Anti LGBTQ Hate Crime Data 2023 Edition 2

Are your AI choices harmful to your business?

This content was originally featured in the May 24, 2023 newsletter found here: https://www.trustinsights.ai/blog/2023/05/inbox-insights-may-24-2023-harmful-ai-choices-ai-in-the-news/.

Are your AI choices harmful to your business? Let me explain.

As you likely know, AI is still dominating the news cycles (see Chris’ analysis below). This means that companies are trying to stay relevant, join the conversation, and embrace the technology. The challenge here is that AI is evolving at such a rapid pace that doing so means that by the time you publish, your article is out of date.

This is not an anti AI post. Not in the slightest. This is a…you guessed it…5P post. Ah, sneaky sneaky.

AI can do a lot for your company. That should be a given. It can help you operationalize tasks, make processes more efficient, and even fill in the gaps where you’re lacking staff.

There is a flip side to all this though. With AI changing so quickly, it can feel daunting to keep up with all the new bells and whistles. Just a few short weeks ago, major companies were hiring for prompt engineers. Now, a lot of these roles are already obsolete.

So, how do you keep up with AI and not waste a lot of time and resources?

Be clear on your Purpose.

As stated, AI can do a lot for your company. But that doesn’t mean it needs to do everything all at once. Introducing too much change can do the opposite of what you want. People can feel overwhelmed and easily become disenchanted with the new technology. If it’s “one more thing” to think about for your team, it’s not helpful.

Start with your user story. As a reminder, a user story is a simple statement with three key parts.

As a [persona], I [want to], so [that].

For example: As a [CMO], I [want to use ChatGPT], so [that we can increase our content production].

That statement tells us that the CMO wants to use AI to increase content. Pretty straight forward. You can use AI to do this a few different ways. This is where you need to get more specific with your purpose.

If we start picking apart the user story we can ask follow up questions like:

Is ChatGPT the right tool?
Do we want AI to write the content or just a draft?
Do we want AI to edit the content?
Do we want AI to replace the writers on the team?
Do we want to increase headcount?
Do we want AI to factor in SEO?
Do we want AI to have a specific voice/tone?
Do we want the content to increase awareness, engagement, or purchase?

There are a lot of different factors to consider. By making your user story super specific, you’ll have a better chance of success with the other 4Ps.

The next P is people. This might be the most difficult P when we’re talking about AI. If you don’t have a team with technical skills, introducing AI will be challenging. If you don’t have a clear purpose, you don’t know what you’re hiring for. Additionally, if you’re trying to take on too much at once, you could be hiring for the wrong skill sets.

After people is the third P, process. You need to have a clear purpose and the right people to set up an effective process for your AI. More on this soon.

Which bring us to platform, the P of the hour! AI is a piece of software and at the moment, there is a lot of options to choose from. This is where you go back up to the top of the Ps and make sure that you have a very clear, very specific purpose for using AI. If anything, you choose the platform last, not first. ChatGPT, for example, is a great piece of software, but it may not align with your purpose. You might not have the skills on your team to operate the software. Which means that developing a process around the software will be painful. The point here being, don’t choose the platform first. It’s the last thing you should be considering.

Last but not least, you have the fifth P, performance – did you solve the problem. If we refer back to the user story, we see that the purpose was to generate more content. If the user story stays general, then sure, a lot of different AI tools can generate more content. You can say that you’ve solved the problem. However, if you took my advice and created a more specific user story, you’ll know exactly what you’re measuring and if it had a positive impact on your company or not.

All this to say, if you make smart choices about AI, you can do great things with your team. The way to make those smart choices is to be clear about your purpose. Then evaluate your team’s skills. Develop a process for using and measuring AI. Then you pick an AI platform. Lastly, measure your efforts. The goal of AI is to make things easier, not harder.


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