The Right Workforce Turns Data into Rocket Fuel for AI Projects - Dataconomy

Breaking down the workforce options for AI developers to structure raw data for machine learning. While it may seem like artificial intelligence (AI) has hit the big time, a lot of work needs to be done before its potential really come to life. In our modern take on the 20th-century space race, AI developers are hard at work on the next big breakthrough that will solve a problem and establish their expertise in the market. It takes a lot of hard work for innovators to deliver on their vision for AI, and it's the data that serves as the lifeblood for advancement. One of the biggest challenges AI developers face today is how to process all the data that feeds into machine learning systems, a process that requires a reliable workforce with relevant domain expertise and high standards for quality.