Making the Right Edge Software Stack Decisions
How AI, containers, and safety-critical requirements are reshaping strategy Edge teams are under pressure to modernize, but many software strategies
How AI, containers, and safety-critical requirements are reshaping strategy Edge teams are under pressure to modernize, but many software strategies
Embedded boards, modules, and integrated systems are evolving rapidly as processor innovation, edge AI workloads, and new system architectures reshape
Insights on the tools, services, and strategies enabling real-world edge AI deployment Edge AI is rapidly moving from concept to
As AI- and software-defined vehicle architectures grow more advanced, automotive organizations are rethinking how systems are designed, validated, deployed, and
As AI-driven, software-defined systems grow more complex, engineering organizations are rethinking how systems are designed, validated, and governed at scale. Model-Based
Breakthroughs in processors, connectivity, and AI are redefining performance at the edge. Edge gateways, IPCs, and embedded OT servers are
AI-generated code is accelerating modern software development, increasing the need for advanced automated testing, software composition analysis (SCA), and SBOM
The automotive industry is rapidly shifting toward software-defined vehicles, transforming how teams design, secure and deliver next-generation mobility. Software now drives differentiation, performance and security,
Autonomous technologies are accelerating across automotive, aerospace, industrial automation, and healthcare. However, with great innovation comes great risk: ensuring safety,
AI copilots are rapidly becoming the competitive edge in embedded software development. From accelerating time to market to reshaping entire