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Healthcare Providers
Join us at ViVE 2026 from February 22-25 in Los Angeles. Visit our booth to network with industry peers, learn from leading experts and explore the latest trends in the healthcare industry.

AI’s potential in healthcare is constrained by structural silos. A product-aligned operating model integrates teams, data and technology to drive scalable, outcome-focused innovation.
Discover how HCLTech’s whitepaper on Responsible AI helps life sciences and healthcare build trust. Explore principles, adoption steps, and case studies.
Discover a new method to enhance web accessibility for visually impaired individuals by automating alt text generation using large language models.
Discover our whitepaper on AI-powered code review assistants, enhancing code quality and efficiency with advanced language models.
HCLTech and AWS are transforming product design by addressing legacy system challenges, enhancing collaboration, agility and innovation, while ensuring security and compliance in a digital landscape.
HCLTech and Palo Alto Networks have introduced Prisma AIRS, a secure AI runtime platform designed to help enterprises confidently scale Agentic AI, with built-in security from the ground up.
Highlights a customer's transformation of their HPC environment using AWS, focusing on scalability, automation and visualization to enhance performance and user productivity.

HCLTech’s latest research shows that empowering people through clear roles, value-driven alignment, and AI-driven collaboration is key to successfully transitioning to a product-aligned way of working
Govind Chandranani, Practice Head of Engineering and R&D Services at HCLTech, discusses how enterprises adopting GenAI must embed responsible governance to balance innovation with trust and compliance

Addressing GenAI implementation challenges through systematic, risk-mitigated adoption.

AI and GenAI, including small language models, are transforming data centers by enhancing efficiency while addressing complex problems and highlighting strategic recommendations for adoption.