Zigpoll - Survey & Feedback Platform ,Zenbase ,YoBulk ,yesBrain ,Yep.so ,Yabble ,Yadget ,xyzt.ai ,WorkViz ,Workki AI , are the best paid / free ai data analysis tools tools.
50K
12.7K
Gather feedback from customers and derive insights using Zigpoll's AI features and graphs.
18.8K
5.5K
WhyLabs platform enables MLOps with model and data monitoring for efficient issue detection and prevention.
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wesupplyAI provides machine learning subscriptions, enabling businesses to access AI technology without hiring a data science team.
3.2K
1.7K
Pivony improves customer experience through Voice of Customer Analytics.
10.4K
10.4K
AI-powered Value My Car accurately determines car value based on data analysis.
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Delivering unique off-market data using AI and research expertise
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TradeCalls is an AI trading advisor that provides guidance and recommendations for financial trading.
AI data analysis tools are software applications that leverage artificial intelligence and machine learning algorithms to automate and enhance the process of analyzing large datasets. These tools can identify patterns, extract insights, and make predictions based on the data, enabling businesses to make data-driven decisions more efficiently and accurately.
ai data analysis tools already has over 457 AI tools.
ai data analysis tools already boasts over 1711.7M user visits per month.
ai data analysis tools already exists at least 14 AI tools with more than one million monthly user visits.
| Core Features | Price | How to use | |
|---|---|---|---|
| Open Interpreter Project |
Code execution and task automation using language models. |
Open Interpreter can be used through a ChatGPT-like interface in your terminal. |
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| Koala |
Koala offers AI-powered writing and chatbot for SEO and content creators. |
To use Koala, simply sign up for an account on their website. Once registered, you can access both KoalaWriter and KoalaChat with a single subscription. KoalaWriter allows you to generate complete articles by providing a simple keyword prompt, and you can easily publish them to WordPress or other platforms. KoalaChat helps you with SEO-focused conversations and content creation, offering real-time data integration, on-brand voice options, and Google Sheets integration for seamless workflow. |
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| Grid.ai |
Democratizing AI research by focusing on ML, not infrastructure. |
To use Grid.ai, simply sign up on their website and follow the provided documentation and tutorials. |
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| GGPredict.io |
GGPredict.io is an esports analytics platform using AI to aid CS:GO players. |
To use GGPredict.io, simply register on the platform and start playing CS:GO matches. After each match, you will receive detailed stats and analytics to analyze your performance. GGPredict.io also offers personalized challenges based on your match performance to help you train smarter. Additionally, you can use the demo viewer to replay any match in 2D and better understand team strengths and weaknesses. |
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| PandaGPT |
PandaGPT simplifies file reading using the advanced OpenAI model. |
To use PandaGPT, you can join their Discord server to get the latest updates and support. Once connected, you can upload a file and ask any question related to its content. PandaGPT will generate a knowledge graph and provide answers to your queries. |
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| MyPaalBot |
Advanced AI bot for Telegram powered by GPT4. |
To use MyPaalBot, simply add it to your Telegram contacts and start interacting with it using the available commands. You can use /mypaal for insightful GPT4 interactions, /webpaal for internet exploration, and /coinpaal for crypto data analysis. |
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| AlTable.ai |
Turn tables into AI chatbots with one click. |
Using AlTable.ai is simple. Just upload your table data, select the desired chatbot features, and click a button to generate your AI-powered chatbot. |
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| Gooey.AI |
Gooey.AI simplifies AI with low-code environment, utilizing latest models to bring visions to life. |
To use Gooey.AI, sign up for an account and explore the available AI models and workflows. Users can create their own AI workflows by selecting and customizing pre-built components, or they can tweak existing workflows to suit their needs. Gooey.AI allows users to integrate AI capabilities into their websites or apps without the need for extensive coding knowledge. Users can also republish their solutions as APIs to make them accessible to others. |
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| Mito |
Mito is a tool that edits spreadsheet data and generates Python code. |
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| Rerun |
Rerun is an SDK for logging and visualizing computer vision and robotics data efficiently. |
To use Rerun, developers can log data to the Rerun SDK, which takes care of visualizing the data. Rerun handles live streams from multiple processes across the network and can also play back recordings. The Rerun Viewer creates configurable visualizations based on the logged data and allows users to scroll back and forth in time. Users can toggle between different timelines, such as log time and sensor time, to explore the data in multiple ways. |
Gather feedback from customers and derive insights using Zigpoll's AI features and graphs.
Unleash your data's potential.
YoBulk: an open-source, scalable, AI-powered CSV importer simplifying data cleaning and onboarding.
A marketing analyst uses an AI data analysis tool to segment customers based on their purchasing behavior and preferences, enabling targeted marketing campaigns.
A financial analyst employs an AI tool to detect fraudulent transactions in real-time, reducing financial losses and improving security.
A healthcare researcher utilizes an AI data analysis tool to identify potential drug candidates based on molecular structure and bioactivity data.
A marketing analyst uses an AI data analysis tool to segment customers based on their purchasing behavior and preferences, enabling targeted marketing campaigns.. A financial analyst employs an AI tool to detect fraudulent transactions in real-time, reducing financial losses and improving security.. A healthcare researcher utilizes an AI data analysis tool to identify potential drug candidates based on molecular structure and bioactivity data.
{/if]Increased efficiency and speed of data analysis
Improved accuracy and reliability of insights
Ability to handle large and complex datasets
Identification of hidden patterns and relationships
Automation of routine analysis tasks
