The term 'machine learning' is everywhere; in the media, education and local businesses. The whole field of machine learning can seem pretty overwhelming but you'll be surprised at how much we're surrounded by it.
It's hard to miss the images of plastic waste in the media, with some of the statistics and pictures being both frightening and sickening. In 2015, the annual production of plastics increased to nearly 381 million tonnes, this is roughly equivalent to the mass of two-thirds of the world population. From a study conducted in 2010, it was estimated that 8 million tonnes of plastic entered the oceans with roughly 10,000 to 100,000s tonnes of plastic in surface waters (Our World in Data).
There are few (if any) industries that can be transformed by artificial intelligence to the degree that healthcare can. As initiatives around the world seek to digitize healthcare data, there are huge opportunities for game-changing tools and platforms. However, with potentially a yottabyte (1024 gigabytes) of healthcare data in the United States alone, we are no closer to this utopian, data-driven world of healthcare. Data in existence is not standardized, highly fragmented and is stored in incompatible legacy platforms. The technology exists, so why is healthcare so far behind other sectors in utilizing existing technology and what needs to be done to catch up?
Imagine the possibility of preventing a fatal offence. This happens more commonly than the public are aware of, all thanks to technology. One example of crime prevention- in 2015, a teenager in England was taken into care after it was revealed he had been researching gun types and nearby school locations to possibly carry out a school shooting. Authorities were able to intervene as the teenager had been flagged as a vulnerable threat.
We are currently on the cusp of the fourth industrial revolution, and what an exciting time it is! The way we live, work and relate to one another is changing. The 4IR is characterised by a fusion of technologies that are blurring the lines between the physical, digital and biological spheres. With this new era comes enormous potential for automation and development; enterprises are investing in it, but is the government?