Akkio: Easy-to-Use AI No-Code Automated Platform
What is Akkio?
Akkio is an automated machine learning platform that helps developers quickly build AI models. It helps users quickly build, train, and deploy machine learning models without requiring users to write code or have machine learning expertise. It has apps for enhanced lead scoring, forecasting, text classification, churn reduction, and more, along with instant web apps and easy integrations.
Price: Free or starting $60/mo
Tags: Research Marketing
Release Time: 2019
Developers: Abraham Parangi
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Features of Akkio
- Data Preprocessing: Akkio helps users clean, transform and standardize data for machine learning training.
- Feature Engineering: Akkio provides a variety of feature engineering techniques that can help users extract useful features from raw data.
- Automated Machine Learning: Akkio’s automated machine learning tools eliminate the need for users to manually select models and tune parameters, enabling users to quickly build high-performance models.
- Model Selection and Optimization: Akkio provides multiple preset machine learning algorithms, which helps users choose the best algorithm and hyperparameters to obtain the best model performance.
- Model Deployment: Akkio helps users deploy trained models to production environments for real-time prediction and inference.
How to Use Akkio?
- First you need to register an account, click “Log In” in the upper right of Akkio, and then click “Sign Up”
- Fill in the relevant information and click the “Sign Up” button
- Upload the dataset and perform data preprocessing and feature engineering.
- Select an algorithm suitable for the data set, and optimize the hyperparameters of the algorithm through automatic parameter tuning.
- Train the model using Akkio’s automated machine learning tools.
- Deploy the trained model to production for real-time prediction and inference.
How to Login Akkio Account?
- Visit Akkio official website.
- Click the “Log In” button in the upper right of the page.
- Enter the email address and password associated with your Akkio account.
- Click the “Log In” button to access your Akkio account.
If you forget your password, you can click “Forgot your password?” to reset it. You will be prompted to enter your email address and will receive an email with instructions on how to reset your password.
Akkio Technical Principle
Akkio is based on the principles of automated machine learning (AutoML), using algorithms to automate many of the steps involved in building, training, and deploying machine learning models. Here are some technical principles of Akkio:
- Data preprocessing and feature engineering: Akkio uses various techniques to clean, transform, and normalize raw data, as well as extract useful features from the data. Reduce noise, improve model accuracy, and speed up the training process.
- Algorithm selection and optimization: Akkio uses a range of algorithms and techniques to select the best machine learning model and optimize its parameters. This is usually done using grid search or other optimization methods, which involve testing a large number of model configurations and selecting the best performing one.
- Model training and evaluation: Once a model is selected and optimized, Akkio uses automated tools to train the model and evaluate its performance on the available data.
- Model Deployment: Once a model is trained and evaluated, Akkio provides tools for deploying it to production, such as a cloud-based server or REST API, which allows the model to be used for real-time prediction and inference.
Akkio Pricing
Akkio supports a free trial. If you’re satisfied, consider these paid versions:
Plan | $60/mo(billed monthly)or $50/mo(billed annually) for 10K | $180/mo(billed monthly)or $150/mo(billed annually) for 100K | $360/mo(billed monthly)or $300/mo(billed annually) for 1M | $1500/mo(billed monthly) for 25M | Contact them for 100M |
|---|---|---|---|---|---|
Features | 1 user included， Unlimited training， Core modeling (numbers, text, NLP) Pre-built integrations & templates Model performance， Analytics (Driving Factors)， Web App Deployments， Predictions & training via API， Basic Support | 1 user included， Unlimited training， Core modeling (numbers, text, NLP) Pre-built integrations & templates Model performance， Analytics (Driving Factors)， Web App Deployments， Predictions & training via API， Basic Support | 1 user included， Unlimited training， Core modeling (numbers, text, NLP) Pre-built integrations & templates Model performance， Analytics (Driving Factors)， Web App Deployments， Predictions & training via API， Basic Support | 5 users included, Team collaboration (RBAC), Basic & Fuzzy data merging, Live customizable dashboards* Basic Data Prep ,(filtering, etc.) Deeper Predictive Analytics ,(Clustering, Data Stories, Backtest) Model Performance Monitoring*, One-click Retraining, Anomaly detection, Remove Akkio Badge for Web models and iframes | 5 users included, (additional users are priced at $30/mo) Time series forecasting, Dedicated Solutions Engineering Support, Advanced data cleaning and prep, (auto-tagging, anomaly removal)* Advanced predictive analytics (per-record driving factor analysis, custom clusters)*, Scenario Modeling*, Under-the-hood Data Science Info, Automatic Retraining with caching*, Model Anomaly Detection*, Enterprise Grade Data Security with Shared/Dedicated/VPC deployment options, Whitelabeling |
FAQ
Yes, Akkio aims to be a no-code machine learning platform, meaning you don’t need any coding or technical experience to use it. However, it may be helpful to understand some basic machine learning concepts and data analysis.
Yes, Akkio takes data security and privacy very seriously. They use industry standard encryption and security measures to protect users’ data, and they do not share or sell user data to third parties.
If you no longer wish to use Akkio, you may cancel your subscription at any time. Your access to the platform will lapse upon the completion of your current term ((e.g. at the end of your current month if you’ve subscribed to a monthly plan) and you will not be charged going forward.
(The third question and answer is from Akkio official website)
