Technology

On today's podcast episode, we discuss a special edition of the unofficial list of the retailers who have made a comeback (from the dead). This month, our analysts Arielle Feger, Becky Schilling, and Sara Lebow (aka The Committee) put together a very unofficial list of the top eight retailers who have most impressively come back from the brink, and how they did it. In this month's episode, Committee members Senior Analyst Sara Lebow and Senior Director of Content Becky Schilling will defend their list against Senior Analyst Sky Canaves and Principal Analyst Sarah Marzano, who will dispute the power rankings by attempting to move retailers up, down, on, or off the list.

OpenAI’s Whisper often hallucinates harmful content, challenging its suitability for healthcare applications where accuracy is critical to patient safety.

The definition of open-source AI now requires transparent training data, giving Meta incentive to clarify what information it feeds Llama.

On today’s podcast episode, we examine Netflix from all angles. While subscriptions were up in Q3 of this year, they were down compared to the previous Q3. Find out everything you need about the streamer’s quarterly report by listening to the discussion with Senior Director of Podcasts and host Marcus Johnson and Analyst Daniel Konstantinovic.

They argue that “click to cancel” is costly and unnecessary, setting up a showdown over consumer protections and industry compliance.

The tool could shift users away from Google and Bing, embedding AI search across Meta’s ecosystem and unlocking fresh ad revenue streams.

Microsoft alleges Google is behind a front group to weaken its cloud business in Europe, signaling deepening animosity as both face mounting antitrust probes

On today's podcast episode, we discuss when we might be approaching the consequential ceiling of “peak media”, which folks watch the most influencer videos, where smartphone time is still climbing, and entirely too much more. Tune in to the discussion with our Principal Analyst and host Bill Fisher, Principal Analyst Paul Briggs, Vice President of Research Jennifer Pearson, and Chief Research Officer at GWI Jason Mander.

Its security memorandum treats AI models as national assets, offering counterintelligence backing and a framework to keep innovation safe and competitive.

With a 130% YoY spending jump, companies are doubling down on AI to drive innovation, despite concerns over data security and workforce readiness.

With safety leaders leaving, OpenAI’s shifting internal structure prompts concerns over its readiness for AGI and regulatory alignment.

Skipping its usual fall roll-out event, Apple will announce M4 devices and AI betas. It may be aiming to align launches with feature readiness.

Failure to secure patient data on a vast scale underscores how neglected safeguards put sensitive health information at risk.

Volkswagen aims to attract truck buyers with retro-themed Scout SUVs and pickups designed and built in the US.

Customers may be missing out on the full value of their cybersecurity policies: They know they need coverage. But they’re lagging in their pickup of related risk management services.

On today's podcast episode, we discuss the most important measurement considerations for marketers, how brands are able to stand out on TikTok, and how to best determine the true impact of media buys. Tune in to the discussion with Senior Director of Podcasts and host Marcus Johnson, Vice President and Principal Analyst Jasmine Enberg, and Aashish Takkala, Product Marketing, Media Measurement at TikTok.

Podcasters can now let Spotify take over control filters, but with election season looming, the platform’s ability to manage offensive comments will be tested.

The move could improve mobile gaming appeal but risks confusing users with fragmented offerings.

Despite growing adoption, poor data accuracy and unremarkable returns are limiting the success of genAI projects.

By automating interviews and job offers, the fast casual giant aims to improve recruitment efficiency, but risks of bias loom large.