Getting Started with AI: Define, Collect, and Build
Starting your AI journey? Begin with a clear goal:
Define Your Objective
- What do you want to predict or understand?
Examples: Product demand forecasting, customer churn prediction, fraud detection, price optimization, content recommendation, or market segmentation.
- Why does it matter?
Consider the business impact: Reducing costs, increasing revenue, improving efficiency, enhancing customer satisfaction, or mitigating risks.
- Do you have data?
Identify relevant data sources like transaction records, customer interactions, sensor readings, logs, or survey responses.
Data Guidelines
- Upload a clean tabular dataset in CSV or Excel format
- Ensure data is properly structured with labeled columns
- Remove duplicate entries and incorrect values
- Include at least 100 samples for meaningful analysis
- Consider including date ranges that capture business cycles
Additional Documentation (Optional)
To help us better understand your needs, consider uploading a document (.doc/.docx/.pdf) with:
- Detailed description of your business problem
- Explanation of data fields and their significance
- Any specific questions you hope to answer
- Target outcomes and how you'll measure success
- Relevant business context and constraints
Upload your dataset and optional documentation below to get started.
Upload a File
⚠️ Warning:
Please do not upload files containing sensitive or personally identifiable information (PII). All uploaded data should comply with your organization's data privacy policies.
Your Uploaded Files
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Welcome to Galvia AI Portal
Start your AI journey
Getting Started
- Sign in with your email or Google account for secure access
- Upload your data in CSV or Excel format
- Define your goals using our guided process
Don't have an account? Register here
What You Can Build
Demand Forecasting
Customer Segmentation
Anomaly Detection
Price Optimization
Churn Prediction
Recommendation Engine