Artificial intelligence data analytics: In the era of artificial intelligence, most businesses are increasingly integrating artificial intelligence to drive meaningful insights to make strategic decisions. Businesses are offering innovative solutions for better optimising the data. Let us check out different AI tools to help with data analytics.
What is the use of AI in Data Analytics?
Artificial intelligence can be used to optimise data analytics by making data collection, processing, and visualisation more effective by providing various advanced tools to help perform various repetitive tasks. The use of AI tools can help save time by automating repetitive tasks.
It can also find undiscovered trends and gain insights based on data from various sources. In this article, we will learn about some of the best ways to make use of AI tools in carrying out data analytics.
Also Read: 10 Most Popular Big Data Analytics Tools
Artificial Intelligence and Data Analytics: Why Should We Use AI for Data Analysis?
Artificial intelligence can help in optimising and processing data at a very fast speed and accuracy. Due to no human interference chances of errors are very low. AI can help in managing risk management, ensuring security, automation, and efficiency, anomaly detection, enhanced personalised, extraction of insights, etc.
Artificial Intelligence and Data Analytics: Benefits of AI
AI is an emerging trending technology that helps to analyse and derive meaningful insights from a large volume of data. There are various benefits of AI, which are mentioned below.
- AI can help provide analysis more effectively and accurately and can process data faster than humans.
- With the help of advanced AI tools, data can be interpreted to identify various patterns and predict future trends. These tools can help make data-driven decisions, forecast, analyse customer behaviours, etc.
- With the help of AI tools and advanced algorithms cleaning and processing large sets of data became easy. Nowadays, various chatbots powered by AI are used to provide data-driven solutions and suggest effective alternative approaches for better data analysis.
- AI tools can help with automated data cleanup and preparation. With the help of advanced machine learning algorithms, it is easy to remove inconsistencies and find missing data automatically.
- With the help of AI, it is easy to find unusual patterns that can create malfunctions in our data analysis. Anomaly detection using AI can help in providing security features to provide a reliable data analysis result.
- AI can help provide personalised recommendations that can benefit e-commerce and online streaming platforms. It can track and analyse customer behaviours to present them with personalised recommended products and services to drive more engagement and user satisfaction.
- AI can present data in a visually compelling way by optimising charts, tables, and automated report generation. AI can be utilised to create reports automatically using advanced tools.
Also Read: Book About Data Analytics: Top 15 Books You Should Read
Top 5 ways to use Artificial Intelligence in Data Analytics
Let us check out some ways to integrate AI into data analytics below.
1. AI-Assisted Code Generation
Nowadays, there are various AI models and AI-powered IDE platforms that can help generate codes and debug. This can help remove repetitive tasks from data cleaning and analysis.
With the help of AI-powered IDEs, coding has become easier with automatic suggestions regarding suitable libraries and functions to use. Also, you can use AI to create automated comments for your code. AI can help you in completing the frequently used functions, libraries and keywords to avoid repetitive typing and much more. Some of the frequently used AI coding assistants are
- GitHub Copilot
- Jupyter AI
- Anaconda Assistant
- ChatGPT
- Polycoder
2. Creating Synthetic Data and Data Imputation
Synthetic data is going to be a big change in data analytics and machine learning. Future AI will be trained using artificially trained data using statistical modelling and various other simulation techniques.
These data will be manufactured artificially rather than generated by real events. It will be heavily used in developing machine learning models. Training datasets can be generated using various tools such as chatGPT, Gemini, Mostly AI, etc. With the help of AI, most of the missing data can be automatically filled with different optimised values quickly.
3. Creating Visually Compelling Dashboards
AI can easily be used to create interactive and dynamic dashboards. Various tools such as Tableau GPT, Mid Journey AI, Polymer BI, and Luzmo are used to create visually compelling reports and dashboards for user-friendly representations.
4. Insert Data from the picture
With the help of advanced AI tools, we can easily extract data from an image into a spreadsheet. AI can automate the process of data collection using images to save time and make the data collection process more effective and fast.
In Excel, there is “Insert picture from file” which can help you convert pictures into tabular data. This will help to save a lot of time and effort. Microsoft also allows inserting data from pictures. You can use GPT and Gemini modules to extract data easily.
5. Use Plugins and Extensions
There are many AI-powered plugins and extensions nowadays that can help you optimise your data, automate cleaning and preprocessing, and also carry out various repetitive tasks. Excel consists of plugin and extension options that can help you integrate various AI tools to optimize your data collection.
Various automated cleanup suggestions, whitespace removals, and data formatting options are available, which makes data analysis easy and effective with the help of AI.
Artificial Intelligence and Data Analytics: Future Trends
The emergence of artificial intelligence is giving rise to advanced tools and technologies that can help in optimising most of the repetitive human tasks. In the future, data analytics can be well integrated with artificial intelligence to automatically provide data-driven suggestions. With the advancement of AI, it can also help in dealing with various inconsistencies in data and make data processing and visualisation more effective.
AI would also be able to detect patterns more accurately to derive personalised recommendations and find malicious activities to protect user data from unauthorised access. AI tools are revolutionising business management, interpreting data to drive efficiency and insights.
Also Read: Applications of Big Data
List of Artificial Intelligence and Data Analytics Tools
Some of the artificial intelligence and data analytics tools are available for free in the market.
-
- Tableau GPT: It is used to automate analytics for collection and visualise the data.
- Coefficient: It is a free solution that automates connecting ChatGPT to Google Sheets.
- AnswerRocket: It is an AI tool used by business users to ask business questions in natural language. It can help to run reports and generate analysis without using any technical skills.
- Polymer: It is a polymer AI analytics that helps in data transformation into a presentable database code without the need for coding.
- Qlik Sense: It is a platform that allows users to explore advanced analytics with real-time calculations which present them with instant answers to queries. It helps users to develop, extend, and embed visual analytics in applications.
- MonkeyLearn: It is a no-coding platform that uses data AI to help users visualise and rearrange the data.
- Microsoft Power BI: It is a famous business intelligence platform used to extract insights from data and help visualise them.
- Microsoft Excel: It consists of various extensions and tools to integrate AI to help organise data, provide suggestions, and make analysis effective.
Learn Data Analytics with PW Skills
Start your career as a Data Analytic engineer with our Data Analytic Course completely covered by industry-level experts and updated resources. Get 100% placement assistance and industry-recognized certifications after completing the course. Know more only at @pwskills.com.
Artificial Intelligence and Data Analytics FAQs
How can AI be used in Data Analytics?
With the help of AI algorithms, patterns, trends, and anomalies can be detected easily in data. Also, there are various tools already available to automate major data analysis tasks. Check the list in this article above.
Which AI tools for data analysis?
Some of the best AI tools for data analysis are TableauGPT, Microsoft Power BI, Polymer, Akkio, MonkeyLearn, etc.
Can AI take over data analytics?
No matter how much AI models get improved they will never be able to replace humans for data analytics. The power of humans to make ethical judgments, emotional intelligence, strategic planning, and critical thinking ability are some of the attributes that can not be replaced by AI models.
Can ChatGPT be used for data analysis?
ChatGPT can be used to extract insights from datasets using NLP. It can help perform sentiment analysis, data-driven report generation, text summarization, suggestions, etc.
