Nanoprecise Sci Corp., a leader in energy-centric predictive maintenance, announced the appointment of Kevin Clark as its new Chief Evangelist. Clark brings over two decades of experience in technology, industrial innovation, and AI, bolstering Nanoprecise’s growth and market outreach.
The global automotive AI market is projected to reach a value of US$ 13.0 billion by 2034, driven by the rise of autonomous vehicles, connected car technology, and edge computing. Leading players like NVIDIA, Intel, and Waymo are spearheading innovation in areas such as autonomous driving, vehicle connectivity, and predictive maintenance. Key growth drivers include increasing demand for safety and performance, collaborations between automakers and tech companies, and government support for AI research.
AI has revolutionized manufacturing by empowering companies with data-driven insights to optimize processes, predict maintenance needs, and drive innovation. From enhanced quality assurance to personalized product designs, manufacturers are leveraging AI-powered analytics to gain a competitive edge in the ever-evolving market. This article explores smart strategies and insights from industry experts on how to effectively harness AI for improved efficiency, safety, cost savings, and more.
The Industrial Sensors Market is experiencing significant growth due to the integration of Internet of Things (IIoT) technology in factories. Real-time data collection from various sensors, including level sensors, pressure sensors, image sensors, and condition monitoring sensors, is crucial for transparency, efficiency, and profitability in industrial operations. Legacy machinery is being upgraded with advanced sensors to enhance performance and ensure machine uptime. Wireless autonomous sensors enable real-time data collection on manufacturing floors preventing facility stoppages and false detection.
