
AI readiness guide
Discover how to optimize your cloud capabilities to enable organization-wide AI adoption at scale.

From security to ethics: Evolving responsibilities in an AI-powered enterprise
Learn how enterprises practically manage secure GenAI implementation while grappling with big ethical questions and the challenges of changing roles and responsibilities.

Gen AI + Cybersecurity: Balancing Innovation and Compliance
We acknowledge GenAl's transformative potential in cybersecurity and its profound impact on the industry.

HCLTech enhances digital experience solution with GenAI
Solution to help enterprises transform their marketing landscape and increase customer experience platform efficiency

Cognitive Knowledge Assistant Enterprise-Grade GenAI Application
CKA is an enterprise-grade generative AI solution for leveraging large language models to boost productivity with chatbots, code generation, summarization and more.

Shaping the Future of Business with Generative AI
Innovate faster and improve customer experience with HCLTech and AWS

Agentic AI is seen as the next major disruption after GenAI for good reasons
Agentic AI represents a crucial advancement in the AI and GenAI revolution, offering substantial benefits to businesses and society through its impactful applications.

GenAI accelerates testing automation for networking and telecom OEM
Empowering a leading American digital communication company to autogenerate testing framework

American semiconductor firm improved experiences and operations with GenAI
HCLTech streamlined employee acquisition workflow for an American semiconductor manufacturing company by leveraging Gen-AI, leading to unified operational processes and enhanced employee experience

The role of GenAI in cybersecurity
Learn how GenAI can strengthen cybersecurity measures, addressing concerns about security risks while meeting its potential in threat intelligence and different cybersecurity domains.


Traditional AI vs GenAI
Read how many of today’s most pressing business problems can be solved by combining more traditional AI with newer GenAI techniques.
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