How should I use AI within my business?

Latest developments in AI

AI has taken impressive steps in recent years. Generative AI in particular, such as ChatGPT and DALL-E, has changed the way companies handle content creation, customer service and data analysis. Thanks to AI models that can learn from large volumes of data, business analyses that used to take weeks are now available within a few hours. AI also allows companies to automate processes such as quality control, staff planning and even product development. Even so, it is important to look critically at what AI can and cannot do, so that the technology is used responsibly.

Want to talk AI? The coffee is ready!

Dangers of AI

AI offers opportunities, but also risks. One of the biggest dangers is the so-called ‘black box’, where decisions are made by AI without us understanding exactly how the algorithm arrived at that decision. That can lead to unforeseen outcomes and makes it hard to take responsibility for decisions. AI can also lead to privacy and security problems, certainly when sensitive information is processed by AI models, which is something you want to avoid at all times. Finally there is the risk of AI acting unfairly or with bias, which can happen if the algorithm is trained on one-sided data. It is worth keeping that in mind when you use AI. 

Biggest pitfalls of AI

1. Black-box decision-making: Many AI models work as a ‘black box’ where decisions are not transparent. That can cause problems if you operate in sectors such as healthcare or finance.
2. Bias: AI can inherit bias from historical data, which can lead to unequal treatment, in recruitment and selection for instance. So be critical of the answers you get from AI. 
3. Data and privacy risks: AI needs a lot of data, which brings risks around privacy and data breaches. Be alert to what information you share with AI; some AI models store all your input. 
4. Cybersecurity risks: AI systems can be attacked by hackers, who can alter the data to mislead the system. Use dedicated security techniques such as "adversarial training". That teaches the AI to cope better with attacks, so it is less easily thrown off when data has been manipulated.
5. Operational dependence and cost: We certainly encourage using AI in your business, but make sure there is human oversight and there are backups to limit the risks. That way you are not dependent on AI.

See how we prevent this for you

Take the first step with AI for your business

Getting started with AI as a company does not have to be big or complex right away. The first steps in AI can be small and low-threshold: starting a simple project that delivers results quickly and gives insight into the benefits of AI, for example. Think of a simple chatbot that answers frequently asked questions, or an analysis tool that recognises patterns in customer data. By starting with one clearly defined project you quickly experience what AI can contribute without it becoming overwhelming. You do not have to be an AI expert to start; with the right tools and, if needed, a partner to help you on your way, your company takes a step forward soon enough. That way you can see in a controlled setting how AI can speed up processes, increase customer satisfaction and uncover opportunities that were previously invisible.

5 tips for using AI effectively within your business

1. Start small: Begin with a clearly defined project that can deliver results quickly. That helps you discover how AI can best help your business, without major risks.
2. Make sure your data is up to date: AI is only as good as the data it is trained on. Make sure your data is clean, relevant and representative to get the most reliable outcomes.
3. Work with experts: AI calls for technical expertise. Work with AI specialists or consider bringing in external consultants to make sure the technology is deployed the right way. At Digital Impact we are always here for you.
4. Stay sharp and critical: When you use AI over a long period, the answers can gradually change. That can be a particular problem in text creation, where consistency of style matters. It is essential to check and steer the AI regularly, so the writing style stays the same.
5. Keep learning and improving: AI and the technology behind it develop quickly. Make sure you stay up to date with new developments and optimise the AI systems within your business regularly. That way you stay up to date too!

More information? Get in touch

Conclusion

AI offers companies opportunities to become more efficient and more innovative, but it requires careful planning, expertise and attention to ethics and transparency. By being deliberate about both the possibilities and the pitfalls, and by implementing AI the right way, AI can help your business stay a step ahead of the competition and achieve lasting success. Would you like more information, or to talk through how you can implement AI in your organisation? Get in touch with our specialists!