The car industry is evolving with the integration of agentic artificial intelligence (AI) in intelligent vehicles, revolutionizing the car manufacturing process through data-driven design and ...

Its use results in faster development, cleaner testbenches, and a modern software-oriented approach to validating FPGA and ASIC designs without replacing your existing simulator.

BUFFALO, N.Y. – Companies face unprecedented challenges in the current economy: rising costs, directives to minimize waste and toxicity, and difficulty with leveraging data to effectively inform ...

Product lifecycle management (PLM) is undergoing major changes as artificial intelligence evolves from experimental technology to operational necessity. Traditional PLM systems were developed on ...

AI-powered design tools are now fundamental, enabling faster iterations, optimized configurations and system-level insights. Mastering simulation platforms and digital twins allows for virtual ...

The rise of software as a service (SaaS) models has transformed the way businesses operate today. With its scalable, subscription-based model, SaaS offers unprecedented flexibility and efficiency. As ...

Data centers and high-performance computing (HPC) are the primary enablers of today’s power-hungry AI-driven technology, but chip designers, EDA vendors, and the data centers themselves have a long ...

By applying the firm's structured methodology, data and IT leaders can design operating models that accelerate value delivery, strengthen collaboration, and provide the foundation needed to scale AI, ...

Expanded capabilities help enterprises design custom cybersecurity platforms, automate threat detection, and strengthen software defenses using advanced AI and secure development practices.

When leaders say they want to be a data-driven organization, a key objective is empowering business people to use data, predictive models, generative AI capabilities, and data visualizations to ...