I struggle because I’ve been medically retired for 20 years. I’m a bit out of date with technology. I was born an analyst and was a specialist in my area for the government. So I probably understand in abstract more than some in the AI world do about what is possible and how it will change their field. This is my personal thoughts on people worried about having AI replace them, they need to become liaisons in their department for everything that will processed through the system relating to what they manage. Data hygiene is going to be more important than they realize. Small misalignment in what is entered or collected in the system from what is understood as the metric definition for just one point that is used in that field can throw off everything. AI can pull things together and roll everything up clean and visually easy to read but if that person doesn’t understand the data then the report is garbage. Just because they aren’t pulling metrics manually and putting it together in a report doesn’t mean they don’t need to understand as a Subject Matter Expert. In fact they will have to understand in much more greatly in depth to catch when something isn’t right. They will need to go deeper into the numbers then before. So having a strong networking relationship with everyone that contributes data to the system will be the difference between if AI has brought a higher level of value to the company by the level of high accuracy used to make decisions and process reports with much more information that will add incredible value to their work. Or having the system just leave them with junk causing their department to fail in whatever the company needed them to handle.
When I hear these CEOs in podcast proclaim that AI is already doing 40% of their work I cringed. If that’s what they think then people weren’t doing their jobs and the CEO has lost the understanding of what’s actually needed. They will fail. So I might not understand the coding or technology aspect of the system coming but I can see very clearly the kinds of repercussions that will have in the company. Tech allows people to produce much higher levels of information that has value to the company, their scope of the job will be increased only as far and wide and the system can really report the data and information to them. They will notice when something has changed or catch on to something missing that wasn’t ever realized before. Those very human traits to understand when everything is running completely perfect, what is actually missing and why. That will help the company to continue to grow and expand. AI will just stride for perfection of the process it has been tasked with managing with precision with no mistakes.
So yeah that’s how i think things will go. The key to success for that worker in to understand exactly how the system works and every workflow and process it will use to do those “menial” tasks giving the company the information. Jokes on the Management that doesn’t understand what exactly they are managing
Your articles help me connect what I know to what I would need to know and how I will get there to close the gap. Thank you!
you totally nailed something most AI people are missing completely - your analyst background gives you this crazy ability to see through the hype and spot the real issues with data integrity that everyone else is overlooking.
I’m a strange one, trust me I know! 😂 I haven’t used AI yet because I don’t like companies like META. They worked with companies that used data and information collected to apply psychology to it, which allows it to be used targeting individuals manipulating them into feeling or acting a certain way. So data collection that they can sell to companies that see it as more valuable then gold. They don’t understand what to do with it or really understand anything beyond thinking they just need a little more information from a different aspect to collect it. They think it’s the missing piece to bring everything together so they can understand what to do with it. I am happy staying out of their way while trying to build a huge new system of sloppy bad understanding of it. I do day dream of what a new system like AI could do very successfully and make life easier for just a regular person like myself. I’d like to one day see how close to what I think it will do successfully and what types of skills and understanding I need to make it work for me. Like Shortcuts in Apple to create ways I can explain what I need it to manage and track. That helps me understand and catch up with more current technology to understand how it works. While planning the best practices to compile different information that is of value to me, I need to learn the best way to keep it clean and usable in system without adding unnecessary data that could cause confusion in understanding what it is to the system. If that makes sense? 😂
Great info. Quantification is a big deal — being able to share not just personal improvements, but how you’ve helped others and scaled improvements can position you well.
This was fantastic information! Thank you!
Glad it resonated! Share it with someone who needs it
I struggle because I’ve been medically retired for 20 years. I’m a bit out of date with technology. I was born an analyst and was a specialist in my area for the government. So I probably understand in abstract more than some in the AI world do about what is possible and how it will change their field. This is my personal thoughts on people worried about having AI replace them, they need to become liaisons in their department for everything that will processed through the system relating to what they manage. Data hygiene is going to be more important than they realize. Small misalignment in what is entered or collected in the system from what is understood as the metric definition for just one point that is used in that field can throw off everything. AI can pull things together and roll everything up clean and visually easy to read but if that person doesn’t understand the data then the report is garbage. Just because they aren’t pulling metrics manually and putting it together in a report doesn’t mean they don’t need to understand as a Subject Matter Expert. In fact they will have to understand in much more greatly in depth to catch when something isn’t right. They will need to go deeper into the numbers then before. So having a strong networking relationship with everyone that contributes data to the system will be the difference between if AI has brought a higher level of value to the company by the level of high accuracy used to make decisions and process reports with much more information that will add incredible value to their work. Or having the system just leave them with junk causing their department to fail in whatever the company needed them to handle.
When I hear these CEOs in podcast proclaim that AI is already doing 40% of their work I cringed. If that’s what they think then people weren’t doing their jobs and the CEO has lost the understanding of what’s actually needed. They will fail. So I might not understand the coding or technology aspect of the system coming but I can see very clearly the kinds of repercussions that will have in the company. Tech allows people to produce much higher levels of information that has value to the company, their scope of the job will be increased only as far and wide and the system can really report the data and information to them. They will notice when something has changed or catch on to something missing that wasn’t ever realized before. Those very human traits to understand when everything is running completely perfect, what is actually missing and why. That will help the company to continue to grow and expand. AI will just stride for perfection of the process it has been tasked with managing with precision with no mistakes.
So yeah that’s how i think things will go. The key to success for that worker in to understand exactly how the system works and every workflow and process it will use to do those “menial” tasks giving the company the information. Jokes on the Management that doesn’t understand what exactly they are managing
Your articles help me connect what I know to what I would need to know and how I will get there to close the gap. Thank you!
you totally nailed something most AI people are missing completely - your analyst background gives you this crazy ability to see through the hype and spot the real issues with data integrity that everyone else is overlooking.
I’m a strange one, trust me I know! 😂 I haven’t used AI yet because I don’t like companies like META. They worked with companies that used data and information collected to apply psychology to it, which allows it to be used targeting individuals manipulating them into feeling or acting a certain way. So data collection that they can sell to companies that see it as more valuable then gold. They don’t understand what to do with it or really understand anything beyond thinking they just need a little more information from a different aspect to collect it. They think it’s the missing piece to bring everything together so they can understand what to do with it. I am happy staying out of their way while trying to build a huge new system of sloppy bad understanding of it. I do day dream of what a new system like AI could do very successfully and make life easier for just a regular person like myself. I’d like to one day see how close to what I think it will do successfully and what types of skills and understanding I need to make it work for me. Like Shortcuts in Apple to create ways I can explain what I need it to manage and track. That helps me understand and catch up with more current technology to understand how it works. While planning the best practices to compile different information that is of value to me, I need to learn the best way to keep it clean and usable in system without adding unnecessary data that could cause confusion in understanding what it is to the system. If that makes sense? 😂
I think the top psychology phds in the last 20 years have went to these companies
Great info. Quantification is a big deal — being able to share not just personal improvements, but how you’ve helped others and scaled improvements can position you well.