Enterprises and biz tech workers should at least be experimenting with machine learning, deep learning, and genAI, but 2024 may not be the time for your company to go all-in. Wait for the fake news and possible disinformation of the election to shake out. Wait for the tools to have their rough edges smoothed out and additional rounds of training. Wait for government regulations to be invoked (or at least until you get a better sense of what they’re aiming to regulate). If productivity is the goal, wait for the promised productivity gains to be realized by others.
GenAI is still the new big thing, but it hasn’t advanced as much as the hype might make you think.
Still confused about the difference between AI, generative AI, machine learning and LLMs? The links below can get you up to speed.
Jumpstart your AI knowledge
Artificial intelligence (AI), as defined by Coursera, is an umbrella term for computer software that mimics human cognition to perform complex tasks and learn from them. AI, machine learning, deep learning, and generative AI are sometimes used interchangeably, but they are each distinct terms with separate meanings.
Machine learning is a subfield of AI that uses algorithms trained on data to produce adaptable models that can perform a variety of complex tasks.
Deep learning is a subset of machine learning that uses several layers within neural networks to do some of the most complex ML tasks without any human intervention.
