It's staggering to witness how many business owners just don't understand that good customer experiences usually start with checking their ego at the door and having some basic civilized manners. Hoo boy!

With all the talk about there not being any GenAI experts, it's occurred to me that right now, AI expertise is not about knowing all the things (because that is close to impossible), but instead it's about being an expert AI guide to bring others along their journey.

Marketers sometimes need reminding that AI is more than content creation. There’s lots of other ways to apply it for better decisions and information access.

Further support that getting the most out of Gen AI lies in the direction given and that a good approach is thinking of the model as a direct report or colleague you are giving direction.

Very excited to be able to share the stage with this guy and help B2B marketers create a practical path forward with their AI roadmaps.

Susan Westwater, CEO and Co-Founder of Pragmatic Digital, knows how to turn emerging tech into meaningful marketing outcomes—and has been doing it for over 20 years. At the AI for B2B Marketers Summit on June 5, she’ll cut through the hype to show how B2B marketers can use AI to

You can expect great presenters and content (if I say so myself 😉)

If you haven’t registered for the Marketing AI Institute B2B summit, now is your last chance (to hear from some of the best and brightest in AI marketing) all for free

Have we gotten to the point where showing a poor AI content outputs (aka bad images or copy) is more of an example of not knowing how to use AI well (and honestly accepting a crap output) than AI being "dumb" or "crappy")? I don't think it's the dunk some folks think it is.

Shared at GENERATE Chicago from Telus Digital’s: even though investment in AI is increasing, less than 30% of AI pilots move into product.

One day, you're all cool and into cutting-edge tech, and then you find yourself overjoyed about new skylights with retractable shades.

Far too many organizations are mistaking AI access for AI enablement. There still needs to be people and process before you can run with the technology.

Without an intentional implementation plan informed by a solid strategy, there's a high likelihood that an organization is actually committing "random acts of AI," which makes it harder to reap meaningful benefits.

Found a classic in the bookcase. Anyone else live by the "your choice isn't final and you can change your mind if you leave your fingers between the pages" rule?