The immense capabilities of big data are in the forefront now, but when put to use combining Artificial Intelligence (AI) and machine learning the opportunities double. Big data being a full-grown technology, organizations are now seeking ways to merge AI to reap the accelerated business value.  With the promising convergence of AI and big data, firms can have access to silos of structured and real-time data. Data scientists and statisticians get the liberty and convenience not to depend on the sample data in their researches; instead, they can now utilize big data with AI to import large and granular data for extended, accurate results. The combination aids in the creation of an environment that facilitates data discovery through the process of iteration. As a result, today's data-driven business can seamlessly get involved in experiments and deliver more adequate results.

Metlife is reaping the advantages of AI and big data by leveraging them in its operations. Pete Johnson, one of the thought leaders in the AI and Big Data field is the reason behind it. After implementing AI and big data, Metlife's machine learning escalated, as big data boosted the development of scaled-up algorithms. 

Big data in association with AI empowers enterprises to process huge volumes of data in a shorter period. Using big data firms can transform data silos into meaningful large datasets, which was previously not possible. AI and machine learning act as a catalyst in this process. These datasets, in return, enables the organization to move forward with greater access to things like transcription, ICR, image and voice files, logistics data and weather data. Thereby, to drive businesses towards success, organizations that are heavily dependent on data must leverage AI and big data.