Four Weekly Tech Newsletter – Oct 21
Lead articles from October 21
The perfect storm: 5G, IoT and AI
Our society stands to be transformed by the combination of 3 technologies, contributing to a “perfect storm”. The application of these technologies could create untold opportunity or see competition stifled and monopolies strengthened. It’s uncomfortable to think that soon we may not be able to tell the difference between a machine and a person.
How is Big Data analytics using machine learning?
It’s becoming a challenge for big businesses to use their data in the most efficient way. But data is a boon for machine learning systems. The more data a system receives, the more it learns to function better. Hence, using machine learning for big data analytics happens to be a logical step for companies to maximize the potential of big data adoption.
Global spend on cloud services to surpass $1 trillion by 2024
The COVID-19 pandemic has largely proven to be an accelerator of cloud adoption and extension and will continue to drive a faster conversion to cloud-centric IT. According to IDC, total global spending on cloud services, the hardware and software components underpinning cloud services, and the professional opportunities around cloud services will surpass $1 trillion in 2024.
How AI can train workers for the jobs of the future
The rise of AI in the workplace has the potential to improve some aspects of work – such as repetitive and dangerous tasks – but much of the public discussion has focused on AI’s potential to displace workers and the grave impacts this could pose to their livelihoods and quality of life. Less discussed – but equally important – is how AI can also be part of the solution to train, upskill, and reskill employees, future-proofing and preparing them for the future of work.
Six ways machine learning threatens social justice
When you harness the potential of machine learning, there are also some drastic downsides you’ve got to manage. Deploying machine learning, you face the risk that it be discriminatory, biased, inequitable, exploitative, or opaque. In this article, I cover six ways that machine learning threatens social justice and reach an incisive conclusion: the remedy is to take on machine learning standardization as a form of social activism.
IoT device takeovers surge 100 percent in 2020
The COVID-19 pandemic, coupled with an explosion in the number of connected devices, has led to a swelling in IoT infections on wireless networks. Connected cameras, refrigerators and other seemingly-mundane IoT devices are a cybercriminal favorite this year, with new research showing a 100% increase in IoT infections observed on wireless networks. IoT devices are now responsible for 32.72 percent of all infections observed in mobile and Wi-Fi networks.