Technology
While some consumers are warming up to retail tech, others aren’t as charmed by it—even if it results in more personalized experiences.
Earlier this month, more than 175,000 tech enthusiasts gathered at CES 2020 in Las Vegas for a preview of the world’s most exciting new products. As usual, the exhibit space was chock-full of futuristic, eye-popping innovations, including flying Hyundai Ubers, bionic robot sharks, smart pajamas and zero-gravity bathtubs. But beneath the shiny veneers and seemingly endless hype, tech companies are working quietly to address a growing problem: As AI, the internet of things (IoT) and next-generation connectivity relentlessly creep into everyday life, “tech angst” is at an all-time high.
eMarketer principal analyst Karin von Abrams and GlobalWebIndex (GWI) chief research officer Jason Mander discuss eMarketer’s ninth annual Global Media Intelligence report, a comprehensive review of traditional and digital media usage in 41 countries, based on GWI data. Focus areas include the growth of digital video, the shifting device landscape and the latest on voice assistants and smart-home devices.
eMarketer principal analyst Debra Aho Williamson and junior analyst Blake Droesch explain whether Americans want a social app geared toward close friends. Then, forecasting analyst Eric Haggstrom discusses whether the Disney+ bundle can lure sports viewers from cable, breaks down whether Waymo’s robot taxi improvements outweigh rider complaints and more.
In the latest episode of "Behind the Numbers," eMarketer principal analyst Nicole Perrin talks about presidential hopeful Elizabeth Warren's proposal for breaking up big tech.
We spoke with Grégoire Baret, general manager of omnichannel experience at shoe retailer Aldo, about how his team works in collaboration with IT to roll out a new marketing technology.
Cashierless stores, like Amazon Go, have great potential to shake up the brick-and-mortar landscape. According to GPShopper, 48% of US internet users believe scan-and-go technology would make shopping easier. And 43% would rather try scan-and-go than wait in a checkout line.
As use of AI grows (27% of executives in a PwC study have already implemented AI), so do calls for ways to interpret how AI models make decisions. This has given rise to a new buzzword: explainable AI, which refers to algorithms that make decisions humans can explain. PwC, for example, says it “integrates risk mitigation and ethical concerns into algorithms and data sets from the start.”
Last week, more than 188,000 tech enthusiasts descended upon Las Vegas for CES to get a glimpse of the latest and greatest gadgets from around the world. As far as dazzle, the show didn’t disappoint.
For many companies, it is necessary to regularly update their digital strategies in order to stay competitive. But old tech systems can make this an onerous task.
eMarketer principal analyst Victoria Petrock discusses what she learned from the 2020 Consumer Electronics Show. She then explains the significance of facial recognition bias and why paying with your hand makes sense.
There’s a lot of enthusiasm around retail and tech, particularly visual search. While not mainstream yet, more than half of US internet users said they were most excited about using the technology as part of their shopping experience, according to a survey conducted by ViSenze.
eMarketer principal analyst Victoria Petrock shares the latest on biometric marketing, including business applications of the latest physiological and behavioral identification techniques.
Having too many data management systems in use is a daily challenge for 40% of the decision-makers and data managers Vanson Bourne and Veritas surveyed. A similar number of respondents said there are too many data sources to make sense of.
In large organizations, departments are often not designed or encouraged to work together. And the only way to fix this is with the support of top-level management.
Technology is the means to transformation, not an end in itself. Rigid internal structures impede many organizations' digital transformation efforts.
While recent data reveals big differences in attitudes toward a range of shopping-related technologies, there are some noteworthy exceptions.
Smart glasses, like Google Glass, failed in the consumer space but are finding success in workplaces.
Retail executives and consumers in the US, the UK and Australia have widely disparate expectations about artificial intelligence's (AI) and virtual reality's (VR) effects on the retail sector
A lot of companies in the ad industry hope to profit from the digitalization of TV. But as with any big change, uncertainty creates some fear.