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Obviously AI

One-click data science tool for outcome prediction.
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Monthly Traffic:

60398

What is Obviously AI?

Obviously AI offers a platform for data science without requiring coding skills. It aims to help users quickly transition from raw data to industry-leading predictive models within minutes instead of months. The platform allows users to build AI models using just a few clicks, eliminating the need for lengthy DevOps processes to put models into production. Additionally, it provides automatic model monitoring and integration with services like Zapier for automated actions based on prediction probabilities. Users can also share models through instant web apps and visualize prediction data in various tools like PowerBI and Looker. A dedicated data scientist is available 24/7 to assist with data merging, enrichment, cleaning, and other statistical tasks. The platform has been praised for its ease of use, speed, and ability to save significant time and resources compared to traditional data science methods.

 


 

⚡Top 5 Obviously AI Features:

1. No-code AI models: Build industry leading predictive models in minutes without writing code.

2. Instant web apps: Share dynamic links to use the model in real time, bypassing months of DevOps work for getting a model into production.

3. Automatic model monitoring: Combined with if-this-than-that automations using Zapier for automated actions based on prediction probabilities.

4. Prediction integration: Make predictions on the fly by integrating AI into your apps or visualize prediction data into existing tooling like PowerBI and Looker.

5. Dedicated data scientist support: Get 24×7 access to a dedicated data scientist who becomes an extension of your team, helping with data merging, enrichment, cleaning, and other statistical work.

 


 

⚡Top 5 Obviously AI Use Cases:

1. Predicting churn: Identify customers at risk of leaving and take proactive measures to retain them.

2. Lead conversion: Optimize sales processes by predicting the likelihood of converting leads into customers.

3. Loan repayment: Assess creditworthiness and predict loan repayment probabilities to make informed lending decisions.

4. Fraud detection: Detect fraudulent activities in real time, reducing financial losses for businesses.

5. Predictive pricing: Make data-driven pricing decisions by predicting prices in real time, helping increase profits by up to 4-5% every week.

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