
AI's Role in Transforming Manufacturing
WEF’25 Accredited Panel Discussion | HCLTech Pavilion, Davos

GenAI-powered Digital Service Desk
Harnessing AI to elevate experience, engagement and efficiency

Building future-ready enterprises through Hyper-intelligent Automation
A summary of the automation journey, near-future predictions, proven applicability, use cases and adoption of best practices.

Generative AI and its impact on the IT infrastructure
Discover how GenAI is reshaping IT infrastructure by optimizing data centers, improving cybersecurity, and addressing sustainability challenges amidst rising demand. Read the blog now.

Cognitive automation – committing to business outcomes
As AI advances in leaps and bounds, its infusion into automation has led to the emergence of cognitive automation, which comes with the promise of facilitating committed business outcomes.

How is Agentic AI helping Telcos improve customer experience?
How is Agentic AI helping Telcos improve customer experience?

Agentic AI: The next vanguard in intelligent systems
Agentic AI is revolutionizing enterprises with autonomous decision-making. Explore its differences from GenAI, industry applications and impact on the future of business.

AI and customer experience: A balancing act
AI can be a powerful enabler of cost efficiency and enhanced customer engagement, but only when aligned with broader business strategies and operational processes.

Navigating the hyperautomation horizons: Unveiling the future with AI and NLP
Francesca Curzi on how hyperautomation is revolutionizing business operations

Agentic AI: Unlocking Exponential Productivity
WEF’25 Accredited Panel Discussion | Ice Village, Davos

Customer Experience and AI in Automotive
AI and ML empower auto manufacturers to leverage vehicle data, addressing customer needs effectively. Explore insights as James DiMarzio, Consultant at HCLTech, unpacks their transformative impact.

Integrating AI with Life Sciences data
AI is transforming the life sciences industry by enhancing data integration, addressing ethical concerns, and ensuring secure, compliant AI applications across the pharma value chain.