0 byAjay Ray 08 Jun Every day we generate a huge amount of data that can be numerical, categorical, or free text. However, the processing of all of those data is impossible. For this reason, a sample of them is categorized and fed to an artificial intelligence system that can spot future trends and give us insights. Nevertheless, in order for the machine learning systems to be successful, the data that we provide must be of good quality, which essentially means that they must be error-free. This makes data collection one of the most important processes of the development of an AI system. Read full article on LinkedIn: https://www.linkedin.com/pulse/6-easy-steps-create-data-collection-points-your-company-ajay-ray/ Recent posts What are the differences between Machine Learning and Artificial Intelligence? 2 byGopi Krishna Artificial Intelligence in Manufacturing Industry 0 byNagarjuna Kolipaka Comments Search blog... Categories All categories39 software39 Archive Select Here April 2020 August 2021 December 2019 February 2020 January 2020 January 2022 July 2021 June 2022 March 2020 May 2020 November 2021 October 2020 September 2020
0 byAjay Ray 08 Jun Every day we generate a huge amount of data that can be numerical, categorical, or free text. However, the processing of all of those data is impossible. For this reason, a sample of them is categorized and fed to an artificial intelligence system that can spot future trends and give us insights. Nevertheless, in order for the machine learning systems to be successful, the data that we provide must be of good quality, which essentially means that they must be error-free. This makes data collection one of the most important processes of the development of an AI system. Read full article on LinkedIn: https://www.linkedin.com/pulse/6-easy-steps-create-data-collection-points-your-company-ajay-ray/