Data quality for machine learning and artificial intelligence
IDC study: Ensuring data quality as well as recording and classification of relevant data slows down data-driven business models in Germany - also for machine learning and artificial intelligence. Extensively growing amounts of data in companies, enormous computing power and powerful analysis tools offer companies and organizations of all industries and sizes excellent framework conditions for the successful use of comprehensive analytics approaches of machine learning and artificial intelligence. This means that, in theory at least, they have very good prerequisites for using their data to optimize internal processes and to develop new business models in order to remain competitive. That the reality in this country ...