Customer 360
Data Cloud
Einstein AI
Low Code Development
Security & Privacy
Automation
Integration
Analytics
Best 1026 Data Tools in 2025
G-Data Screen Data, Data Hivemind, FPL Optimization AI, Instant Data Scraper, Open Data Science, Crayon Data, Legal Data, DataNormalizer, By the Numbers, Peaka are the best paid / free Data tools.
Astor.ai Data Entry
Automatically converts invoices/receipts into accounting data using AI analysis.
F
Finned-tech
AI-powered platform for finance, betting analysis, and digital billboard optimization.
Seek AI
AI-powered data analytics platform with a natural language interface for real-time insights.
Moonbeam Exchange
Data science platform and consulting firm for innovation and economic development.
What is Data?
Data is a collection of facts, such as numbers, words, measurements, observations, or just descriptions of things. In the context of computing and AI, data is information that has been translated into a form that is efficient for processing. Data can exist in a variety of forms, including structured data (like databases), unstructured data (like text), and semi-structured data (like XML or JSON). The effective use and analysis of data is the cornerstone of artificial intelligence and machine learning.
What is the top 10 AI tools for Data?
Core Features
|
Price
|
How to use
| |
|---|---|---|---|
Salesforce Platform |
Platform Starter $25/user/month Includes custom objects, process automation, Lightning App Builder, AppExchange, identity for employees, and customizable reports and dashboards.
| Explore the Salesforce Platform to build, customize, and secure Agentforce and AI apps. Utilize low code tools, integrate systems, automate processes, and connect data securely. Start a trial to experience Salesforce Platform Services for 30 days. | |
Claude | Natural language interaction for task assistance | You can talk to Claude, an AI assistant from Anthropic, and instruct it in natural language to help you with many tasks. | |
Salesforce CN | Customer Relationship Management (CRM) | Salesforce CN can be used by companies operating in China to manage customer interactions, sales processes, and customer service. It requires establishing a multi-organization architecture and migrating data using Salesforce's API tools and SI partners. The platform offers various cloud services, including Sales Cloud, Service Cloud, and Platform Cloud, tailored for the Chinese market. | |
Prolific | Access to a verified and engaged participant pool | Pricing Varies Our response-based pricing is based on a minimum hourly reward for participants + a flat platform fee – which is less for academics and non-profits. | Researchers can sign up, set up tasks or studies on the self-serve platform, define their target audience from a pool of 200k+ active participants, and launch their research. Participants can sign up to take part in interesting tasks and earn cash. |
DataCamp | Interactive courses and coding challenges |
Basic Free Every first chapter free, Free professional profile and job board access
| Users can sign up for a free or paid account, choose courses or skill tracks based on their interests and skill level, and complete interactive exercises, coding challenges, and projects directly in their browser. The platform tracks progress and offers certifications upon completion. |
Branded | Access to niche research audiences | To use Branded, you can create research projects using your own tools or a third-party service. Branded's algorithms will then send qualified research participants to your study. You can access niche target audiences through strategic recruiting and advanced profiling. Finally, you'll receive insights vetted by AI to help make informed business decisions. | |
iAsk.Ai | Free AI search engine | Users can ask questions in natural language and receive detailed, accurate responses. Simply type your question into the search bar and iAsk.Ai will provide an answer. | |
Notta | Automatic transcription of audio to text |
Free 0円 No credit card required, 1 account only, Transcription time: 120 minutes/month, AI Summarization: 10 times/month
| Notta automatically transcribes audio from interviews, business meetings, seminars, and more, automatically extracting and summarizing key points. Users can start for free and compare free and paid features to experience Notta's capabilities. |
Gong | Capture customer interactions | Gong captures customer interactions, analyzes them using AI, and provides insights to sales teams. Users can book a demo or request pricing to get started. The platform offers features for coaching, forecasting, deal execution, and more. | |
Julius AI | AI Data Analysis | Upload your data file (CSV, XLSX, PDF), ask questions about the data, and Julius AI will analyze the data and provide results in charts, tables, or reports. |
Newest Data AI Websites
Econodata is a big data platform that helps sales teams find leads and market opportunities.
AI Lead Generation
AI Sales
AI Sales Assistant
AI Data Mining
Browser extension for one-click web scraping and AI-powered data extraction.
AI Web Scraping
AI Assistant
No-Code&Low-Code
Data Core Features
Data serves as the input for AI and machine learning models
Data is used to train and validate AI models
Data helps in making informed decisions and predictions
Data can be structured, unstructured, or semi-structured
What is Data can do?
Healthcare: Data is used to develop AI models for disease diagnosis, drug discovery, and personalized treatment plans
Finance: AI algorithms analyze financial data to detect fraud, predict market trends, and automate trading decisions
Retail: Data-driven AI helps in customer segmentation, product recommendations, and supply chain optimization
Manufacturing: AI models use sensor data to predict equipment failures, optimize production processes, and improve quality control
Data Review
Users and experts alike emphasize the critical role of data in AI and machine learning. They highlight the importance of high-quality, diverse, and relevant data for training accurate and robust AI models. Some common challenges mentioned include data privacy concerns, the need for efficient data storage and processing infrastructure, and the ongoing requirement for data maintenance and updates. Overall, the consensus is that effective data management is essential for the success of AI projects.
Who is suitable to use Data?
A user interacts with a recommendation system that suggests products based on their browsing and purchase history
A chatbot powered by natural language processing uses data to understand and respond to user queries
A smart home device learns user preferences based on data collected from sensors and user interactions
How does Data work?
To use data effectively in AI and machine learning, follow these steps: 1. Data Collection: Gather relevant data from various sources. 2. Data Cleaning: Remove inconsistencies, errors, and missing values from the data. 3. Data Exploration: Analyze the data to gain insights and understand patterns. 4. Data Preprocessing: Transform the data into a format suitable for the AI model. 5. Model Training: Use the preprocessed data to train the AI model. 6. Model Evaluation: Assess the performance of the trained model using validation data. 7. Model Deployment: Apply the trained model to make predictions on new, unseen data.
Advantages of Data
Data-driven decision making
Improved accuracy in predictions and forecasting
Automation of complex tasks
Identification of hidden patterns and insights
Personalization of user experiences
FAQ about Data
- What is the difference between structured and unstructured data?
- Why is data cleaning important?
- What is data preprocessing?
- How much data is needed to train an AI model?
- What is the role of data in AI model evaluation?
- Can AI models learn from unstructured data?