AI vs Machine Learning: What are their Differences & Impacts?

These words conjure visions of decision-making computers replacing whole departments and divisions -- a future many companies believe is too far away to warrant investment. But the reality is that artificial intelligence is here, and here to stay. Particularly at the enterprise level, a growing number of companies are tuning in to the data science, productivity, and promise of machines that can think for themselves. Recent data from the National Venture Capital Association shows that 1,356 AI-related companies raised $18.5 billion in 2019 in the US, up from the $16.8 billion in 2018. Despite scaremongering projections that millions will need to switch occupations as robots and algorithms take over specific tasks once done by humans, most analyses project job gains as a result of AI, machine learning, and deep learning.