3 ways AI can bring value to businesses

-Process Efficiencies (cost saving, productivity, speed etc.)

- Business Insights (risk prevention, learning, innovation etc.)

- Customer Experiences (24h assistance, real-time optimizations in the field, augmented UX etc.)

AI is simulation of Intelligence by computers. It can be designed for specific actions (ANI) or general actions (AGI). There are numerous AI applications like Alexa, Siri, Chat-GPT, Claude, Bard etc. AI can be used for predictions and for recommendations. AI is improved by performing machine learning which includes algorithms or models that detect patterns and learn through experience (model training) rather than explicit programming. 

In general, when talking about Machine Learning, it is important to know if the learning is supervised, unsupervised, reinforced or deep. Why is it important? It is important because it lets your audience understand better the AI context. In the case of supervised learning, the relationship of inputs to outputs is known. In the case of unsupervised learning, you want the model to find a pattern of behavior between the inputs and outputs. In the case of reinforcement learning, the pattern is validated through a reward system. Finally, deep learning is enabled when there are several layers of machine learning and large amounts of data.