FIVE WAYS TO GAIN INTIMACY WITH DATA FOR FASTER AI AND ML CYCLES
December 06, 2018 | (2 p.m.)
USA (United States of America)
With all the hype, hoopla and potential that surrounds AI and machine learning (ML), there are some significant factors mitigating its’ success in the enterprise. AI can be hard to integrate into operational processes, partly because the tools to work with it are, to varying degrees, primitive and isolated. If you’re going to make machine learning work right, you’re going to need well-honed data sets on which to build your models. Getting there isn’t just about preparing the data.