5 Strategic Technology Trends for 2020

trends in digital 2020

Hyper-automation, blockchain, AI safety, distributed autonomous and cloud entities drive disruption and create chances in this year’s tactical technology trends.   Human enhancement conjures up visions of futuristic cyborgs, but people have been augmenting parts of the body for centuries. Even laser eye surgery is becoming commonplace. But what if scientists can expand the mind to boost memory storage or implant a chip to decode neural patterns?   Imagine if doctors could implant sensors to monitor how drugs travel within a body? 

Technology is currently on the cusp of moving beyond augmentation that replaces a human ability and into development that produces superhuman capabilities. How these changes will affect the entire world and company makes human augmentation among the five strategic technology trends that will drive substantial disruption and opportunity during the next five to ten years. The tendencies structured around the notion of “people-centric smart spaces,” means considering how these technologies will influence individuals (i.e., clients, employees) and the areas they live in (i.e., home, workplace, car). These trends do not exist in isolation; IT leaders should decide what mix of these trends will drive the most strategy and innovation.  Subsequently, these technologies combinations enable further democratisation of this technology.  

Automation utilises technology to automate tasks that once required people. Hyper-automation deals with the use of innovative technologies, including artificial intelligence and machine learning, to increasingly automate procedures and fortify humans.  Hyper-automation extends across a selection of tools which may be automated, but also indicates the sophistication of this automation (i.e., detect, analyse, design, automate, measure, track, reassess.) Although not the primary goal, hyper-automation often contributes to the creation of a digital twin of their organisation (DTO), enabling organisations to picture the functions, processes and key performance indicators interact to drive value.  The DTO subsequently becomes an essential component of the hyper-automation procedure, providing real-time, continuous intelligence about the business and driving substantial business opportunities. 

Multi-experience replaces technology-literate individuals with people-literate technology.  Within this trend, the conventional notion of a computer evolves from one point of interaction to add multisensory and multi-touchpoint interfaces such as wearables and innovative computer detectors. Ultimately, this trend will become what is known as an ambient experience. Still, now multi-experience focuses on immersive experiences using augmented reality (AR), virtual (VR), mixed reality, multichannel human-machine ports and sensing technologies.  The combination of these technologies may be used to get a natural AR overlay or a fully immersive VR experience. It focuses on four essential areas — program development, data and analytics, knowledge and design.

Democratisation would allow developers to create data units with no skills of a data scientist.  They would instead rely on AI-driven development to generate code and automate testing. 

Human augmentation is using technology to improve an individual’s cognitive and bodily experiences. Physical augmentation changes an inherent physical capacity by hosting or putting a tech within or around the body, like the mining or automotive industries using wearables to increase worker safety.  In other sectors, such as retail and travel, wearables are utilised to boost worker productivity. AI and ML are using to make decisions in place of people. Cognitive enhancement enriches a human’s ability to think and make better choices, by way of instance, exploiting information and software to improve new or learning experiences.  Cognitive augmentation also contains some technology in the mind augmentation category since they are physical implants which handle cognitive reasoning. Human augmentation carries a range of cultural and ethical consequences. As customers become more aware of how their information has been collected and used, organisations are also recognising the increasing liability of storing and managing the data.

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