As edge devices gain greater computing power and machine learning becomes more mature, it becomes possible to infuse intelligence into edge devices. This article explores the impact that AI and ML will have on edge computing.
As businesses are adopting IoT, it is time for the embedded market to upgrade and make more IoT-friendly embedded systems. This blog will discuss how real-time operating system is capable of changing embedded systems in order to accommodate the changes in the IoT landscape.
1. What is digital transformation? Digital transformation can be described
Digital transformation is on the rise as businesses are competing
The telecommunication industry is at the forefront of the digital
With the internet and wireless technology reaching to billions now,
With the advent of the internet of things or IoT,
While the earlier decade was all about data communication and
With the increasing applications and systems moving to the cloud, the amount of load and data generated on the cloud is also increasing, making it difficult to perform analytics and extract important insights. To deal with this challenge, enterprises are leveraging edge analytics. Read on to find how edge analytics accelerates cloud analytics.
Today, the most complex problem for organizations is to pursue
eInfochips, an Arrow Electronics company, is a leading provider of digital transformation and product engineering services. eInfochips accelerates time to market for its customers with its expertise in IoT, AI/ML, security, sensors, silicon, wireless, cloud, and power. eInfochips has been recognized as a leader in Engineering R&D services by many top analysts and industry bodies, including Gartner, Zinnov, ISG, IDC, NASSCOM and others.
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