I suggest you see your doctor. Seriously.
Anyway ...
As CEO of the largest and oldest and most revered business skills training company in the world, Joe Hart is a preeminent leadership authority providing guidance around management AI practices and mindsets. This Dale Carnegie CEO - and author of the #3 WSJ best-selling book "Take Command" - offers the below insights on how leaders are already falling short on AI implementation. The topic is especially timely amid Biden's recently signed executive order imposing new AI regulations that further the complexities leaders must navigate. Byline format of the below narrative also available by request. Interest here as we hope?
Er ...
'What the hell is this, boss?!'
I have absolutely no idea, Voice. I thought he might need a doctor, this Joe, however ... he seems to be okay.
'If a little confused.'
We're all a little confused, son. It goes with the territory.
'What territory?'
Shut up.
AI Adoption Angst: 9 Ways Leaders Are Suffering Inadequate Implementation
Uh.
Well, the leaders need to see a doctor then.
'What leaders?!'
I don't know! Just shut up, Voice! Please! Let's get this PR email done and move on to something else.
'I heard that!'
Uh.
In today's fast-paced and technology-driven world, Artificial Intelligence (AI) has emerged as a transformative force that holds the potential to revolutionize the way we work, make decisions and interact with technology. AI promises greater efficiency, data-driven insights, and enhanced productivity, making it a valuable tool for businesses across various industries. Yet, despite the promises of this cutting-edge technology, many leaders find themselves grappling with the challenges of effectively implementing AI in the workplace.
While AI offers a plethora of advantages, from automating routine tasks to uncovering hidden trends in data, the road to successful AI integration is far from straightforward. In recent years, the struggle to harness AI's full potential has raised a critical question: why are so many leaders failing with AI implementation, and what avoidable factors contribute to these setbacks?
Christ.
Businesses are increasingly understanding AI’s utility for many of their more mundane, or even complex, tasks yet are struggling with effective and scalable implementation - particularly in a fashion that fruitfully engages employees in the process.
Listen! If the employees have got any sense, they will smash these metal muthas into junk. It's the only way.
'What about Metal Mickey?'
I've told you before, Voice. Metal Mickey must die, too. I don't care how harmless he seems, okay?
'But the kids love him!'
I don't care! He must die! Metal Mickey must die!
'Okay.'
Anyway ...
In an ideal world, AI does the brunt of the menial tasks, leaving humans to -
No, no. That's enough.
Thanks, Joe.
ENDS
ENDS
ENDS
...
Anything else?
I've decided I need two more poems like There's nothing. However, that poem was years in the making, so I'm not getting my hopes up.
You see, as well as the BIG poems, I need these smaller poems that have as much jammed into them as possible. It takes a lot of inspiration and/or work, and it takes a lot of polishing and refining.
It's exhausting.
But also rewarding ... when it's finished ... because ... Well, I don't want to say. Everyone will find out sooner or later.
'Nice one!'
Laters.
