Data engineering and AI services for the semiconductor ecosystem
Learn more about how HCLTech can help you transform the semiconductor ecosystem with our data engineering and AI services.
AI and Generative AI
AI predicts outcomes using historical data, while Generative AI creates new content. Their growth is vital for informed decision-making in life sciences, necessitating careful validation.