The answers to these two questions have one thing in common: they can be used to build trust. Or, in the absence of the answers, diminish it. So in the age of ChatGPT, Bard, and other AI systems, how can we build trust in the content we produce? Thankfully, at [More]
One of the most profound changes in the area of content creation is Generative AI (eg. ChatGPT, Bard, Copilot, etc.). Ask a question, and it will answer. Ask a second question, and it answers, remembering the context of the first. These tools are incredibly powerful, and can cut content development [More]
Unfortunately, jumping on the AI bandwagon without asking some important questions — and exploring the important answers - can expose your business to unexpected risk. Here are six AI reality check questions: Where do you focus your AI experimentation to get the fastest ROI? Are you using a centralized approach, [More]
Four AI Lost Opportunities No brand voice: While it is possible to tweak how ChatGPT writes (“In the style of ____, write…”), this relies on the AI platform to already know what your brand’s voice actually is. And while it is possible to “teach” ChatGPT by feeding in examples of text [More]
There are two reasons why a risk assessment for new technologies (like ChatGPT and other AI tools) does not happen: most leaders are not aware of the risks (and lost opportunities), and individuals can use both their work computers and personal devices to access the tool, in the same way [More]
ChatGPT is a “large language model”: the system ingests copious amounts of training data, draws connections within it, does its abracadabra analysis, and then strings together responses based on the algorithm that it self-develops. So the question isn’t really how does an AI system become so smart, but rather where [More]
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