AI and GenAI
Engineering trust: Responsible AI for the next generation of Physical AI systems
Explores how Physical AI moves intelligence into real-world systems and why Responsible AI is critical to scaling them safely, securely and sustainably through trust, governance and human oversight.
Closing service documentation gaps with AI-driven transcript intelligence
Discover how AI-powered transcript intelligence continuously enriches service documentation, reducing support costs and accelerating issue resolution.
A scalable way to automate, segment and classify documents
Learn how AI-driven document segmentation automates classification, reconstruction and processing of complex multi-document enterprise files.
The AI-ready Center of Excellence
Discover why AI workplace programs stall and how an AI-ready Center of Excellence with the right governance, ownership and operating model helps organizations scale AI successfully.
AI-Defined Vehicles: The Next Evolution Beyond SDV
Explores how AI-defined vehicles enable adaptive intelligence, continuous evolution, and new revenue models, redefining automotive experience and lifecycle value beyond traditional SDVs.
Unified GenAI framework for automated testing and visual screen validation
Explore how a unified GenAI framework enables scriptless test automation and accurate visual validation for complex external devices.
Design-for-Testability in the AI era
Discover why Design-for-Testability is becoming a strategic imperative to ensure reliability, scalability and trust in AI-driven semiconductor systems.
Responsible AI Playbook: Build trustworthy AI at scale
A practical guide to designing, deploying and governing AI responsibly, covering risk, compliance, and best practices for ML, GenAI and Agentic AI across the lifecycle.
From content libraries to personalized, monetized and insight driven streaming platforms
As OTT competition intensifies, AI is emerging as the engine of personalization, churn reduction and sustainable revenue growth.
Artificial neural networks for nonlinear classification
Understand how artificial neural networks (ANNs) solve non-linearly separable classification problems through a practical XOR case study.
Visual intelligence for robust UI automation
Discover how visual intelligence enables resilient, scalable UI automation by overcoming locator fragility in modern, dynamic interfaces.
Shift to autonomous, compliant systems built for real-world clinical complexity
Agentic AI is emerging as the next step—purpose-built, goal-oriented systems designed to operate within clinical and regulatory boundaries while delivering real-time outcomes.
