This white paper gives a succinct overview of data science automation methods and their uses. It can be used to inform on the ‘art of the possible’ and should assist with forming the direction and planning of data science at the heart of your business processes.
About The Author
Michael Brown is a Data Scientist specialising in Automation and NLP. At Intechnica, Michael is typically involved in early-stage project scoping and development to test associated hypotheses, looking to prove the existence of, and quantify, value-adding opportunities. His work has most recently been focused in automating repetitive tasks for clients using OCR/ODR to reduce process costs and improve resource productivity.