AI has shown performance and efficiency benefits in many areas; therefore, it is natural for businesses to rush towards the latest generative AI and transformer-based models. However, not every IT challenge requires such a powerful solution. Sometimes, a well-tuned, rule-based system or a classical machine-learning model gets the job done with less cost, less risk, and fewer headaches. Besides transformer-based models (transformers), businesses can also consider symbolic AI, classical machine learning (ML), and deep learning models. CIOs and IT leaders who find the right balance between cutting-edge models and older AI techniques will win the day by matching the right tool to the right task.
Workhorses vs the Latest Greatest
AI is not a single technology. It consists of many approaches with different strengths, trade-offs, and use cases. Before jumping on the transformer bandwagon, it helps to understand what came before and where each …