Generative AI and LLMs: The future of innovation in manufacturing
Discover how AI and LLMs are setting new standards in manufacturing, unlocking new potential and driving the industry toward greater efficiency and innovation
Private AI for Enterprises
Explore the rise of GenAI, its ethical dilemmas, and why enterprises are adopting private AI for better data security, control and compliance in hybrid cloud environments.
Engineering AI for a resilient, sustainable and innovative future
In this edition of Straight Talk magazine, we delve into the immense potential of Generative AI as a force for good and explore how digital engineering and AI can pave the way for a resilient and sustainable future for enterprises.
Engineering AI for a resilient, sustainable and innovative future
In this edition of Straight Talk magazine, we delve into the immense potential of Generative AI as a force for good and explore how digital engineering and AI can pave the way for a resilient and sustainable future for enterprises.
GenAI – the manufacturing opportunity
Download PDF GenAI – the manufacturing opportunity
How AI is reshaping healthcare
AI is powering the development of innovative medical devices and technologies that have the potential to revolutionize healthcare delivery.
MPMAccelerate
AI-enabled digital manufacturing engineering on Teamcenter platform
HCLTech to showcase advance engineering and AI solutions at SEMICON India
HCLTech will showcase a comprehensive suite of enterprise, digital and engineering innovations specifically designed for the semiconductor ecosystem at SEMICON India from September 11-13.
Creating an AI-ready workforce
To successfully productionize and scale AI, organizations need to create an AI-ready workforce
The rise of robotics in smart manufacturing
Multiple internal and external factors are driving the adoption of robotics in the manufacturing industry.
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.