AI & DATA ANALYTICS
engines to diagnosing medical conditions .
Digging deeper into this arena , there is the subset of deep learning . This is when the layers of machine learning algorithms build up and they form complex networks mimicking the structure of the human brain . These artificial neural networks can then learn to make decisions without any additional human input .
Businesses must have their heads in the cloud All of the above technologies often require a vast amount of processing power and cloud computing - the process of delivering on-demand computing services via the internet - can contribute to that power .
Sharon Einstein , VP Analytics , Automation and AI at NICE explains : “ When it comes to AI , what has been often overlooked is the importance of cloud technology and more specifically , the need for a cloud-native open architecture to ensure AI can meet the many new possibilities in front of us . Cloud native , open architecture allows organisations to fully control costs , functionality and innovation . When AI is embedded in the core of a cloud solution , applications and processes instantly become smarter and continuously improve . For organisations to deliver next-gen customer experience , they must harness the power of AI and cloud to stay ahead .
And Steve Thorn , Executive Director at Civica believes the agile , elastic environment cloud brings , provides new tools and services for continuous innovation and gives digital twin technology as an example .
“ Take digital twin technology , which continues to move beyond manufacturing and into the merging worlds of the Internet of Things , AI and data analytics . A digital twin is a digital replica of a living , or a non-living ,
140 July 2021