Researchers and provider organisations have increasingly embraced artificial intelligence (AI) and machine learning (ML) tools to reduce and track the spread of COVID-19 and to improve their surveillance efforts. Big data analytics systems have helped health experts to stay ahead of the pandemic from predicting patient outcomes to anticipating future hotspots, resulting in more efficient care delivery. However, the level of pandemic preparation by healthcare organisations is only as good as the data available to them. Although the industry is well aware of the data issues, the COVID-19 pandemic has brought a host of unique challenges to the forefront of care delivery. Nature of the SARS-CoV-2 has led to significant gaps in COVID-19 data with inconsistencies in information, leaving officials uncertain of the effectiveness of public health interventions.

Say you have a complicated task at hand, like reading the next paragraph of this article in a language you don't know. That's certainly daunting, but you can solve it easily with the help of an expert who does know the language, thanks to clever technology that exists today. Welcome to the world of artificial intelligence (AI), machine learning and cloud computing. If you think about it, these three elements exist all around us all the time. This is, after all, a website, and those are all on the Web, which is facilitated by the Internet. Today, cloud computing powers the Internet, while also needing the Internet to function.

Cloud computing will soon be a norm for hosting software applications catering to a variety of use-cases in different verticals. Cloud Computing refers to Internet-based services that provide access to managed IT resources; these resources are managed by experts and are available on-demand on a pay-per-use model. This enables the application developers to focus on the use-case and come up with an MVP (minimum viable product) in a shorter period.

In 2016, the Go world champion lost to the AlphaGo algorithm designed by Google, and it became obvious that machine learning had successfully emerged and would contribute majorly in shaping the future.

Technology firms s are bringing automation and robotics to the age-old task of battling mosquitoes. Firms, including Microsoft, are forming partnerships with public health officials in several US states to test new high-tech tools. They are hoping their efforts will help to spread Zika and other mosquito-borne maladies worldwide. American technology companies are bringing automation and robotics to the age-old task of battling mosquitoes (pictured). Smart traps - Roughly the size of large birdhouses, these smart traps use robotics, infrared sensors, machine learning and cloud computing to help health officials keep tabs on potential disease carriers.