Yet as AI-powered virtual assistants become common, the speed with which they are able to accomplish tasks and return results will become key differentiators
One out of every three smartphones sold worldwide this year will use artificial intelligence (AI) to power virtual assistants, according to the latest research from Strategy Analytics. But cloud-based AI that powers virtual assistants results in slower response times, while on-device machine learning will significantly speed smartphone AI, warned the research firm.
Virtual assistants have already become common in premium tier smartphones. In 2017 already over 93% of premium tier smartphones (with a wholesale price above $300) sold worldwide have a virtual assistant integrated out-of-the-box. The penetration will expand fast to lower price tiers, mainly with the help of Google Assistant. Strategy Analytics estimated that in 2020 over 80% of the smartphones sold with a wholesale price of over $100 will have a virtual assistant integrated natively.
Ville Ukonaho, senior analyst at Strategy Analytics, said: “Google has a narrow lead in total smartphones sold with onboard virtual assistants in 2017. That lead will only grow as Android smartphone sales, with Google Assistant onboard, continue to expand into lower price tiers.”
As AI-powered virtual assistants become common across smartphones, the speed with which they are able to accomplish tasks and return results will become key differentiators. AI is at a nascent stage with lots of improvements and lessons to be learned. One of the major issues for AI powered virtual assistants right now is that very little of the actual computation that powers the assistants is done on the phone itself. According to Ukonaho, “AI is computational intensive and most of the heavy lifting is done in the cloud. This requires a solid data connection, something that isn’t always available”.
Over the last few years, since the first virtual assistants on smartphones emerged, beginning with Siri on Apple’s iPhone, most of the data processing has been done in the cloud, due to the limited processing power of smartphone CPUs. AI applications require huge amounts of data processing, even for small tasks. Until recently smartphones did not have the computational power to handle this. However, recent advances in smartphone operating systems and related software and components have brought increased processing power to the newest flagship smartphones.
Ken Hyers, director at Strategy Analytics, said that, “a number of vendors have created more advanced processing engines or are combining the power from the CPU, GPU and DSP to form a subsystem capable of handling complex machine learning and other computational AI tasks”. However, only high-end flagship smartphones will have these advanced AI processing engines and subsystems, meaning that on-board AI-powered virtual assistants will become key differentiators for premium smartphones, he noted.
Meanwhile, Neil Mawston, executive director at Strategy Analytics stated: “By combining software enhancements through machine learning and hardware enhancements in the form of AI engines, we can expect the abilities of virtual assistants to improve significantly over the next several years. This will result in increasingly responsive virtual assistants and more interactive experiences from the devices.”
