Obviously AI

What is Obviously AI?

Obviously AI is a really user-friendly platform designed to make the complex world of data science much simpler. It is a one-click solution for building machine learning algorithms, understanding what they tell you, and making predictions – all without needing to write a single line of code. It’s packed with tools to help you prepare your data, train your models, and see how well they’re performing. What really sets it apart, though, is its ability to explain the insights your models uncover, making them easy for anyone to grasp.

Who created Obviously AI?

The Minds Behind Obviously AI:

• Founders: Nirman Dave and Tapojit Debnath are the co-founders who brought Obviously AI to life.
• Company Details: Obviously AI is a B2B startup focused on predictive analytics, based right in San Francisco, CA. Their main goal is to give non-technical business analysts the power to quickly run predictions using historical data, which ultimately leads to smarter business decisions.

What is Obviously AI used for?

Obviously AI is incredibly versatile and can be used for a wide range of tasks:

• Time Series Prediction: Forecasting future values based on historical time-stamped data.
• Classification: Predicting which category something belongs to. This includes things like figuring out if a customer will churn, if a lead will convert, if a loan will be repaid, or if a transaction is fraudulent.
• Regression: Predicting a specific numerical value. Examples include forecasting sales figures, setting dynamic prices, estimating crop yield, or predicting deal size and costs.
• Building Models: Creating AI models quickly and easily, all without needing to code.
• Deploying Models: Getting your AI models ready for use in production with just one click.
• Robotic Process Automation (RPA): Using AI to automate repetitive tasks.
• Integration & Sharing: Connecting your AI models to other applications using real-time REST APIs.
• Expert Support: Getting help from dedicated data scientists for tasks like merging data, enriching it, cleaning it up, and performing statistical analysis.
• Predictive Analytics: Using advanced algorithms to forecast trends, spot patterns, and make accurate predictions about the future.
• Collaboration: Working together with your team on projects, sharing your work, and getting feedback.

To break it down further:

• Classification tasks help predict things like customer churn, lead conversion rates, loan repayment likelihood, and fraud detection.
• Regression tasks are used for predicting sales numbers, dynamic pricing, yield, deal size, and costs.
• Time Series analysis is perfect for predicting a number over time, such as sales in the next six months or a stock price tomorrow.
• Model Building lets you create powerful AI models in minutes, not months.
• Model Deployment means you can get your AI models live in production with a single click.
• Model Monitoring offers automatic checks on your models, plus automations like ‘if-this-then-that’ using Zapier.
• Integration & Sharing uses real-time REST APIs to embed AI into your apps or display prediction data in your existing tools.
• Expert Support gives you access to data scientists who can help with data merging, enrichment, cleaning, and statistical work.
• Predictive Analytics leverages advanced algorithms to forecast trends, identify patterns, and make accurate predictions.
• Collaboration provides a space to share projects, work together, and give feedback.

Essentially, you can use it for predicting churn, lead conversion, loan repayment, or fraud; forecasting sales, dynamic pricing, yield, deal size, or costs; and predicting numbers over time like sales or stock prices. You can build models in minutes, deploy them with one click, and even automate processes with AI-powered RPA and Zapier integrations. Sharing predictions via REST APIs and getting expert data scientist support are also key benefits, making it a comprehensive tool for data-driven decision-making.

Who is Obviously AI for?

Obviously AI is designed for a variety of users who work with data:

• Data scientists
• Business analysts
• Citizen Data Analysts
• Non-technical business analysts
• Data Analysts

It’s particularly helpful for those who need to make predictions but don’t have a deep coding background.

How to use Obviously AI?

Getting started with Obviously AI is straightforward. Here’s a simple step-by-step guide:

1. First, head over to the Obviously AI website and sign up for an account. It’s a quick process.
2. Next, you’ll need to upload your dataset to the platform. Just drag and drop or select your file.
3. Once your data is in, you can use the really intuitive interface. Here, you can prepare your data, visualize it to understand it better, and then pick from a selection of pre-built machine learning algorithms.
4. Building your machine learning model is super easy – it only takes a few clicks.
5. After that, you can start making accurate predictions without needing any coding knowledge at all.
6. Don’t forget to use the platform’s explanation features! They’re great for understanding exactly what insights your models are giving you.
7. You can also use the advanced algorithms for predictive analytics to forecast trends and make smarter, more informed decisions.
8. Collaboration is built-in, so feel free to work with your teammates, share your projects, and get feedback right within the platform.
9. And if you ever get stuck or need help with data tasks like merging, enriching, cleaning, or statistical work, you can count on expert support from a dedicated data scientist, available when you need them.

By following these steps, you’ll find it’s really easy to use Obviously AI to simplify your data science tasks and make better decisions based on your data.