CGNAT Isn’t a Capability It’s a Lifecycle Strategy

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With the exponential growth of subscribers and connected devices, service providers have been investing in infrastructure to support increasing traffic growth while implementing new services to attract new subscribers and increase revenue. Preparing for the Internet of Things (IoT) is also contributing to the demand on the infrastructure and the number of devices connected to the network. With the global exhaustion of free pools of IPv4 addresses and the continuing adoption of IPv6, service providers are facing new challenges in sustaining growth and business continuity.

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GyanSys Inc.

At GyanSys, we partner with our customers to transform their current business processes to the new systems of intelligence. GyanSys specializes in migrations and implementations of S/4HANA, IBP, Ariba, SuccessFactors, Hybris and PLM solutions on SAP Platform.

OTHER ARTICLES

LIVING IN A SMARTER WORLD: WHY USE AI-ENABLED IOT IN HEALTHCARE

Article | March 12, 2020

Artificial Intelligence and Internet of things are hot topics now, as a consequence, integrating AI into IoT is becoming a common practice. The healthcare system is everybody’s business, so finding one's way around is equally important for all. Yet, keeping all the details in mind is no easy task. There are limits to human mental and physical performance. Thus going beyond one’s maximum has to be relegated to such technologies as the Internet of things and Artificial Intelligence. The implementation of innovative solutions in healthcare is always a good idea and IoT together with AI are strong drivers of the digital transformation regardless of what field the technologies are applied in. Municipal infrastructure, smart homes, retailing, manufacturing, supply chain, education, healthcare and life sciences — the entire digital ecosystem, an IoT ecosystem of connected devices, has been created and is growing stronger with each passing day. Empowered with Artificial Intelligence and Machine Learning, among other things, IoT is used as a means of equipping people with intelligent assistance. Gradually, it is taking over both minor and major processes in a number of industries. Healthcare is no exception.

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IoT Adoption: Before and After COVID-19

Article | March 12, 2020

The survey data I’m referring to comes from a study conducted by the Eclipse Foundation about the adoption of commercial Internet of Things (IoT) technology. The aim of the study was to get a better understanding of the IoT industry landscape by identifying the requirements, priorities, and challenges faced by organizations deploying and using commercial IoT technologies. More than 350 respondents from multiple industries responded, with about a quarter of respondents coming from industrial production businesses. While this survey was not solely focused on the manufacturing and processing industries, its results reflect the general business community’s IoT adoption at the end of 2019. As such, it is a pre-COVID-19 snapshot of IoT adoption.

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Arm Unveils AI, ML Chips for IoT and Edge

Article | March 12, 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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Make Room For Public Clouds In Your Industrial IoT Strategy

Article | March 12, 2020

Not too long ago, executives from manufacturing and related industries would not consider running their internet of things (IoT) initiatives from a cloud. Now? It’s hard to find one who doesn’t enthusiastically embrace some role for the public cloud. Makers of industrial IoT (IIoT) software platforms have undergone a similar change of heart, pivoting from making grand plans for multibillion-dollar global data center rollouts to wholeheartedly partnering with one or more of the hyperscale public clouds. So far, so simple: Public cloud is definitely now part of the industrial IoT story. But there are a multitude of ways to use a public cloud, from just installing your own software there to fully integrating with all of the cloud, development, and IoT services that the hyperscale public cloud platforms increasingly offer. I explore this range of options in my latest report, “Hyperscale Public Clouds Power Your Industrial IoT Future,” and shall be discussing the issues in a client webinar on March 31.

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Spotlight

GyanSys Inc.

At GyanSys, we partner with our customers to transform their current business processes to the new systems of intelligence. GyanSys specializes in migrations and implementations of S/4HANA, IBP, Ariba, SuccessFactors, Hybris and PLM solutions on SAP Platform.

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