Data Analytics Using AI
The article talks about:
1)???What modern AI can do in Data Analysis.
2)???Why is AI needed for data analysis?
3)???How is AI used for Data Analysis?
4)???What is AI Text analytics and Natural language processing?
5)???What are AI Predictive Analysis?
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In a nutshell, AI is the technology that allows machines to mimic human brain functions such as learning, problem solving, reasoning, and decision making. Then AI can independently extract ideas and patterns from large data sets and make predictions based on that information.
AI makes it possible for computers to learn from experience, adapt to given parameters, and perform tasks that humans cannot. ?Ai experts state that computing power doubles every 18 months. If this trend continues, AI will reach the capacity of the human brain by 2025.?These experts believe that at some point, AI will overtake the human brain.
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???????????????????????????????Why is AI needed for data analysis?
The main reason why AI and Big Data have become inseparable is that AI is useless without data and data management is impossible without AI. AI can identify data types, find possible relationships between data sets, and recognize knowledge using natural language processing.
You can use it to automate and speed up data preparation tasks like creating data models and exploring data at the same time.
AI is a fast learner. They can observe how the user interacts with the analytics program and quickly generate unexpected ideas from huge data sets. This fast-developing technology detects subtle differences in values or context sensitive nuances to help users better understand numerical data sources.
A recent study shows that a combination of AI and Big Data can automate nearly 80% of manual processes, 70% of data processing work, and 64% of data collection tasks.??????????????????????????????????????
?????????????????????????????How is AI used for Data Analysis?
Analysis AI analytics refers to a subset of business intelligence that uses machine learning techniques to uncover ideas, discover new patterns and establish relationships in data and practice.
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???What is AI Text analytics and Natural language processing?
NLP (Natural Language Processing) is how a program understands data and makes sense of it. Text mining reveals facts, relationships, and statements using a variety of NLP techniques.
Text – NLP extracts relevant or essential words and phrases from unstructured data.
Next comes Text Classification, which automatically assigns predefined tags or groupings to words or phrases.
Sentiment analysis determines whether the sentiment is positive or negative.
????????????????????????????????????????????What are AI Bots?
AI bots are programs that independently extract the data they need to answer a question or solve the problem. Even if they need to browse multiple data repositories, once they have the information they need, they determine which business Intelligence tool boxes are necessary. ????????????????????????????????
???????????????????????????????What are AI Predictive Analysis?
To organize the data and generate predictive and prescriptive business ideas, AI makes predictions. Predictive analytics is one of the stages in the evolution of AI. More traditional business intelligence applications focus on what happened and why. Predictive analytics answers the question what is going to happen.
AI systems for data analysis are more accurate at predictions because they access huge amounts of data. They have enough processing power to make more predictions, and machine learning detects patterns and biases and all kinds of data and constantly learns from them.
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In conclusion, AI analytics harnesses the power of AI to process and analyze data, enabling organizations to gain valuable insights, make informed decisions, and enhance various aspects of their operations across diverse industries. Its potential impact is significant, but it necessitates careful consideration of ethical, technical, and practical factors for successful implementation.
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