Graph validation with novel AI and computer vision techniques
In the digital world, handling complex quantitative data can be challenging. Our whitepaper proposes an AI-based solution to automate graph validation including colors, shades, boundaries, and text.
Structuring Unstructured data
Start with the end in mind and identify your goals with your UDM program
Smart labelling
Discover how our smart labelling solution leverages AI and machine learning to streamline the creation of patient information leaflets, improving efficiency and reducing the processing time.
Data Quality Framework in Snowflake
Enabling accurate and efficient data cleansing with the solution framework
Semi-structured and unstructured data in Snowflake
HCLTech’s cutting edge snowflake solutions for data analytics
Streamlining Data Management with HCLTech Infonomics
HCLTech Infonomics offers DMaaS solutions, simplifying data management with services like backup, recovery and cloud integration, optimizing security, reducing costs and enhancing efficiency.
Infonomics: Optimize cloud data management
In the digital age, managing growing data is a challenge. HCLTech Infonomics offers smart information management through DMaaS. Download the brochure to learn more.
Empowering business breakthroughs with HCLTech's Analytics solutions
Unleashing decision intelligence through advanced Analytics and Alteryx
Data Analytics and AI/ML
Discover how our AI and ML solutions can help you democratize data use and become data-driven and customer-centric.
Dark data assessment: Get insights from unstructured data
Minimize sensitive data exposure and optimize costs with VisualizeNXT and ArchiveNXT. Download the brochure to learn more.
Discover and protect sensitive data with built-in isolation and ticketing
HCLTech Data Patrol leverages native AWS services to provide end-to-end automation from scanning the sensitive data to dashboarding key insights for business consumption.
AlertAE: Next-gen pharmacovigilance solution
Intelligent identification and classification of adverse events, product quality complaints and clinical queries