Technological advancement across various fields has led to the generation of a massive amount of data each day at every minute. It is really a tough challenge to manage such mammoth data with skills within the purview of human capabilities. This is the reason why Big Data has come into the picture. Big Data helps to manage immeasurable data generated worldwide in a systematic and efficient manner. Artificial intelligence (AI) is the advanced and highly enhanced version of human intelligence employed to perform extremely complex tasks in an easy, faster and error-free manner with the use of technologies like Machine Learning.
Big Data plays a vital role in implementing AI. Earlier there used to be smaller samples of data which could be easily managed in businesses. However, in the current competitive market, there can be no way other than Big Data to manage the exorbitantly increasing amount of data. Big Data technologies like Hadoop often need to employ AI for a wide number of possibilities.
Identifying the Most Important Parts of Huge Chunks of Data
There are so many things that can be achieved by utilizing Big Data. However, it is not easy to dig out every important part of the whole segment of the enormous data manually. As human beings are prone to making mistakes, we may simply miss out on major parts of data that can be utilized in business. AI helps to automatically trace out all the important parts by identifying the data patterns and the requirement patterns. Thus, AI helps to make sense out of Big Data.
Identifying New Opportunities
AI can automatically identify hidden opportunities within large chunks of data. Automated implementation of such opportunities is also possible with AI.
By identifying the major areas in Big Data and realizing opportunities, AI helps businesses to experience automated, unbiased and unambiguous decision making which in turn leads to successful outcomes.
Big Data and NLP
With versatile dialects and languages, human voice data sets produce a colossal amount of data. Big Data analyzes these oceans of data sets and AI and Machine Learning process them using Natural Language Processing (NLP).
AI also helps to process huge data generated from images, graphs, charts, etc.
Open Source Tools
Open source tools like Apache Spark help to integrate AI seamlessly into Big Data to deliver swift, real-time and cost-effective results.
As soon as the data is created, it is ready to be utilized in the business process and harnessed automatically for innumerable purposes using AI.
Managing in Cloud and IoT
IoT infrastructures and cloud frameworks require constant interaction and exchange of a massive amount of data. It is hardly possible for traditional DBMS systems to seamlessly manage such a tremendous amount of data. Such huge data may lead to problems like system crashes and slowing down of systems. Analysis and management of huge data within a limited number of devices are only possible with Big Data. Implementation and optimized utilization of the analyzed data in the most cost-effective and error-free way is possible with Artificial Intelligence.
Thus, the juxtaposition of Big Data and AI aims to witness a bright future ahead with ample opportunities. More and more data will be generated, and a time may come when the entire system will go automated with AI and Machine Learning. Since speed and money are two of the most vital aspects of any business, from data input analysis to final data processing, everything has to be achieved as fast as possible in a cost-effective way in order to survive in the competitive market. Thus, it is becoming inevitable for every modern business to implement Big Data and AI.