Part 2/8:
The introduction of Software 2.0 marked a significant turning point. This new paradigm focuses on machine learning and employs neural networks that run efficiently on GPUs (Graphics Processing Units). This technological shift unleashed a wave of possibilities, leading to the advent of generative AI — a concept that extends far beyond code generation, enabling models to learn from data and subsequently generate new content across various domains.
Today, generative AI stands at the forefront of a revolution affecting industries worth an astounding $100 trillion. Knowledge enterprises are leveraging agentic AI to automate digital workflows, thereby enhancing productivity and efficiency across an array of business functions.