As the Internet of Things (IoT) surges, edge computing emerges as a pivotal solution, redefining connectivity by situating IT resources and applications at the network periphery. By sidestepping reliance on constant internet access, edge computing expands technological accessibility, promising widespread benefits. Incorporating machine learning, edge computing typically employs compact models, facilitating swift and cost-effective training. The absence of hefty backend server maintenance fosters a surge in interest among researchers and engineers, leading to innovative efficiency enhancements, unveiling new practices, and methodologies in this vibrant domain.
AI and machine learning (ML) are transforming industries and driving innovation, but they face several challenges in progress on
Council Post: Living on the Edge – The Marvels of AI & ML
- By Maharaj Mukherjee
- Published on
As the market for edge computing continues to grow, we can expect to see more businesses adopting this technology and leveraging its benefits to drive success in various industries.
