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Network Infrastructure Magazine | Thursday, October 27, 2022
Companies that take proactive measures to handle the risks, privacy concerns, and security issues associated with AI saw enhanced results from their AI projects.
FREMONT, CA: IT executives must look beyond cost savings to new forms of operational excellence and seek technologies that can assist them in optimizing resilience, scaling industry-specific solutions and product delivery, and pioneering new forms of engagement. These consist of different types of wireless, artificial intelligence, and sustainability, and external events are making it increasingly difficult for IT professionals to make decisions regarding them. Managing the network in an organization becomes an important task. Executives in charge of information technology must prioritize the acceleration of digital transformation and assess the potential applications of technologies.
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5G and Wi-Fi 6 and 7: Organizations will utilize several wireless solutions to support a variety of contexts, including Wi-Fi in the office, services for mobile devices, low-power protocols, and radio connectivity. There will be a spectrum of enterprise solutions, including 4G, 5G, LTE, WIFI 5, 6, and 7, which will provide new data. Organizations can utilize it for analytics, and low-power systems will harvest energy directly from the network. It indicates that the network will become a direct source of corporate value. As wireless networks evolve beyond simple connectivity, they will incorporate analysis to provide insight.
The rise of Superapps: The Superapps, a new sort of platform that integrates the capabilities of several apps and services into a single ecosystem, will be increasingly adopted by organizations. For instance, with platforms including WeChat, AliPay, and Gojek, superapps have made global waves. Although most examples of superapps are mobile apps, the concept may also apply to desktop client programs such as Microsoft Teams and Slack. A superapp can consolidate and replace many apps for customer or employee use.
Cloud platforms: Large industry-specific cloud platforms, similar to superapps, offer a combination of the platform as a service (PaaS), software as a service (SaaS), and infrastructure as a service (IaaS) to serve unique industry use cases. These packaged skills can use to differentiate digital-business activities, deliver agility and innovation, and reduce enterprise time-to-market. Organizations would employ industry-specific cloud platforms to advance their activities.
Adaptive AI: AI is a crucial technology in the past, but a new trend has emerged, that is, adaptive AI systems that continuously retrain their intelligence models. These modules can adapt rapidly to unanticipated real-world scenarios by learning in runtime and application-development contexts depending on new data. Today, an organization with a SaaS application or new release can update the software to keep things running, but it can't do that with AI because it learns on the fly. AI applications use real-time input to modify their learning and goals dynamically.
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