Council Post: Living on the Edge – The Marvels of AI & ML

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.
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
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Picture of Maharaj Mukherjee
Maharaj Mukherjee
Maharaj Mukherjee is a Master Inventor from IBM has a PhD in Computer and Systems Engineering from the Rensselaer Polytechnic Institute. Maharaj has been working for the Bank of America in the Global Technology organization for past five years working in areas of natural and formal language translation, transliteration, transpilation and Digital Twins related to edge computing, metaverse, and Internet of Things.
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