SeersAi

  Artificial intelligence now sits inside hiring tools, credit checks, chatbots and marketing platforms. Yet many organisations use these systems without any structure for managing the risks they create. That structure has a name: AI governance. What AI governance means AI governance is the set of internal policies, roles and checks that guide how an organisation builds, buys and monitors AI. It covers the full life of a system, from the data used to train it through to how its outputs are reviewed once it is live. The central idea is accountability. Someone must be able to answer for what each system does. It is worth separating governance from regulation. Regulation is imposed from outside by law. Governance is what an organisation builds internally, and good governance usually goes further than the legal minimum. The rules that now apply The most important law in this area is the EU AI Act. According to the official implementation timeline published at artificialintelligenc...

  If you have already tested new creatives, adjusted bids, and rebuilt your audiences — and your Amazon ads are still underperforming — you are probably fixing the wrong thing. Campaign performance has a foundation. That foundation is your data. And if the data feeding your campaigns is broken, no amount of creative optimisation fixes the output. The part of that data most advertisers never check is called the Amazon Consent Signal. What is the Amazon Consent Signal? When someone visits your website, they decide how their data gets used for advertising. That decision — their consent choice — travels to Amazon as a structured signal. Amazon uses it to build your Sponsored Ads audiences, qualify impressions, model lookalike groups, and measure which ads drove actual purchases. This signal sits underneath every campaign you run. When it is accurate, your targeting reflects real buyer intent. When it is broken or missing, your audiences get assembled from incomplete data — and ever...