Big data is the collection of diverse sets of information which are produced in large volumes and have to be processed at speed. The collected data are analyzed to understand current trends, patterns and make the critical prediction. The potential of big data can’t be bounded. When large data sets are accumulated, they need to be analyzed efficiently and adequately. Big data cannot be handled by the human workforce.

Artificial Intelligence revolves around an artificially created entity performing or thinking similar to humans. The technology is complex, and algorithms are effectively facilitating the making of critical decisions by machines. Machine learning is considered as an advanced version of AI, in which machines learn through algorithms. Organizations’ worldwide increasingly turning to AI and machine learning is making the picture clearer of what it takes to be successful with real-world AI. The combination of data science, machine learning tools, and machine learning platforms are fueling the trend of opting AI strategies more. Big data and AI are the two modern technologies which convert the way of working.

Big data and AI: Almost every organization today has big data, and it is necessary to preserve the data. Traditional computing systems are not able to handle big data. Here AI came. AI exists from more than a decade, but big data came into existence a few years ago.

 AI has machine learning capabilities and creates robots which take the place of human jobs. Machines take decisions from facts but cannot involve emotional interaction, but due to big data, scientists involve their emotional intelligence and take decisions. Increasing proliferation of big data analysis into AI procedures is making machines smarter and perform better.

Big data’s role in AI: Big data doesn’t act on results. It only defines large and varied sets of data and is primarily about gaining data insights, and machine learning algorithms learn to reproduce a specific behavior. While AI does not deduce conclusions as human, it learns through error and requires the massive amount of data to reach the AI. The more data an AI application has, the more the accurate outcome the application achieves.  

AI and big data analytics are two the most promising technologies that can transform the way of doing business, learning, medicine. No industry succeeds by not enhancing AI and big data. And understanding the inter-dependence of these two technologies is where the success lies.