SINGAPORE, June 9, 2022 /PRNewswire/ In recent years, the industry has witnessed the migration of Machine Learning (ML) closer to the data source to create a better user experience and enhance privacy. To ease the challenges in design and development and accelerate adoption, many companies are offering development platforms, tools, libraries, and solutions for edge ML applications. As the adoption of these edge ML enablement platforms and solutions continue to grow, ABI Research, a global technology intelligence firm, is forecasting the edge ML enablement market to exceed US$5 billion by 2027. Edge ML brings a significant upgrade in user experience, privacy protection, and cost optimization for end users. In addition, popular applications such as image recognition, predictive maintenance, and speech processing augment human experts with data-driven insights. However, to create a production-ready, enterprise-grade, edge ML solution, enterprises need to invest in large amounts of skill