“AI must be safe and ethical and can benefit society as a whole”
Although artificial intelligence is still the new kid on the market in terms of corporate technology, its use is growing rapidly. From basic data entry to high value IT property protection, AI now lives at the heart of the business.
IN Awards for computer AI and machine learning honor companies and individuals who support and stimulate innovation and development in all areas of artificial intelligence.
This year’s winners were announced through an exclusive e-book with prizes on Wednesday, May 18th.
Among the finalists was the Faculty of Artificial Intelligence, which was selected as the category for the best use of AI in healthcare.
We spoke with Chris Whittleston, head of implementation at the faculty, about how their company has used AI and machine learning to succeed.
Whitleston describes the Faculty as one of Europe’s leading application AI companies, which believes that “AI should be safe and ethical and can benefit society as a whole.”
“It is these beliefs that have really led our work with over 250 organizations to use AI to help us understand their problems more deeply and make better decisions and act faster.”
According to Whittleston, the faculty is currently working to expand the implementation of its early warning system for COVID-19, an instrument supported by artificial intelligence and machine learning that was developed in collaboration with NHS England.
“This tool has been used in a variety of ways throughout the pandemic, but has recently become more widespread to support recovery and support the transition to living with Covid, allowing hospital operators to maximize their resource utilization.”
Whitleton considers the success of the faculty’s COVID-19 early warning system to be the company’s only achievement of the last 12 months.
“When we started working on it, it was very short. You know, in the middle of the pandemic, we struggled to figure out how we could support the NHS.
However, the weather of March 2020, especially last year, was really inspiring, according to Whitleton.
Regarding upcoming plans, Whitleton said he was working on expanding faculty forecasting technology to include NHS England and NHS suppliers to give them an idea of the demand coming from A&E over the next few weeks.
“And it takes external data sources along with hospital data, so things like Covid percentages, information about our public holidays and big events to help provide accurate demand forecasts and the best use of resources; they need to reduce waiting lists and increase efficiency, “he said.
To find out more teachers and what they are working on this year, watch our video interview with Whittleston now.
https://www.computing.co.uk/interview/4050013/interview-faculty-ai-machine-learning-awards-finalist
