Chiba asks, “How do you evaluate AI solutions with everything that’s happening? How do you know what’s real and what isn’t?”
In this video, I address the issue of evaluating AI solutions in a crowded market, where it can be challenging to know what is real and what isn’t. The best way to approach this is by using a framework that Trust Insights calls the five P’s: purpose, people, process, platform, and performance. By considering these five factors, you can narrow down your options and find the right AI tool to solve the specific problem you are trying to address. It’s also crucial to evaluate your team’s technical expertise, your current processes, and how you will measure success. By following this approach, you can save yourself a lot of time, money, and heartache. So if you’re considering an AI solution, don’t miss this video. And if you find it helpful, hit the subscribe button for more content like this.
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What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for watching the video.
In today’s episode Jeeva asks, How do you evaluate AI solutions with everything that’s happening right now? How do you know what’s real? And what isn’t? This is really important question because as you’ve likely seen on LinkedIn and in the news, there’s a gazillion new AI companies every single day promising point solutions for just about everything.
And we’ve seen this happen before, right in the marketing technology space, we’ve seen this with the MAR tech 9000.
Scott Brinker is annual survey of the number of marketing technology companies.
And it’s like over 9000 Different companies have all these point solutions.
The way you evaluate AI solutions, is no different than the way you evaluate and the other solution, the framework that I use that that tends to work best is one from Trust Insights, it’s the five P’s right purpose, people process platform performance.
And very quickly, first, what problem are you trying to solve? That’s the purpose, right? If you want to just use AI, for the sake of using AI, you’re gonna have a pretty rough time of it, right? Because there’s so many different solutions that will let you use AI, but they don’t really, you know, that doesn’t really give you any focus, what’s the specific problem you’re trying to solve and is an artificial intelligence based tool, the right tool to solve that problem? If you just need to create content, create content, then yes, generative AI is a great solution.
There’s no shortage of companies that will help you crank out mediocre content.
If you want to create award winning content, that’s a different story.
And AI probably is not the solution there.
Because creating something that is truly original or award winning, kinda is not what the tools are meant for.
They are really are good at summarizing or extracting or rewriting or generating from existing known topics and content, they’re not really going to create something net new that’s never been seen before.
So that’s the first P purpose.
The second is people who do you have on your team? And what skills do they have? That’s going to really dictate what solutions you look at, there are technical solutions and non technical solutions, there are solutions that require a lot of babysitting a solutions that are are turnkey.
And if you don’t have a skills inventory of the people who work for you, you’re gonna have a rough time figuring out what solution to choose, because every vendor is going to tell you the same thing.
Oh, it’s fast.
It’s convenient, it’s turnkey, all this stuff.
And that’s usually not true.
So knowing who you have on your team, and how technically technically competent they are, will dictate what choices you can can’t make.
It’s a constraint, right? If you have people who are non technical on your team, that rules out an entire section of artificial intelligence tools that require technical expertise and developers to be able to implement.
And that’s not a bad thing.
It’s, it’s not a knock on your company.
It’s just, that’s the reality.
The third is process, what processes do you have in place to be able to use this tool? Right? Think about it like a kitchen appliance? How do you operate your kitchen right now? What are the things that you’re used to? You’re going to put a new appliance on the counter? You need to figure out? How’s it going to change what menus you decide you’re going to cook that week? How’s it gonna change? Where you put dishes away in your own kitchen? How’s it gonna change the flow? When you’re cooking? If you’ve got this new appliance? Does it shorten the time from a recipe? If so you better make sure that your other dishes are a change to accommodate that timing change.
So there’s a whole bunch of processes that happen with AI, the question that people ask the most and first, which really shouldn’t be is the platform like what tools should I be using? What vendors should I be using? That’s the last question you ask.
That’s the the question asked, after you figured out the people and the processes and the purpose.
Because there’s no shortage of tools.
The question is, is it the right tool for your budget? For your technical capabilities for your data? That’s an important set of considerations.
And finally, is the performance How do you know that AI is working for you? How do you know that it is improving what you’re trying to do? And is not reducing your performance? So what are the performance metrics that you’re going to measure success by? If you do this first before you start talking to vendors, if you do all five Ps, you will be in a much better place to be able to say to a vendor, here’s what I’m looking for.
And the vendor.
You know, the reputable ethical wants to say nope, that’s not us.
We can’t do that.
You know, we can’t do this here.
We can’t do this here.
The unethical ones will tell you whatever you want to hear.
But if you’ve gotten the five p Sit down in writing.
And you’re very clear.
You can say, great, you know, you promise this tool can do this, I want that in writing.
And I want a service level agreement that says if it doesn’t do this thing, you’re gonna give us our money back plus some.
And that’s at that point the vendor be like, Oh, give me give me oh, maybe maybe we can negotiate on that.
But that’s the process I would use to evaluate an AI solution or any, any technology solution.
What’s the purpose? Who are the people that are going to be involved? What are the processes needed to support the tool? Which tool vendor you’re gonna choose? And how do you know that you’re going to be successful? answering those questions in detail will save you so much heartache, and so much heartbreak and keep things from going wildly off the rails and wasting a ton of time and money.
So really good question.
Thanks for asking.
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