LIFI 23

Generative AI In Businesses

Words by Saile Villegas
From SeeAI

The internet, smartphones, social media…there are certain technologies that, once introduced, revolutionise the way we live and work globally. At Seeai, we believe that generative AI is the next game-changer to join the list.

Whilst it’s still in the early stages of adoption, this specific subset of artificial intelligence (AI) has the ability to impact numerous different industries and practices. It’s already made its way into the professional and personal routines of millions of users and, as the technology and our understanding of it grows, so will its influence.

Generative AI can be used in all types of businesses. For larger companies, the technology can help deal with high volumes of customer requests or data processing and manipulation. It can also automate repetitive tasks involving text or data, and support those needing personalisation at scale. For smaller companies, generative AI can help in other ways such as expanding on ideas and sourcing feedback.

There are many benefits to adopting generative AI in your business.

INCREASED EFFICIENCY — Automate repetitive tasks and streamline processes

INCREASED QUALITY — Produce high-quality content quickly and consistently

INCREASED PRODUCTIVITY — Free up human resources for more complex tasks

PERSONALISATION AT SCALE — Tailor content or experiences for individual customers

ACCELERATED GROWTH — Bounce ideas, acquire skills, and innovate faster to stay ahead of the competition

Neuroscientist Demonstration
More Data centres are needed

Tips for making the most of the technology

Combine human talent with generative AI technology

Generative AI models are very knowledgeable and have a lot of capabilities, but there’s a lot they don’t know (for example, the details of your business or internal operations). They also have limitations, such as not being as strong with complex arithmetical operations. So, they work best when augmenting humans rather than replacing them.

Implement good testing measures

Generative AI models will always try to output something, even when they don’t know the answer. This means the outputs can sometimes be unexpected. As such, it’s important to implement procedures where humans review the output to validate it, before assuming it’s correct. We’d also advise consulting with your team before implementing generative AI models in your organisation. If there’s a danger that an unexpected output could have a negative impact on your business, a human will be best placed to identify this issue beforehand.

Invest to unlock the true potential 

Entry-level generative AI models are very accessible and it’s easy to get help with a simple task using a free tool such as ChatGPT. However, to unlock the technology’s true potential, you’ll need to invest in areas such as augmentation and rigorous testing that allow you to create fitting business solutions. This way you can drive real growth in your business.

One misconception is that generative AI will completely replace humans

Common misconceptions people have about generative AI

As with any emerging technology, certain misconceptions and misunderstandings can arise. Here are two common ones we’ve seen linked to generative AI.

AI will replace humans

One misconception is that generative AI will completely replace humans in job roles. Whilst AI augments and helps humans to do their tasks more effectively and efficiently, the best outputs will be produced from the collaboration of humans with generative AI.

AI knows everything

Another common misconception is thinking that generative AI will know everything. Even though these models are very knowledgeable, there’s a lot they don’t know, such as the data within your organisation or your organisational processes (which tend not to be documented or accessible to the world). To get the most value from this technology, you need to give the models more context to work with. If you’re interested in learning more about generative AI, please get in touch with our team at Seeai.

Words by Saile Villegas
From SeeAI