ADLINK EdgeOpen™－Envision Edge AI

In this episode, we explore why robotics adoption is accelerating now, what pain points are blocking wider deployment, and how the convergence of specialized silicon, optimized software frameworks, and modular hardware platforms is making production-grade robotics achievable. From labor shortages to geopolitical onshoring pressures, we examine the business imperatives driving investment and the technical stack required to deliver measurable ROI through metrics like intervention rate, MTBF, and throughput.

In this episode, we explore how Intel is revolutionizing healthcare technology through edge AI, integrated computing, and open ecosystems to meet the growing demands of high-resolution medical imaging, AI-driven diagnostics, and secure remote care. Join host Mamdouh (Mondo) Mikhail from ADLINK and guest Beenish Zia, Chief Architect for Medical Imaging & Lab Tools at Intel Corporation, as they dive deep into Intel’s vision for healthcare, industry megatrends, and tactical strategies for advancing scalable, secure, and cost-effective medical solutions.

In this episode, we embark on a step-by-step walkthrough for implementing Edge AI solutions in varied enterprise environments, emphasizing computer vision, gen AI, and time sensitive AI applications. Join host Mamdouh (Mondo) Mikhail from ADLINK and guest speaker Wei Yeang Toh, General Manager of the Ecosystem Development Organization from Intel’s Edge Computing Group, as they guide you through the tactical and strategic considerations of implementing Edge AI solutions, using Smart City and Healthcare applications as thought exercise.

In this episode, we explore how AI, machine learning, and edge computing are transforming defect detection in manufacturing. Our guest from AWS discusses how automated systems are improving quality control, reducing rework, and boosting efficiency. We dive into real-world examples, from AI-powered defect detection to smart cameras and IoT sensors. Together, we’ll examine the challenges, benefits, and future trends in this evolving field. Perfect for engineers, tech enthusiasts, and decision-makers looking to stay competitive in automation!

In this episode, we tackle the challenges and breakthroughs in converging Information Technology (IT) and Operational Technology (OT) in industrial environments. Our guest from NVIDIA walks us through their 3 computing domains for AI, including training, simulation with Omniverse, and edge deployment. Discover how the NVIDIA IGX platform is transforming industries by addressing data bottlenecks, boosting security, and enabling real-time decisions—reshaping the future of industrial operations.

In this episode our guest from Intel shares insights on the evolution of safety standards, market needs, and the role of functional safety in ensuring reliable operations across sectors like Robotics and Industrial Controls. Discover how safety features are integrated into processors, Intel's focus on FuSa, and emerging AI safety trends. Don't miss this opportunity to learn from industry leaders.

In this episode of our podcast, we delve into the critical topic of worker safety in manufacturing, exploring how advanced automation and artificial intelligence (AI) are revolutionizing safety protocols on the factory floor.

The technological landscape within various industries is undergoing a significant transformation with the adoption of Graphics Processing Units (GPUs) over Field-Programmable Gate Arrays (FPGAs). This shift is primarily driven by the increasing demands for higher performance in parallel computing tasks, which are essential for processing large-scale data and executing complex algorithms, particularly in AI-driven applications.

The integration of Artificial Intelligence and edge computing in the healthcare industry has opened up a whole new realm of possibilities. With the ability to process and analyze large amounts of data at the edge, healthcare professionals can now make more informed decisions in real time.

In this episode, the audience will delve into the collaborative efforts of how we cooperate with Intel our ecosystem partner, exploring how together we deliver an advanced platform for vRAN applications, which enhances flexibility and, in turn, lowers the total cost of ownership (TCO).