HCLTech and IBM announce GenAI CoE to deliver customized AI solutions
HCLTech plans to train 10,000 of its engineers and architects on IBM’s watsonx™ AI and data platform to help enterprises accelerate GenAI adoption
HCLTech is collaborating with Microsoft to bring the power of generative AI
HCLTech is collaborating with Microsoft to bring the power of generative AI to businesses worldwide and optimize business processes.
Implementing AI Responsibly: Your Five-Point Framework
How a holistic approach to integrating Microsoft AI technologies embeds agility to deliver organization-wide value at scale while helping mitigate data bias.
Dynamics 365 Copilot: The First AI assistant for CRM and ERP
Dynamics 365 Copilot is an AI-powered assistant that helps users in sales, service, marketing and supply chain management be more organized and productive.
Driving innovation with AI and machine learning (ML) in IT operations
Discover how advanced AI and ML technologies are reshaping operations, reducing human error, saving costs and driving efficient, autonomous systems. Read the blog now.
HCLTech and ServiceNow partner to deliver new generative AI-led solutions
The alliance will provide consulting, design, implementation and managed services, enabling enterprises to adopt GenAI for transformative experiences
HCLTech launches Enterprise AI Foundry on Microsoft Azure
This will enable streamlined operations and smart decision-making, accelerating time-to-value and driving positive business outcomes.
Customer Experience Transformation with GenAI
Virtual assistance and automated customer support have been in use for the last few years, but what drives enterprises now is leveraging the true potential of AI to shape futuristic experiences.
HCLTech boosts AI, ML offerings with new Microsoft Azure specializations
New specializations underscore HCLTech’s expertise in helping enterprises develop and deploy custom ML models with its Scale AI data science platform
Small language models: The future of efficient and specialized AI in business
Large Language Models (LLMs) like OpenAI’s GPT have gained attention but pose challenges. High costs, resource demands and privacy concerns have led to a shift to small language models (SLMs).