Here’s What Can Go Wrong If Your AI Risk Management Isn’t Up To The Task
There are a number of landmines in the world of generative AI. Here’s what to watch out for and how to avoid them.
There are a number of landmines in the world of generative AI. Here’s what to watch out for and how to avoid them.
As bold and ambitious as Privacy Sandbox is, it’s rolling out with a lot of confusion and ambiguity. And there’s plenty about the new paradigm that we don’t currently understand.
Some marketers failed to heed the warning signs that their relationship with third-party cookies was coming to an end. But the time to move on is now. Fortunately, there are plenty of other addressability solutions in the sea.
Now that Google has deprecated 1% of cookies, the clock is ticking for advertisers and agencies to future-proof their media buying strategies. Cookies offered precision and scale in ad tech, and their deprecation leaves trading teams with more fragmentation and complexity to manage than ever before.
The question isn’t whether Google will fall, but whether its time is near. And, if so, what will finally bring it down?
The anonymous alphanumeric string made and lost fortunes in its short but eventful life. It was best-known for something it wasn’t actually designed to do: targeting ads.
New year, same conversation. Generative AI exploded onto the scene more than a year ago, and now you can’t go an hour without a new announcement about AI. While AI isn’t new, the introduction of generative AI has brought about the art of possibility. It brought what seems impossible within arm’s reach. Suddenly content at […]
“Standard advertising services” shouldn’t include recording intimate patient-doctor conversations to help drug companies guide doctors on how to push opioids.
Here are four common errors that can curtail the success of any influencer campaign – and advice for getting it right.
Are the big players building a more privacy-friendly advertising ecosystem in the right way? Or are they just cementing their control?
How can we establish guardrails for the use of generative AI while supporting creative exploration? As banal as it sounds, the answer is to create a comprehensive gen AI policy.
The push for more privacy-compliant ad targeting, combined with recent advancements in the use of on-device signals like location and biometric data, could mean the industry is finally primed to unlock mobile’s true value.
When Google first announced plans to disable third-party cookies on Chrome in January 2020, the news hit ad tech like an earthquake. But a lot has changed in the past four years. Now, as Google finally begins acting on those plans, the death of the third-party cookie is looking a lot more like opportunity than crisis.
Aiming for one thing and being measured against another is absurd. But this is how the multibillion-dollar TV industry has operated for decades.
Lawmakers are busy playing politics, and it’s getting in the way of creating safety guardrails for children’s privacy online.
With the encroaching reality of AI, marketing professionals should be included in strategic planning, given the roles we play in shaping public image and maintaining a brand.
Excluding the long tail of CTV is a hangover from a linear age when audiences clustered around a small subset of wildly popular shows. The idea of “premium” is subjective in a climate packed with vast amounts of content catering to diverse and passionate audiences.
Crisis is often fertile ground for change. And boy, the marketing world is in desperate need of change.
While 2023’s return to fiscal responsibility made for rough waters, it will pale in comparison to 2024. Here are eight trends worth watching.
Until universal standards are set and adopted by retailers, marketers need to ask some boring yet fundamental questions about the metrics currently in use if they want to assess and compare performance across retailers.
Self-supervised learning is at the heart of generative AI, and it’s perfectly suited to address the signal loss we’re increasingly facing in digital advertising today.
Native advertising needs a redefinition, not just for the sake of advertisers and publishers but also for consumers. Here’s how recent advancements in AI can help native advertising meet its potential.
Publisher frustrations with the algorithm-driven internet are boiling over – and the rise of generative AI-powered search, which rarely links to the stories it scrapes, will cause irreparable damage.
Welcome to Scandi-Land, where the cookieless future has been our online media reality for the last five years. Here are three lessons for media planners, buyers, sellers and platforms who are going to have a tough time navigating the thicket of change.
Marketers and advertisers have been calling for transparency into their advertising investments – from planning to activation, measurement and optimization – for years. Yet, by and large, the lack of transparency has been accepted as the status quo: While we’ve made strides, data remains fragmented – operationalized and accessed on behalf of marketers, rather than with them.
Google has had to rely on vectors other than an increase in search volume for growth. Without proper protective legislation in place, however, the result could be a dangerous one.
The ad tech industry has undergone an identity transformation. With 2024 around the corner, the end of the once-reliable cookie is finally at hand. But signal loss doesn’t stop with cookies.
The shift in ad spend from linear TV to CTV isn’t correlated to audience time spent. It’s because CTV offers entirely new possibilities to advertisers.
The need to expand beyond first-party identifiers fundamentally changes how companies think about building out a future-ready mar tech stack – with some big implications for how many companies have designed their customer data platforms (CDPs) today.
For the past two decades, B2B marketers have been inundated with messaging telling them they need to “take a page from the B2C playbook.” There’s truth in this advice – but there are faulty assumptions at play, too.