ON DEMAND WEBINAR
Duration: 34 minutes

As AI reshapes product design and manufacturing, engineering workflows are becoming increasingly complex and non-linear. Designers, engineers, and IT teams must navigate a growing mix of local workstations, cloud resources, AI services, simulation environments, and collaboration platforms, often balancing performance, latency, security, cost, and user productivity at every stage. At the same time, emerging AI-powered tools are creating new opportunities to accelerate design, visualisation, simulation, and decision-making, while introducing new challenges around where workloads should run.

AI is reshaping how products are designed, engineered, and brought to market. As AI-powered applications become embedded across design, simulation, visualisation, and collaboration workflows, Product Design & Manufacturing (PD&M) teams are operating in increasingly dynamic and non-linear environments. Workflows now span local workstations, cloud resources, AI services, and distributed teams, creating new challenges around performance, security, latency, cost, and productivity.

In this webinar, HP and Intel experts talk about how engineering organisations can navigate this new reality by optimising workloads across local, hybrid, and cloud environments. Learn how emerging AI workflows are changing compute requirements, discover practical frameworks for determining where workloads should run, and gain insights into balancing user experience, data security, scalability, and operational efficiency. Through real-world PD&M examples, attendees will gain actionable recommendations for building more agile, AI-ready product development workflows that help teams innovate faster, reduce complexity, and accelerate time to market.

SPEAKERS

Jamie Gwilliam
Worldwide Workstation Industries & User Segments Lead
Intel
 

Ken Denton
Global Segment Lead PD&M / AEC
HP