Bob Tilling, VP global sales, Kallik, explains why medical device companies will have to embrace the digital world that lies ahead. Against this backdrop, medical device organisations have had to prepare themselves for compliance deadlines and adapt to new technologies. Looking ahead the busy period doesn't appear to be going away anytime soon. From this month, I expect to see a sharp rise in organisations feeling the pressure of the looming IVDR deadline in May 2022. Here, technology will again prove its worth, and it will be on standby to lend a digital hand to businesses yet to make progress towards reaching compliance.

Around 2017, demand for microtasking crowdwork changed quickly and significantly, both in quantity and quality. Florian Alexander Schmidt tried to figure out, among other things, whether this was "a short-lived phenomenon or [something offering] long-term economic prospects for crowdworkers". This post is my own summary of the resulting report, titled "Crowdsourced Production of AI Training Data" and published in February 2019. What caused the sudden change in the demand for microtasking crowdwork was the equally sudden need of lots of high quality training data for autonomous vehicles. Those data are fed to the so-called self-learning algorithms that "drive" self-driving cars.

Artificial intelligence (AI) is a popular topic of debate across industries worldwide. For many, the possibility of leveraging AI is a positive way to make businesses more productive and efficient, while offering more sophisticated customer offerings. However, others view the rise of AI and automation with more caution, particularly in regards to jobs losses. The fact is that AI will fundamentally shift the way organisations operate, from top to bottom, as well as alter the very definition of both jobs and tasks -- for the better. Australian industries are entering an era where those who do not embrace automation will be left behind.

The news of an'armchair' robot dishing out an article in lightening speed in China has stunned an already smothered Indian print media, currently reeling under layoffs and ad revenue cut. History was made when the robot Xiao Nan reportedly typed a 300 characters-long article in just a second, which was eventually published in the Guangzhou-based Southern Metropolis Daily. Interestingly, it has a much stronger capacity for data analysis and is quick to write articles much faster than editors can ever think. Editors are ecstatic at the news as all kinds of reporters, including'pressitutes' and hardcore nationalist types, are just a switch away. But what makes them gloom is the realisation that a robot editor is getting ready in the Chinese backyard.