DotDash Meredith is the largest digital and print publisher in America, featuring well-known brands like PEOPLE, Better Homes & Gardens, Allrecipes, Investopedia, and Verywell. The company creates and distributes high-quality content across various platforms, including websites, magazines, and social media, covering categories such as health, finance, food, lifestyle, and beauty. This content attracts a large audience, which in turn draws advertisers looking to reach specific demographics. DotDash Meredith generates revenue through advertising, subscriptions for its print and digital publications, and partnerships with other businesses for co-branded content. The company's goal is to deliver trusted content to a diverse audience, thereby enhancing its appeal to advertisers and subscribers.

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DotDash Meredith

(Reuters) - IAC unit Dotdash Meredith will lay off 143 employees, or about 4% of its workforce, under a plan to focus on growing its advertising business, the publisher said on Thursday.

Investopedia owner Dotdash Meredith to lay off 4% of workforce

Dotdash Meredith announced Thursday it will eliminate 53 jobs, primarily in its print business, but did not respond to a question about how many of those jobs are in Des Moines, the center of its magazine publishing operation.

Dotdash Meredith plans more layoffs but is mum on how many in Des Moines office

Dotdash is the latest news organization to partner with OpenAI.

Dotdash Meredith will tap OpenAI's AI models to enhance its ad-targeting product.

Ingram Content Group has announced a raft of promotions at Ingram Publisher Services, with Meredith Greenhouse stepping up to vice-president and general manager, Nick Parker moving up to vice-president and Bunmi Western promoted to director of Ingram Publisher Services UK.

Ingram announces raft of promotions at Ingram Publisher Services

There are two things to know about artificial intelligence.The first is that it can “learn” from structured datasets, and the second is it needs massive resources, including human labor around tasks like data tagging and labeling, to run the models so that they can do the learning necessary to be trained and perform effectively.These two elements came to a head before the start of the New Year as AI pioneer OpenAI and its Big Tech partner Microsoft were sued Dec. 27 by The New York Times (NYT) for training their models on copyright-protected and paywalled NYT content without disclosing or compensating the NYT.Buried in the complaint was the fact that the news publisher had been working to finalize a licensing deal with OpenAI, but neither side was able to reach an agreement.Some publishers, including the Associated Press and Axel Springer, have already reached commercial agreements to license their content to OpenAI.Now, a Thursday (Jan. 4) report by The Information reveals just how much they have gotten from those deals — somewhere between $1 million and $5 million. The NYT, observers must assume, was probably hoping for more.That amount of money could be considered less than an overwhelming amount for the tech sector’s $90 billion darling to shell out, particularly when compared to the $50 million Apple is reported to be shopping around to other publishing companies like Condé Nast, the publisher of Vogue and The New Yorker, and IAC, which owns People, The Daily Beast and Better Homes and Gardens, to train its own AI systems.But perhaps most importantly, in the run-up to the time before the NYT’s legal complaint went public, OpenAI had started fielding complaints that its flagship ChatGPT products were getting lazier.we’ve heard all your feedback about GPT4 getting lazier! we haven’t updated the model since Nov 11th, and this certainly isn’t intentional. model behavior can be unpredictable, and we’re looking into fixing it ? — ChatGPT (@ChatGPTapp) December 8, 2023A potential culprit? The fact that OpenAI could no longer rely on NYT-based language datasets to train its models, resulted in a decline in capability.OpenAI’s GPT crawler has been blocked from accessing data by Vox Media as well.While OpenAI did not immediately reply to PYMNTS’ request for comment, the fact that today’s commercially available models can dip and rise in performance is an important data point for enterprise businesses to consider when looking to integrate the innovation into their workflows.It represents a potentially crucial point of failure that could derail business-critical processes and have unforeseen consequences across tech stacks.That isn’t to say that AI is too risky to onboard, but rather that firms need to be aware of the AI systems they are turning to, and most importantly the data sources behind them.See also: Walled Garden LLMs Build Enterprise Trust in AITech Platforms Have Always Chased the NewsThe foundational large language models (LLMs) commercialized today are typically trained using deep learning algorithms which are built on a neural network trained using billions of words of ordinary language.The specific sources of data used for training are often undisclosed by the companies behind these models. However, much of the data comes from publicly available information on the web that has been scraped and analyzed by LLMs, whose technical architecture was not designed to verify and attribute the inputs to its system outputs.In light of the use of copyrighted materials for training data, several news media publishers have reportedly met with OpenAI to discuss licensing their content for use in training that firm’s AI models.The publishers meeting with OpenAI included The Wall Street Journal owner News Corp., Dotdash Meredith owner IAC, USA Today owner Gannett and industry trade association News/Media Alliance.“I think [the lawsuit is] going to put a shot across the bow of all platforms on how they’ve trained their data, but also on how they flag data that comes out and package data in such a way that that they can compensate the organizations behind the training data,” Shaunt Sarkissian, founder and CEO at AI-ID, an AI tracking, authentication, source validation and output data management/control platform, told PYMNTS in December

Chatgpt Got ‘Lazier’ Before Nyt Lawsuit: What It Means For Enterprise Ai

Ossmann, a 62-year-old white male, sued Meredith in 2019, charging that the television station's Black general manager used sexual harassment complaints as a pretext to fire him so that he could hire a 37-year-old Hispanic woman to replace him and further the company's diversity goals.

11th Circuit Panel Affirms Dismissal of Discrimination Suit by White TV Weatherman

Carly Totten joined Dotdash Meredith in 2021 as an Ecommerce writer.

This fan works so well, shoppers say it’s the ‘only reason’ they’re able to sleep during heat waves

Bridget joined the Dotdash Meredith commerce team in 2019 and has three years of experience writing and editing food, drink, and lifestyle content for a variety of brands.

Crowd Cow Review 2023: Pricing, Delivery Options, and More

NEW YORK, May 16, 2023 /PRNewswire/ -- Dotdash Meredith (DDM), the largest publisher in America, today launched D/Cipher, a groundbreaking ad targeting tool that makes intent-based targeting at scale a reality, without cookies. D/Cipher connects advertisers to consumers in key moments of intent – as they make decisions, take action, and pursue their passions across DDM's more than 40 iconic brands, on all devices and platforms. Critically, D/Cipher unlocks Apple (iOS) audiences that have been unreachable by advertising cookies for the past two years, estimated at more than 50% of U.S. digital users.Developed and built by a world-class data science team based on billions of proprietary consumer interactions and content signals, D/Cipher identifies and harnesses consumer intent associated with every piece of DDM's expert-created, actionable, and brand-safe content. D/Cipher allows marketers to connect directly with consumers across all trusted DDM brands, like Allrecipes, PEOPLE, BHG, Byrdie, InStyle, Verywell, FOOD & WINE, Travel & Leisure, Southern Living, Verywell, The Spruce, and Investopedia. DDM brands help 30 million people each day, and D/Cipher gets smarter with each interaction."At DDM, our billions of historical consumer signals offer a unique window into how people make decisions and the intent behind their actions," said Joetta Gobell, PhD, SVP, Data Strategy and Insights at DDM

Dotdash Meredith Launches D/Cipher, A Transformative Intent-Targeting Tool For Advertising

Dotdash Meredith has tapped Maya Kachroo-Levine to serve as a senior editor for Travel + Leisure.

Dotdash Meredith names Kachroo-Levine senior editor for Travel + Leisure

Largest digital and print publisher in America

DotDash Meredith

Largest digital and print publisher in America

DotDash Meredith

Largest digital and print publisher in America

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