[unable to retrieve full-text content]
For high-tech companies, data has always been one of the most valuable assets. Today, we generate more information than ever before — 2.5 quintillion bytes of data every single day. New developments in artificial intelligence and big data analysis mean that almost any industry can use data to drive policy and decision-making processes. Organizations — both public and private — are using big data to drive policy decisions.
Experts pioneer new uses for big data each day. One area where businesses already use big data to improve outcomes is in environmental compliance.
Big Data Analysis and Environmental Compliance
Big data refers to the collection and analysis of vast amounts of data using a combination of computer science and statistical analysis. Data is harvested from many sources — energy meters, CO2 detectors and even 5G-connected temperature gauges in high-tech factories — and brought together into one massive data set.
Next, computers analyze collected data to discover patterns and relationships between the different recorded variables. Data scientists use those insights to create predictive models that help businesses and government agencies drive decision-making processes.
Big data is an ideal fit for environmental compliance because it’s excellent at scanning substantial data sets for patterns and relationships between seemingly unrelated …
Read More on Datafloq