Networking and Communications
Rise of the machines
Alan Hayward, sales and marketing manager at SEH Technology takes a look at what the rest of 2023 has in store for networking.
N
etworking technologies have developed significantly, with the rise of artificial intelligence, the Internet of Tings (IoT)
and the value of edge computing transforming the vision of the networking future, with each of these technologies holding the possibility of creating an extensive impact on people, business and the networking industry. End users have never had so much information and computing power at their fingertips and networking technologies are today accelerating that reality, networks are the data highways of today’s digital world. Emerging technologies create an unlimited
number of potential pathways for businesses to explore, creating a wealth of opportunities but also vulnerabilities for their future. Tese areas exist amidst a flux of wider technological evolution, developing alongside business, people and the wider society, adding enormous value to the IT channel, as the range of available technologies continues to grow.
The future of AI Artificial Intelligence (AI) has experienced tremendous growth in recent years, ushering in a new era of digital possibility, as one of the biggest commercial opportunities available today. As AI continues to mature, it is set to amplify its value for people and businesses internationally. Tis dynamic progression holds the power to propel organisations at an exponential speed by making them more productive and creative, redefining the power of data and
26 | November/December 2023
technology as enabling solutions. AI adoption in businesses has soared, with
IBM reporting that 35% of companies globally have reported using AI in their business, with an additional 42% reporting that they are actively exploring use cases of the technology going forward. One of the fastest-rising elements of AI is machine learning.
The rise of machine learning Machine learning is a branch of artificial intelligence that enables computers to learn from data through the use of algorithms and large data sets. Te technology provides the ability to analyse past information, integrating past lessons learnt to drive
forward streamlined efficiency and productivity. Te global machine learning market size has increased from $19.20 billion USD in 2022 to 26.03 billion in 2023, highlighting the tremendous value that it holds. As these algorithms continue to mature, their value increases in tandem, presenting real opportunities for the future to better leverage data. By harnessing the advantages of machine learning, channel
partners can process vast volumes of data at rapid speeds. Tis allows them to identify and take action on trends and patterns in data sets, streamlining operational workflows and allowing the organisations to capitalise on any short-term changes in the market, helping them become far more competitive and efficient, at a time when their competitors will also be looking for such solutions.
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