As a result of the massive work-from-home trend, both consumers and service providers are at an inflection point with respect to digital self-service. In order to remedy this, a new AI-based offering from a company named Sweepr has been introduced. Sweepr’s cloud-based platform enables service providers and connected device manufacturers to immediately respond to support requests by using data analytics, natural-language processing, and machine-learning techniques. It then combines information from home networks, connected devices, and service diagnostics to build context for a user’s problem. The article that follows does an excellent job of explaining both the dynamics and the details of why this solution is so compelling.
The worldwide Covid-19 pandemic turned businesses on its head, shutting many down completely and forcing others to scramble to create home-office working environments. The rapid movement to equip employees to work remotely may have saved many businesses, but it also presented many hurdles that companies had to overcome.
Being able to work from home is expected to save U.S. employers more than $30 billion a day in what would have otherwise been lost productivity during office closures, according to Global Workplace Analytics. However, even those organizations that were fortunate enough to be able to adjust to a remote employee model have seen their share of bumps in the road. This is especially true as it relates to solving IT and broadband connectivity issues to ensure their remote employees are productive.
In fact, 58% of consumers that had to work remotely because of Covid-19 said they could not connect to the internet, while 59% said they experienced slow broadband speeds, according to startup Sweepr, who recently surveyed 600 consumers across the U.S. and U.K. Additionally, 27% said they had a router/modem issue, and nearly 20% could not connect to a service such as Netflix over a recent 60-day period.
Read the full story on IoT Times