Squark is Your AI Agent for Marketing

 

Turbocharge your marketing with AI agents that do work faster, better, and at a lower cost, with humans in the loop. Create powerful AI Agents for marketing analytics, spanning data connection, preparation, engineering, AI model building, scoring, and result integration. Just connect and let the agent work and summarize results.

How to Build an AI Agent

1.

Create an project and select the type of question you’d like your agent to predict

Create a new project or select a previous project to rerun. Select which type of prediction that best suits your question.

Project Types:

  • Binary
  • Multi-Class
  • Regression
  • Time-Series Forecast

2.

Connect your data to Squark to power the agent

Use Squark’s Connectors or simply drag and drop your csv, excel, or zip to begin the automated data preparation and machine learning process. Select the column that contains the data you want to predict or analyze so Squark knows what data to train on. You have the option to exclude columns of data that aren’t necessary, making it easier for you to upload whatever data formats you have. Squark automatically removes columns that aren’t helpful for the prediction (it’s part of the secret sauce). The final information that is provided is what Squark learns from (hence the name machine learning).

3.

Provide a production file to predict an outcome OR only run training data

Add your production file or skip this step and simply run the training data that you previously connected or uploaded. Squark will prepare the training data by automatically engineering, enhancing, and improving it for analysis. Then Squark will create, tune, select, and apply the best predictive model (out of hundreds) for your data from today’s leading algorithms. With the most cutting edge algorithms applied – from deep learning to natural language processing, this process is where the machine learning magic happens.

4.

Evaluate your results

All in a matter of minutes your data is cleaned, prepared, enhanced, and analyzed. The best customized algorithmic model is selected for use with your data to deliver accurate predictive results. In the case above, where Squark predicts the outcome of two classes (yes, or no), the dark blue columns showcase the results of your prediction and allows you to view the probabilities for each record.

5.

Analyze, Action & Integrate

Wondering how your data influenced your results? Check out different models and graphs to visually see why the prediction occurred. Understand the specific data (columns and values) that caused the outcomes. You can view Squark’s Explainable AI for each individual record or see a summary of the drivers for the predictive outcome across your entire dataset. It is important to not only understand your predictive results, but what is causing them, so that you can make quick and decisive decisions to power your business.

You and your team can take immediate action on your newly created predictive data by sending it back into the system of origin with Squark’s REST API.

Connectors support Any Data in Any System, including:

Don’t see the one you’re looking for? We likely have it built already are always creating new connectors; let’s chat.

Security is the Core of Squark

Squark is a no-code AI as a Service platform that helps data-literate business users make better decisions with their data. Squark is used across a variety of industries & use cases to uncover AI-driven insights from tabular and textual data, prioritize decisions, and take informed action. The Squark platform is designed to be easy to use, accurate, scalable, and secure.

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