Artificial intelligence (AI) is changing how we look at and understand data. Here are some important ways AI will improve data visualization:
AI can look at large amounts of data and find important information on its own. A study by Gartner says that 80% of data scientists will spend more time getting data ready, which means there's a big need for tools that can do this automatically. AI can make data cleaning and preparation easier and faster—up to 70% quicker! This way, data workers can focus more on how to show the data instead of spending too much time on preparation.
AI is really good at finding patterns in complicated data. For example, it can study how people shop online and find trends that human workers might miss. A study by McKinsey found that companies using AI for data analysis are 23 times better at winning new customers, 6 times better at keeping them, and 19 times more likely to make money.
AI can change how data is shown based on what each user likes or needs. For example, an AI dashboard can highlight data that matters most to a specific user. This makes it more likely for users to engage with the data. In a survey by Tableau, 57% of businesses said they were already investing in AI to make data presentations better for users.
Using NLP with data visualization lets users ask questions about data in everyday language. This makes it easier for anyone, even those without technical skills, to create data visualizations. A survey from Forrester Research suggests that by 2024, 50% of business users will use NLP to work with data directly.
AI can analyze data in real-time and make predictions, which helps companies make better decisions. According to Deloitte, companies that use these features can see their revenue grow by up to 20%. With AI, businesses can forecast future trends more accurately, which supports better planning.
In conclusion, AI has the power to improve how we visualize data. By automating tasks, allowing advanced analysis, personalizing experiences, using natural language, and providing real-time insights, AI is driving efficiency and new ideas in the world of data science.
Artificial intelligence (AI) is changing how we look at and understand data. Here are some important ways AI will improve data visualization:
AI can look at large amounts of data and find important information on its own. A study by Gartner says that 80% of data scientists will spend more time getting data ready, which means there's a big need for tools that can do this automatically. AI can make data cleaning and preparation easier and faster—up to 70% quicker! This way, data workers can focus more on how to show the data instead of spending too much time on preparation.
AI is really good at finding patterns in complicated data. For example, it can study how people shop online and find trends that human workers might miss. A study by McKinsey found that companies using AI for data analysis are 23 times better at winning new customers, 6 times better at keeping them, and 19 times more likely to make money.
AI can change how data is shown based on what each user likes or needs. For example, an AI dashboard can highlight data that matters most to a specific user. This makes it more likely for users to engage with the data. In a survey by Tableau, 57% of businesses said they were already investing in AI to make data presentations better for users.
Using NLP with data visualization lets users ask questions about data in everyday language. This makes it easier for anyone, even those without technical skills, to create data visualizations. A survey from Forrester Research suggests that by 2024, 50% of business users will use NLP to work with data directly.
AI can analyze data in real-time and make predictions, which helps companies make better decisions. According to Deloitte, companies that use these features can see their revenue grow by up to 20%. With AI, businesses can forecast future trends more accurately, which supports better planning.
In conclusion, AI has the power to improve how we visualize data. By automating tasks, allowing advanced analysis, personalizing experiences, using natural language, and providing real-time insights, AI is driving efficiency and new ideas in the world of data science.