Machine Learning and Data Quality

#artificialintelligence 

Machine Learning is where computers learn things that they were not specifically designed to do. Traditional definitions of data quality define it as data which is able to do what it was designed to do. Spotless Data has recognised that this in an out-of-date definition which fails when it comes to Machine Learning and data quality in general. This traditional definition also fails when it comes to future-proofing the data one has or are likely to have. To be able to do new things with big data without having to completely overhaul the platform that took such effort and resources to create; now that is data quality!