Overview
- Build and deploy accurate AI models in minutes without writing code, using automated machine learning for classification, regression, and time series
- Integrate live predictions directly into your applications and workflows, using the REST API for real-time decision-making
- Automate critical business processes based on prediction probabilities, using Zapier integration to trigger actions when thresholds are met
- Visualize prediction results within your existing dashboards, seamlessly integrating data with tools like PowerBI and Looker for clearer insights
- Access a dedicated data scientist for complex tasks like data merging, enrichment, and cleaning, ensuring your data is always model-ready
- Monitor model performance automatically and receive alerts on accuracy drift, maintaining prediction reliability over time
Pros & Cons
Pros
- No-code platform
- Quick model creation
- Automated model building
- Model deployment
- Model monitoring
- Integration and sharing capabilities
- Expert 24/7 support
- Offers Classification, Regression, Time series
- Real-time predictions via API
- Supports various forms of prediction
- Real-time API Integration
- Data visualization
- Process automation capabilities
- Supports data cleaning
- Supports data merging
- Supports data enrichment
- Powerful prediction modeling
- Dedicated data science expert support
- Integrates seamlessly with Zapier, Airtable, Dropbox, and Salesforce
- Model generation in a single click
- Models can be built and deployed directly
- Saves considerable time compared to traditional coding methods
- Impactful use-case range (churn, lead conversion, loan repayment, fraud, etc.)
- Shares dynamic model use link in real-time
- Automatic model monitoring
- Instant web app creation
- Process automation with Zapier
- Data encryption and security
- Provides Robotic Process Automation
- Try for free feature
- In-house model building time-saving
- Running Data Science in just a single click
- Learn More feature for detailed case studies
- Integrated with PowerBI, Looker for data visualization
- Turn any raw data into predictive models quickly
- Saved 200K hours of users time monthly
- Automated model building within minute
- Tabular data predictions
- Values prediction down to a specific date
- Easy tool onboarding
- Analysts onboarding possible within few hours
- No Programming Knowledge required
Cons
- Limited to three model types
- No code might limit customization
- Dependence on dedicated support
- Requires third-party tools for advanced analytics
- Lack of explicit training offerings
- Might not be suitable for complex data
- High reliance on API for functionality
- Integration limited to specific platforms
- Speed might compromise model quality
- Unclear data security measures
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❓ Frequently Asked Questions
Obviously AI is a no-code data science platform. It allows users to quickly and easily create machine learning models without any prior knowledge of machine learning or programming. It supports automated model building, model deployment, model monitoring, integration, sharing, and comes with expert support.
Obviously AI harnesses sophisticated machine learning algorithms to build prediction models. With this platform, no coding is necessary because it takes care of all the algorithm development and implementation. You simply need to select the dataset and the prediction you need, and Obviously AI will generate a predictive model within minutes.
Obviously AI offers three main types of models that include classification, regression, and time series models. Classification models are for predicting categorical outcomes, regression models for continuous outcomes, and time series models for the prediction of a number considering the dimension of time.
You can use Obviously AI for predictive modeling by inputting your dataset and choosing what you want to predict. The platform will automatically build an AI model to make such predictions. These models can predict churn, sales, dynamic pricing, yield, deal size, and more depending on the type of model.
With Obviously AI's classification models, you can make predictions concerning churn, lead conversion, loan repayment, and fraud.
Yes, Indeed. You can use Obviously AI's regression models to predict sales or yield.
Time series models from Obviously AI can be employed to predict a number based on a given time, such as sales in six months or stock price tomorrow.
One major feature of Obviously AI is instantaneous model deployment. You can build an AI model and it will become immediately available for you to use. It will generate a dynamic link that allows you to use the model in real time.
On Obviously AI, model monitoring is automated. You can keep track of the performance of your AI models and set automations based on prediction probabilities.
Yes, you can integrate Obviously AI into your apps. The platform provides a REST API, allowing you to make predictions on the fly by integrating AI into your applications.
Obviously AI provides expert support to users. Each user has 24/7 access to a dedicated data scientist who can help with a variety of tasks including data merging, enrichment, and cleaning.
Yes, Obviously AI offers help with data cleaning and data enrichment as part of its comprehensive expert support.
Obviously AI can be integrated with a variety of tools such as Zapier, Airtable, Dropbox, and Salesforce to enhance your services.
Obviously AI helps with data visualization by letting you integrate prediction data into your existing tooling like PowerBI, Looker, etc. This helps in better understanding and interpretation of the prediction results.
Obviously AI's API enables you to make real-time predictions, allowing you to integrate AI into your apps or visualize prediction data. It allows you to easily deploy your machine learning models across different platforms.
Yes, you can share your models created on Obviously AI. The platform provides dynamic links for immediate model use in real time. These links can be shared with others to use your model.
Absolutely. Obviously AI can help automate your processes. It offers automation capabilities with tools like Zapier, allowing you to set up 'if-this-then-that' automation based on prediction probabilities.
Process automation in Obviously AI involves setting up automated responses to events. For instance, if the prediction probability crosses a certain threshold (say 80%), an automatic action can be taken. This is facilitated by integration with automation tools like Zapier.
Yes, you can predict specific values using Obviously AI's selection of models. This includes categorical outcomes with classification models, continuous outcomes with regression models, and time-specific outcomes with time series models.
In addition to creating machine learning models, Obviously AI assists with several statistical tasks. Under expert support, a dedicated data scientist can help with data merging, enrichment, cleaning, and other necessary statistical tasks.
Pricing
Pricing model
Freemium
Paid options from
Free tier available
Billing frequency
Monthly
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