AI to come with a personal touch

 Tracy Tsai, vice president of research personal technologies at Gartner, said at the Computex 2018 Forum that in the future, the digital age will move towards the level of Digital Human Centric, which characterises a person-centric operation.
“By 2020, at least 40 per cent of people will interact primarily with people-literate technologies, removing much of the perceived need to invest further in improving computer literacy,” Tsai said.
She said that by that year, 95 per cent of video and image content will never be viewed by humans. Instead, it will be vetted by machines that can provide some degree of automated analysis. 
Tsai said that from now until 2020, organisations using cognitive ergonomics and system design in new AI project will achieve long-term success at rates four times more often than others. 
“AI will become a positive net job motivator, creating 2.3 million jobs, while eliminating 1.8 million jobs,” she said.
“In 2021, AI argumentation will generate US$2.9 trillion in business value and recover 6.2 billion hours of workers’ productivity.” 
Gartner believes that what it calls the AI Hype cycle is at very early maturity levels. 
“Around 86 per cent of tech profiles (dots) are headed to the bottom and troughs of disillusionment, 54 per cent are not expected to plateau and deliver reliable productivity for mainstream buyers until 2022 or later. Meanwhile, 44 per cent offer high benefits and 41 per cent offer transformation benefits,” Tsai said. 
She said that AI can create business value in improving operational efficiency and quality, improving customers’ experience and creating new business models and revenue sources. 
For the improvements in operation efficiency and quality, AI can used for call centres, conversation chatbots, virtual payment addresses (VPA) and video virtual agent for unmanned banks. 
Tsai said that AI in manufacturing is still at an experimental stage. “Business will be able to provide high quality and value with high efficiency such as predictive maintenance, quality control, demand forecasts, inventory management, precision processing fixed location identification as well as logistics and warehousing operation efficiency,” she said.
For improved customer experience, AI can provide customers relationship management (CRM) that contextualises users' profiles with natural language processing (NLP).
 Raymond Teh, vice president for Asia Pacific at Nvidia, said that AI is being applied in every industry, such as for autonomous vehicles. The firm provides a drive end-to-end platform, which is an open platform that comes with the capability for collecting and processing data, train models, emulation as part of its support for the automotive industry.
Daniel Tse, product manager for medical imaging for Google AI at Google, said that Google has a mission to make the benefits of AI available to everyone. The firm is providing developers and businesses with AI tools.