How Augmented Analytics Is Turning Big Data Into Smart Data
Smart data is generated by filtering out the noise from big data that's generated by media, business transactions, Internet of Things (IoT), and data exhausts from online activity. Smart data can uncover valuable commercial insights, by improving the efficiency and effectiveness of data analytics.
Furthermore, vast amounts of unstructured big data can be converted into smart data using enhanced data analytics tools that utilise artificial intelligence (AI) and machine learning (ML) algorithms.
Advancements in data processing tools and the adoption of next-generation technologies - such as augmented analytics used to extract insights from big data - are expected to drive the smart data market toward $31.5 billion by 2022. Augmented analytics automates data insights gathering and provides clearer information, which is not possible with traditional analysis tools. Companies such as Datameer, Xcalar, Incorta, and Bottlenose are already focusing on developing end-to-end smart data analytics solutions to obtain valuable insights from big data. READ MORE ON: CLOUD COMPUTING NEWS