Arrow Electronics is reinforcing its support for customers aiming to accelerate their embedded applications with artificial intelligence (AI) and machine learning through the introduction of Arrow Edge AI engineering services. These resources include engineering consultancy, technical training, design services, ready-to-use software, and a curated selection of vendor-specific and independent tools.
“Analysts say AI will be one of the biggest technologies of the coming decade. In fact, AI algorithms are already embedded in many consumer and industrial applications and are an essential ingredient for reaching the latest performance and power efficiency targets,” said Morten Block, Marketing Director EMEA, Arrow Electronics. “Developing AI applications to run on edge computing platforms is no trivial task, so Arrow Edge AI engineering services is here to handle the challenges. With solutions for every stage of the development lifecycle, we help our customers keep their projects on track, from initial analysis and determining the right approach, to algorithm development, model training, optimisation, and deployment.”
Edge AI presents a number of opportunities for product developers to innovate, enabling the creation of cutting-edge products such as wearables, IoT gateways, smart sensors, autonomous machines, and others, for deployment across factories, cities, residences, smart buildings, agricultural settings, utility networks, and retail environments. Beyond enhancing performance and efficiency, edge AI can also improve security and mitigate reliance on continuous network connectivity.
The Arrow Edge AI engineering services portfolio encompasses a wide spectrum of edge AI applications, spanning object detection, facial recognition, industrial inspection, voice control, sound analysis, and touch sensing.
In addition to consultancy and design support, Arrow Edge AI engineering services will provide comprehensive training covering AI theory, algorithm development, modelling, software tools, and application areas like predictive maintenance. Accessible through an online portal, the service will provide learning materials, articles, and videos to aid users in accomplishing their objectives.
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