Generative artificial intelligence (AI) has been making waves in recent years, and the immense potential it holds has caught the attention of consumers, businesses, and media alike. Advanced chatbots like ChatGPT and other gen AI technologies have only provided a glimpse of what’s to come. Enterprises can leverage gen AI to transform the way they design products, manage supply chains, and offer customer service. With new models, chips, and developer services in the cloud, like those offered by AWS, widescale adoption of gen AI across industries is now within reach.
CIOs who wish to incorporate this technology into their operations must first understand the possibilities and risks it entails. The following five tips can help businesses harness the true potential of gen AI.
First and foremost, building a strong foundation with quality, unified data is critical when it comes to training models and ensuring success with AI and machine learning. Autodesk, for instance, leverages gen AI to create thousands of product design iterations and optimize manufacturing processes on AWS. Additionally, gen AI could be used for financial forecasting and scenario planning, predictive modelling, automating content creation, and assisting healthcare professionals with diagnosis and treatment recommendations.
Generating AI applications also help optimize product lifecycles, such as retail companies using gen AI to manage inventory placement and store layouts. Furthermore, gen AI can lead to increased productivity and decreased development time for repetitive coding tasks for developers.
When deploying gen AI, businesses must consider the risk of bias or inaccuracies in the data. As outputs can sometimes be hallucinations, organizations must ensure that these results are used as a guide, rather than a prescriptive solution. Additionally, security and privacy concerns must be addressed, and legal teams should mitigate risks surrounding intellectual property. It’s also essential to consider any regulations and compliance requirements, as well as who owns the data used.
In conclusion, gen AI provides vast benefits for businesses that deploy this technology responsibly. While it offers tremendous potential for augmenting human performance and increasing productivity, there are risks that must be considered and mitigated. Therefore, it’s crucial to experiment with use cases, understand both the benefits and risks of gen AI, and develop an implementation strategy accordingly.
