AI can perform tasks such as identifying patterns in the data more efficiently than humans, enabling businesses to gain more insight out of their data. With the help from AI, massive amounts of data can be analyzed to map poverty and climate change, automate agricultural practices and irrigation, individualize healthcare and learning, predict consumption patterns, streamline energy-usage and waste-management. A meta information can be gathered for these classification techniques and based on these meta information a model of robust for large datasets can be less accurate can be slow for former case. A meta information can be gathered for these classification techniques and based on these meta information a model of robust classifier can be formed which will decide to apply the techniques or their synergic approach based on the requirements of the particular situation.