ABSTRACT
In day-to-day life, data plays a vital role, and it transforms from information to knowledge, wisdom also provides an opportunity in digital technology. All firms that want to accomplish this ambidexterity should depend on data as a fundamental resource for their operations and create data-driven business models. Applying several functions to the data, such as collecting, analyzing, and displaying it while utilizing all levels of knowledge can help build new products and customers, and reach goals at the appropriate moment. Due to the large volume of data increasing drastically, handling data is crucial for humans. Artificial intelligence allows machines to mimic human brain functions and is also used to identify data types, find relationship between datasets, and recognize knowledge. It also performs explore data, speed up data preparation, automation, and creation of data models. AI in data analytics can uncover ideas, discover new patterns and establish new relationship among the data. NLP plays an important role in data analytics for extracting data, text classification based on the keyword, sentiment analysis, and also AI predictions are accurate, because of access to huge amounts of data, enough power of data, and ML detects patterns and learns. Data wrangling is the process of handling complex data, involving various operations such as discovering, structuring, cleaning, validating, and also enriching the data for betterment. AI is giving the best solution for data wrangling and analytics in various domains, such as marketing, business, healthcare, banking, finance, etc.
