Overview

Obviously AI is a no-code tool designed to simplify the process of data science. It packs in the functionalities of machine learning model building, explaining results, and predicting outcomes, all within a single interface.

Models can be built and deployed directly from the platform in minutes, saving considerable time compared to traditional coding methods. It supports various forms of prediction including classification for factors such as churn, lead conversion, and loan repayment, regression for outcomes like sales, dynamic pricing, and yield, and time series for predicting quantities over time such as sales in the coming months or stock prices.

The tool's features extend beyond model building. It enables quick deployment of AI models, real-time API integration for making predictions on the fly in apps, visualization of prediction data in other tools like PowerBI or Looker, automated model monitoring, and powerful process automation capabilities via Zapier.

The software also includes the support of a dedicated data science expert to assist with team needs such as data merging, enrichment, cleaning and other statistical tasks.

Furthermore, users can integrate Obviously AI with other tools such as Zapier, Airtable, Dropbox, and Salesforce to enhance their services.

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Initial release

October 4, 2022

Initial release of Obviously AI.

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Pros and 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

View 37 more pros

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

View 5 more cons

Q&A

What is Obviously AI?

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.

How does Obviously AI work without requiring any coding?

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.

What are the main types of models provided by Obviously AI?

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.

How can I use Obviously AI for predictive modeling?

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.

What are some of the specific predictions that can be made using Obviously AI's classification models?

With Obviously AI's classification models, you can make predictions concerning churn, lead conversion, loan repayment, and fraud.

Can I use Obviously AI to predict sales or yield?

Yes, Indeed. You can use Obviously AI's regression models to predict sales or yield.

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What can be predicted using Obviously AI's time series models?

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.

How does model deployment work in Obviously AI?

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.

How can I monitor my models in Obviously AI?

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.

Can I integrate Obviously AI into my applications?

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.

What kind of support is provided by Obviously AI?

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.

Does Obviously AI offer help with data cleaning and enrichment?

Yes, Obviously AI offers help with data cleaning and data enrichment as part of its comprehensive expert support.

What are some of the tools I can integrate Obviously AI with?

Obviously AI can be integrated with a variety of tools such as Zapier, Airtable, Dropbox, and Salesforce to enhance your services.

How does Obviously AI assist with data visualization?

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.

How can I leverage Obviously AI's API?

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.

Can I share my models created on Obviously AI?

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.

Does Obviously AI help me automate my processes?

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.

What is process automation in Obviously AI?

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.

Can I predict specific values using Obviously AI?

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.

What other statistical tasks can be done using Obviously AI?

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.

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