We are on the verge of several major technology shifts converging to disrupt everything tech as we know it today.

Cloud to edge Check out this amazing talk by Peter Levine called “The End of Cloud Computing.” He highlights the fact that computations are moving from the cloud to the edge of the networks. Content Continues Below Download this free guide New Trend in IoT: Digital Twin Tech Digital twin tech, or a virtual representation of a product, is a critical concept in IoT that’s still being sorted out. Explore its benefits to IoT, 7 use cases and why it’s important for manufacturing’s future. Start Download Corporate E-mail Address: You forgot to provide an Email Address. This email address doesn’t appear to be valid. This email address is already registered. Please login. You have exceeded the maximum character limit. Please provide a Corporate E-mail Address.

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By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. Companies have been embracing cloud computing for nearly a decade, but it’s currently being disrupted by the IoT phenomenon. Analysts are predicting that there will be 75 billion internet-connected devices by 2025. The cloud was not designed for massive sensor data uploads, nor was it designed for low-latency, real-time communications. This is the catalyst for all IoT platform vendors racing to release edge computing gateways and appliances to bring more connectivity and computing capabilities to edge networks rather than routing everything through “the cloud.”

Big data to artificial intelligence The demand for consuming and interacting with live streaming IoT data along with artificial intelligence and machine learning technologies is now driving a massive shift away from the cloud to edge computing. For example, self-driving vehicles do not have time to stream their sensor data to the cloud and wait for machine learning feedback or driving commands. These self-driving cars are essentially mobile data centers. The car’s on-board computers are analyzing sensor data in real time and learning while making control decisions in nanoseconds — no cloud involved.

Centralization to decentralization The current value of Bitcoin cryptocurrency has trickled its way into our everyday conversations. At the same time, there is a massive blockchain revolution underway along with controversial net neutrality legislation. These topics are driving the shift to decentralized computing, decentralized web and decentralized app (DApp) development.