Artificial intelligence, machine learning and augmented analytics are terms we’re now seeing on a continual basis. Every second, companies worldwide create and collect new data, so companies can’t afford to sit idle as they seek to become more data-driven organizations to advance their business intelligence (BI) strategies.
Being immersed in the field of BI and analytics as the CEO of a natural language generation provider, I’ve seen the demand from companies, big and small, to become data-driven and their need for more resources to achieve that. There’s a rising demand for data scientists and analysts who play an invaluable role in data wrangling, discovery, analysis, structuring, cleaning, validating and communicating data for projects and company needs.
Author: Marc Zionts