AI at Work

AI abounds!  You cannot go past more than two LinkedIn posts and not read about someone that has ‘found’ AI and how it’s improving their job/life.  So we must all be using it too right?   Well.  For me, I think there are two distinct aspects to this, with one being more common than the other.

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AI Tools

First off, I’m sure that a vast proportion of the working population is now using some sort of AI tool in their line of work. If not daily, then perhaps on a weekly or monthly basis. Let’s face it: any piece of software that you have been using in the last year has no doubt been updated to now include an aspect of AI. Mostly taking advantage of new Generative AI capabilities, so features around text generation, summarization, etc.  This could be using an AI note-taking platform like Gong to automatically transcribe your online meetings and then summarise the call with all of the action items neatly captured. Or perhaps you're prompting ChatGPT to suggest how to craft an email you need to send to an unhappy customer.  And this is completely OK. AI being sprinkled into current workflows is fantastic and hopefully adds some productivity gains to your work.  But we can be far more intentional with AI than this.

Using Your Own AI

The second approach is far more sophisticated and revolutionary and, therefore, probably less common.  This would be training and building your own AI models and deploying them into your business.  Here we’re not just taking advantage of AI features in an existing product, but creating your own solutions. As an example, this could be training a model to forecast your optimal weekly raw materials order or creating a solution to recognise when food technicians are not wearing protective clothing correctly.

For me, it’s building your own solutions that will truly transform our business and enterprises.

And a question for you, what is the scope of AI use in your company?  Do you see areas where building your own machine learning models could improve your business?

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