Through recent development internet world can now provide a level of concrete information about consumer habits, likes and dislikes, activities, and personal preferences that was impossible a decade ago. In fact,  Social media accounts and online profiles, social activity, product reviews, tagged interests, “liked” and shared content, loyalty/rewards apps and programs, and CRM (customer relationship management) systems all add potentially insightful data to the big data pool. Collecting consumer information Regardless of the industry, one of AI’s greatest asset is its learning ability. Its ability to recognize data trends is only useful if it can adapt to changes and fluctuations in those trends. Through identifying outliers in the data, AI knows what pieces of customer feedback are significant and can adjust as necessary. AI’s ability to efficiently work with data analytics is the primary reason why artificial intelligence and big data are now seemingly inseparable. AI machine learning and deep learning are pulling from every data input and using those inputs to generate new rules for future business analytics. Problems arise, however, when the data being used is not good data. Business analytics According to Forbes, the most recent research states that a combination of AI and big data can automate nearly 80% of all physical work, 70% of data processing work, and 64% of data collection tasks. I.e. This suggests that the two concepts have the potential to tremendously affect the workplace. Moreover, in addition to their contributions to marketing and business efforts. Fulfillment and supply chain operations, for instance, are both particularly reliant on data, so they’re turning to the developments within AI to provide real-time insights on customer feedback. Through this, businesses can form their finances, strategies, and marketing around the flow of new information. Essentially, there must be an agreed-upon methodology to data collection (mining) and data structure before running the data through a machine learning or deep learning algorithm. This is where professionals with degrees in business data analytics come in. They will be highly prized by companies that are serious about getting the most out of their data analytics.