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“Given developments in IT and data science technologies, e.g. cloud platforms, self-service AI and ML, collaborative tools, it is possible for people to continue building AI solutions in a remote and distributed manner in ways that were like going into the office.

Compliance is another important issue that is ever-present beyond the mass shift to remote working, as employees now need to manage documents and customer service from home.

“Many of the challenges around working from home revolve around knowledge of key systems and processes (or lack of) and compliance risk (moving from paperless offices to the home),” said Wayne Butterfield.

Through sentiment and interaction analysis of everyday tools like email, messenger, and other collaboration applications, AI systems can provide effective means of measuring employee wellbeing and engagement, highlighting where employees need help.

By ‘hiring’ digital workers and incorporating them into a workforce, businesses can empower their staff through AI, and these invisible digital workers – or software bots – can automate mundane and repetitive tasks extremely quickly, giving their human colleagues more time to take on creative, problem-solving tasks.

By enabling digital workers to create and process invoices, human workers can spend less time on paperwork and more time working closely with the business and its customers, figuring out how to ensure employees are paid and helping the business survive.

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