StyleScan, the developer of virtual-dressing technology for the fashion industry, announced that it raised an additional $1 million in funding, bringing its total seed-round capital to $3 million. StyleScan's leadership said that this financing is propelling the expansion of its e-commerce'software as a service' (SaaS) solutions including the launch of new AI-driven products in the coming months. "With everything going increasingly digital, including fashion, online retailers need to up their game and improve the customer experience," said StyleScan Founder and CEO Larissa Posner. "StyleScan helps them do that: Our newest SaaS plugin--ModelSwitch--empowers online shoppers. It allows them to preview garments on models with a wide range of body shapes, sizes and skin-tones. This makes fashion more relatable for everyone."
This is a guest post by Mick McCluskey, the VP of Product Management at Enghouse EspialTV. Enghouse provides software solutions that power digital transformation for communications service operators. EspialTV is an Enghouse SaaS solution that transforms the delivery of TV services for these operators across Set Top Boxes (STBs), media players, and mobile devices. A large audience of consumers use TV services, and several of these groups may have disabilities that make it more difficult for them to access these services. To ensure that TV services are accessible to the broadest possible audience, we need to consider accessibility as a key element of the user experience (UX) for the service.
There is mounting public concern over the influence that AI based systems has in our society. Coalitions in all sectors are acting worldwide to resist hamful applications of AI. From indigenous people addressing the lack of reliable data, to smart city stakeholders, to students protesting the academic relationships with sex trafficker and MIT donor Jeffery Epstein, the questionable ethics and values of those heavily investing in and profiting from AI are under global scrutiny. There are biased, wrongful, and disturbing assumptions embedded in AI algorithms that could get locked in without intervention. Our best human judgment is needed to contain AI's harmful impact. Perhaps one of the greatest contributions of AI will be to make us ultimately understand how important human wisdom truly is in life on earth.
Amazon Forecast is a fully managed service that is based on the same technology used for forecasting at Amazon.com. Forecast uses machine learning (ML) to combine time series data with additional variables to build highly accurate forecasts. Forecast requires no ML experience to get started. You only need to provide historical data and any additional data that may impact forecasts. Customers are turning towards using a Software as service (SaaS) model for delivery of multi-tenant solutions.