We live in an exciting era where technology is constantly changing the way we live. What was once believed to be limited to Tony Stark’s prowess is now an emerging everyday reality.
Take Gen AI, for example. Once positioned as a landmark technological breakthrough, generative AI is now an increasingly important part of everyday applications. Or using wind energy to generate power. This technology, once thought dangerous to wildlife, powered about 6.9% of the world in 2024, according to statistics collated by The Round Up. Technological breakthroughs have become everyday features, becoming more frequent and sophisticated.
Because change is the only constant in this dynamic space, it’s easy to look ahead at the next ten years and expect the next wave of disruption. Bringing a fresh perspective to technology, this article explores the four trends poised to shape the next 10 years.
1. Hyperautomation
Businesses have already started embracing automation through ERP software upgrades, cutting down on manual processes across as many areas of the organisation as possible. Hyperautomation pushes this further, combining AI, machine learning, low-code tools, and even robotic process automation to reduce human involvement.
But are automation and hyperautomation the same? Or are there any differences?
Automation occurs on a smaller scale and focuses on streamlining individual tasks, hyperautomation relies on multiple tools and technologies to modernise processes across an organisation. One example of hyperautomation can be seen in healthcare organisations, where automation tools can manage drug inventory, schedule staff, and collate data to build accurate treatment plans.
2. AI Emotional Support Pets
AI emotional support pets are hitting the market as people battle loneliness in an increasingly digitally connected world. From Moflin to Tombot, these “pets” mimic the behaviour of real pets, using advanced AI to create emotional interactions and lifelike behaviours. Some are designed as support animals to provide companionship and emotional support to people facing health challenges.
Most can recognise voices, respond to gestures and petting, and follow their owners with life-like eyes. Some can even understand their owners’ moods. Designed using advanced robotics and AI, these pets provide company and comfort for those who may not be able to have a real pet.
The demographic that can most benefit from AI pet companions includes individuals in care facilities who long for a pet but cannot manage the physical demands of caring for a real pet. They can also double up as a therapeutic option, including those looking to manage anxiety.
3. Brain-Computer Interface
Decades ago, talking about human-machine integration would have been unheard of, limited to the plots of sci-fi books and movies. But technology has advanced to the point that it’s a very real possibility.
It’s now possible to create a brain-computer interface (BCI) that acts as a bridge between the brain and a computer or a digital device. BCIs, also known as brain-machine interfaces, can interpret signals from the brain and translate them so the device can take appropriate action. They are designed to research, map, assist, repair, or augment human cognitive or sensory-motor functions.
Think of it as the brain and machine working together as a single unit rather than separate systems. Currently, BCIs are being tested and used in research and in specialised medical applications, including healthcare (neuroprosthetics application) and communication (allowing those with severe disabilities to communicate thoughts).
4. Digital Twins
The latest technological advancement that extends the power of the Internet of Things (IoT) is digital twins. A digital twin of a device or system works like a virtual model, mapping data and interactions to create a fully functional replica of the system or device on a digital medium.
The device has sensors to collect data on its operation and transfer that information to the digital copy. This helps monitor its performance, run simulations, and identify areas for improvement.
A good example of digital twin technology is in the automobile sector. As cars become integrated with IoT and digital technology, it’s possible to replicate system behaviour and performance characteristics. With digital twins, engineers can more easily predict machine performance. It’s possible to track the lifecycle of autonomous vehicles from the day of creation to the end of life. It can be easier to test safety features digitally without any need for a physical vehicle to test changes. Moreover, smart car producers can test self-driving AI in a digital environment.
Wrapping Up
These are just a few of the many tech trends poised to dominate the upcoming decade. From hyperautomation to AI-powered pets, there’s no shortage of emerging technologies for people and businesses to invest in. All these trends present an exciting next few years for any individual or organisation looking to embrace the latest technology for improving their personal or business outcomes.
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