The healthcare industry produces and gathers a huge amount of data and this data has the potential to be used in predictive analytics modelling to help improve and forecast the demand on healthcare services. There are many ways in which predictive analytics could be used. Some companies are looking at forecasting hospital readmissions and others looking at predicting specific patient illnesses before they become serious. 

On June 10, 2019, the Government Digital Service, also known as GDS, unveiled a policy paper titled "The Government technology Innovation Strategy".  Split into 3 sections; people, process, data and technology.

"The current wave of advances in artificial intelligence doesn’t actually bring us intelligence but instead a critical component of intelligence:- prediction."

Kaggle is an online community of data scientists and machine learners, owned by Google LLC. It offers an environment where users can find and publish datasets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitors to solve data science challenges.

Artificial Intelligence In Healthcare

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 digitise 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 standardised, highly fragmented and is stored in incompatible legacy platforms. The technology exists, so why is healthcare so far behind other sectors in utilising existing technology and what needs to be done to catch up?

Big Data has many wonderful opportunities, some a little advanced for our current infrastructure but may become an everyday reality in a few years. Think of driverless cars or augmented and mixed reality, we are starting to embrace these new concepts but will be another 10 years before they really 'take over the world'. One opportunity that we see disseminating across the world is the use of data for 'Smart Cities'.

Working within the technology industry there are some buzzwords which come up over and over again, current one being 'Artificial Intelligence'. 

Before Obama's election as President he promised many things to the citizens of America, one being that if elected, his government would;

What is Data?

Data is one of the most talked about subjects at the moment alongside Big Data, AI and Robots, but what exactly is it? The Oxford dictionary defines it as ‘facts and statistics collected together for reference or analysis’.  Every time you enter your details into an application form, social media network or membership subscription, your information is collected. It allows other parties to make more strategic decisions when planning objectives around marketing, hiring, product, finance and engineering. Data has been collected for years however, 90% of current data has been created in the last two years with Forbes suggesting there are 2.5 quintillion bytes of data created each day at our current pace (roughly 100 million blu-ray discs). So what has this got to do with Open Government Data?

In the Digital Age, the Private sector is investing in some of the best analytic tools to gain deeper insights to make better decisions. When we fail to interpret the data, the consequences can be detrimental.