Artificial Intelligence, better known as AI, and its subsets like machine learning, deep learning, and generative AI are on the tip of everyone's tongues these days, and rightfully so. The rapid growth and development in this field have led to pioneering strides in several sectors ranging from healthcare and finance to entertainment and logistics.

Starting from a purely technical perspective, Generative AI is a subtype of machine learning. It enables artificial systems to generate data that mirrors input data. The most renowned brands like OpenAI, with models such as GPT-3 (Generalized Pre-training Transformer 3), and Google's DeepMind, with AlphaGo and AlphaFold, have paved the way for comprehension and anticipation in AI.

These advancements have shown us that AI isn't just about mimicking human intelligence - it's about augmenting it. It can help us to comprehend complexity, discover confounding patterns, automate monotonous chores and even improve our creativity. For instance, DeepArt and DeepDream by Google are brilliant demonstrations of how AI can inspire human artistry.

In healthcare, AI takes a massive leap forward with techniques like computer vision and natural language processing. Companies like Tempus and Zebra Medical Vision are using AI for early detection and treatment of diseases. They can parse through medical records, identify trends, flag anomalies, and even help doctors formulate treatment plans.

AI has evolved past earlier technological limitations. For instance, DeepMind's AlphaGo was famed for vanquishing the world Go champion in 2016. It was a milestone because Go, a simple yet profoundly complex game, was beyond the capabilities of rule-based AI. AlphaGo learned the game through reinforcement learning, which allowed it to not just mimic human moves, but devise innovative strategies.

The banking sector is also revolutionized by AI. AI applications like robo-advisors from Betterment and Wealthfront are automating the process of financial advisement, bringing it to the masses at lower costs. AI can also detect fraudulent activities, with companies like Darktrace using machine learning algorithms to identify security threats.

AI in transportation, epitomized by Tesla's autopilot feature, not only offers comfort but also safety by minimizing human error. Enterprises like Waymo and Mobileye also contribute significantly to automated driving systems.

However, it is imperative to address the ethical implications of AI. Do machines have rights? Who is legally responsible if an AI causes harm? As AI advances, we'll need to develop a comprehensive framework to guide ethical AI use.

To sum it up, the advancements in AI and the emergence of tools such as GPT-3, AlphaFold, and robo-advisors have reimagined how we interact with technology. AI no longer just supports or assists; it actively contributes to human decision-making, assisting us in unearthing new insights into our world. In all of this, one thing is clear: we're no longer asking if AI will change the world, but how much.

But while we marvel at AI’s prowess, we need to remember that it's only a tool - it’s up to us, the humans, to wield it wisely. We must build on the lessons from the most successful AI applications and march forward towards the goal of making AI ubiquitous, so that everyone, irrespective of where they are or what they do, can benefit from this remarkable technological revolution.