He offered up some real-world examples. “Applicable use cases of AI would include pattern recognition and then detecting exceptions or trends. In a home care case, this might be detecting a trend that Mum is getting up progressively earlier by a few minutes each week - this could spark a conversation with the doctor and Mum about what this means - is it related to bladder function, that she needs to get up progressively earlier.
“Alternatively, it could be that Mum always makes her tea between 7:30am and 7:40 am - the system has detected that the fridge door opens at this time each morning. I might get an alert to say it's 7:45 and Mum hasn't opened the fridge door, alerting me to give her a call and ask how she's going,” he said.
“Opening or closing doors and managing behaviours of dementia residents might also be a good case for AI. Machines can learn patterns and allow us to manage particular behaviours, such as getting up in the night or wandering into the wrong room.”
Over at Bupa ANZ, Syed Ahmed, head of digital products and operations, said proper AI is when the software can move beyond simple pattern matching and regression analysis-based prediction to autonomous decision-making in open, unpredictable and ambiguous systems.
Asked some of the applicable use cases of AI in business, Ahmed said it revolves around analysis and advisory.
“Within the current legislative and socially acceptable frameworks, most use cases of AI in business relate to assistive analysis and advisory. Examples of this are financial portfolio optimisation, financial fraud prediction, and medical diagnosis.”
Meanwhile, over at DHL Supply Chain, AI is an extension to robotic process automation (RPA), according to Kasi Kolla, global leader in outsourcing infrastructure, ITSM and cloud strategy.
Kolla said AI promises to give machines flexibility to learn and evolve to help humans.
“In my opinion, in the next few years humans in most positions in the world of work will be nearly 100 per cent replaced by or partnered with smart software and robots (AI).”
Over at JLL, a global real estate services firm specialising in commercial property and investment management, AI is process automation or efficiency undertaken by machines in replacement of human interaction, according to regional director of integrated portfolio services, Jordan Berryman.
“AI in business is utilised for repetitive action roles, trend analysis or cognitive matching, At JLL and in reference to our clients that we assist, AI is employed from a range of roles including our robotic receptionist ‘JiLL’, trend analysis from data analytics and forecasting, to environment and security control of buildings and automation of supply chain functions,” Berryman said.
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