Here is how you can leverage IOT to digitize your Supply Chain?

SYDNEY BELLAMY | May 22, 2019

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Supply Chain is a cluster of independent units in an organization including, analytics, production, sales, marketing, logistics, warehousing and transport that work together to achieve a common goal of supplying a finished product to the end consumer.In an ideal scenario, these departments work coherently to achieve a single point mission and deliver on said results in a pre-defined time frame. However, most of the times, processes and legacy systems are far from perfect. They often lack a common connect between said units causing costly deviations in resource management, workforce management, tracking, customer service, and service delivery. With legacy systems, there is no common chord that connects the flow of the product raw material to production. They do not justify the cost involved, the authenticity of the product, or any other specifics promised by the marketing team.

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Ponoland New Zealand Limited

Ponoland New Zealand/Kebai Sciences Inc. is the global leading manufacturer of specialized agricultural IoT (Internet of Things) technology sensors. Our most advanced wireless sensor network and IoT solution which been used in more than 30 countries, with a complete range from on-line data collecting of crop growth environment, data processing by digital models on clouds platform, wireless automation systems for irrigation and greenhouse control.

OTHER ARTICLES

What Is CBRS and How Does It Help IoT?

Article | February 26, 2020

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Which IoT Applications will Benefit Most from Edge Computing?

Article | February 26, 2020

Edge computing refers to information being processed at the edge of the network, rather than being sent to a central cloud server. The benefits of edge computing include reduced latency, reduced costs, increased security and increased business efficiency. Transferring data from the edge of a network takes time, particularly if the data is being collected in a remote location. While the transfer may usually take less than a second, glitches in the network or an unreliable connection may increase the time required. For some IoT applications, for example, self-driving cars, even a second may be too long. Imagine a security camera that’s monitoring an empty hallway. There’s no need to send hours of large video files of an empty hallway to a cloud server (where you will need to pay to store them). With edge computing, the video could be sent to the cloud only if there is movement detected in the hallway.

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Arm Unveils AI, ML Chips for IoT and Edge

Article | February 26, 2020

Arm wants to help IoT and other embedded devices to think for themselves. Today the company unveiled two chips designed to eliminate the reliance on cloud-based artificial intelligence (AI) by delivering machine learning (ML) capabilities right on the device.“Enabling AI everywhere requires device makers and developers to deliver machine learning locally on billions and ultimately trillions of devices,” said Dipti Vachani, SVP and general manager of Arm’s automotive and IoT line of business, in a statement. The Cortex-M55 processor is the company’s first to leverage the Armv8.1-M architecture and features Arm’s Helium vector processing technology, which is designed with ML and digital signal processing in mind.

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The Rise of the AIoT

Article | February 26, 2020

Artificial intelligence (AI) has existed in the public consciousness for decades. The (mostly) sentient machines playing the villains in Hollywood movies have never been realistic depictions of the technology, but they have left an impression, nonetheless. AI has proved as exciting to the layman as it is to the expert. Usually based in remote data centers, AI is capable of collecting and examining immense volumes of data, generating insights based on analytical algorithms. With varying degrees of autonomy, these capabilities have been put to use streamlining decision-making processes. While AI is often thought of as a product in its own right, it is increasingly intersecting with other parallel trends. Chief among these is the Internet of things (IoT), which enables previously isolated machines to “talk” to one another and, at the same time, generate data that makes new modes of operation a possibility.

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Spotlight

Ponoland New Zealand Limited

Ponoland New Zealand/Kebai Sciences Inc. is the global leading manufacturer of specialized agricultural IoT (Internet of Things) technology sensors. Our most advanced wireless sensor network and IoT solution which been used in more than 30 countries, with a complete range from on-line data collecting of crop growth environment, data processing by digital models on clouds platform, wireless automation systems for irrigation and greenhouse control.

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