What Technologies Will See a Higher Adoption Rate in 2020?
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What Technologies Will See a Higher Adoption Rate in 2020?

By Enterprise Networking Mag | Monday, February 10, 2020

Technology like blockchain, 5G, edge computing, automation, AI, and ML will create greater opportunities as they evolve with new use cases and applications.

Fremont, CA: Technology is evolving at a rate such that every new technology would turn out-of-date before even they spread widely across the world. They are expected to completely change the way we work, live, and socialize. This will, in turn, create newer opportunities as it evolves with new use cases and applications. Experts believe that the following technologies will see higher adoption rates in 2020.

BlockChain

Blockchain will gain more considerable significance, especially in the areas of supply chain and provenance, as they are safer than other technologies. Healthcare, mainly pharma, is investing heavily in blockchain options for clinical trial data and electronic health records. It is a ubiquitous platform for financial services, eCommerce, and other markets.

5G Network

Next comes the 5G network, which is one of the most enigmatic technologies that can impact businesses in 2020. Deployment of 5G wireless networks supporting 1,000-fold gains in capacity, connections for at least 100 billion devices, and a 10 Gb/s individual user experience of extremely low latency and response times. This high-speed network requires increased bandwidth and reduced network costs. With the deployment of 5G networks, the internet of things (IoT) and the industrial internet of things (IIoT) will grow in 2020.

Edge Computing and Automation

Edge computing and the robotic process will gain traction. OEMs and manufacturers have started utilizing the power of RPA and AI to improve product quality while increasing the production cycle. Edge computing, on the other hand, can reduce latency for critical applications that improve the speed of alerts while easing network loads.

Artificial intelligence and Machine learning

It is no wonder that in 2019, data breaches exposed credit card numbers, home addresses, and phone numbers. Organizations require technologies to help to identify threats and preventing breaches while bridging the skills gap due to a shortage of cybersecurity professionals. AI and ML can actively detect threats and other malicious attacks. Specifically, the benefits are vast when AI is used with multi-factor authentication (MFA) to provide access to the right users.

The penetration of Artificial intelligence (AI) and machine learning (ML) into cybersecurity and their extended use in collaboration technology and telepresence, and production quality will be soaring in 2020.

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