In Tune with TECHNOLOGY
THE WAY WE WORK AND INTERACT WITH OTHERS IS GOING TO CHANGE AS ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TAKES THE LEAD
We are the beginning of the Fourth Industrial Revolution. Developments in genetics, artificial intelligence, robotics, nanotechnology, 3D printing and biotechnology are happening around us. This will lay the foundation for a revolution more comprehensive and all-encompassing than anything we have ever seen. In many industries and countries, the most in-demand
occupations or specialties of today did not exist 10 or even five years ago, and the pace of change is set to accelerate. Children entering primary school today will end up working in completely new job types that don’t yet exist. In such a rapidly evolving employment landscape, the ability to anticipate and prepare for future skills requirements, job content and the aggregate effect on employment is critical for businesses, governments and individuals.
What’s driving this transition?
Four technological advances such as highspeed mobile internet, artificial intelligence, big data analytics, and cloud technology are set to dominate the next five years. The transition will require a comprehensive augmentation strategy, an approach where businesses look to utilise the automation of some job tasks to complement and enhance their human workforces’ comparative strengths to empower employees.
Communicators will get replaced by artificial intelligence
Artificial intelligence and machine learning enables systems to gain knowledge and improve their performance as you interact with them. It helps them to detect patterns and perform forecasts. Artificial intelligence (AI) will not be replacing communicators. Using algorithms enhances the capabilities of the communicators rather than replaces them; it is a partnership, not a competition. Communicators will use AI-driven design to balance their workload.
Algorithms can save the designer time and energy for making smart decisions. By using algorithm-driven design they can use a streamlined process consisting of data analysis and synthesis to create and iterate digital products. Algorithms also assist with deep data analysis, allowing communicators to focus deeply on the needs of specific users.