Digital transformation is now a continuous process of business reinvention. Companies must embrace AI and data-driven operations to stay competitive, with leaders achieving significantly better results than laggards in implementing digital technologies.

Machine learning (ML) is a type of artificial intelligence (AI) that allows computers to learn from data and make predictions. Businesses are adopting ML to automate tasks, improve efficiency, and gain new insights from data. There are different techniques for training ML models, including supervised, unsupervised, and reinforcement learning. No-code ML, TinyML, AutoML, and MLOps are emerging trends that make ML more accessible to businesses. By understanding ML, businesses can discover new opportunities to gain a competitive advantage.

Businesses worry about inaccurate AI outputs. Explainable AI aims to address this by making AI systems transparent, building trust, and ensuring fair and accurate AI decisions.