AI Analytics Engine

The AI & Analytics Engine is PI.EXCHANGE's no-code machine learning platform that streamlines building machine learning models, so you can start making predictions from your data - no code required. From marketers and analysts to data scientists and developers, the Engine helps more users easily leverage their data to train and use predictive models to make smart real-time decisions.

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What is pi.exchange?

PI.EXCHANGE is an AI-powered platform offering a comprehensive automated solution for data science and machine learning (ML). It simplifies AI implementation, enabling users to develop, deploy, and scale ML applications proficiently without extensive coding expertise. The platform seamlessly manages the ML pipeline from data preparation to model deployment, addressing challenges such as data skills shortages and project complexity. Notably, it's essential to differentiate PI.EXCHANGE from Pi Network, a cryptocurrency traded on various exchanges, each serving distinct purposes.

How does pi.exchange work?

PI.EXCHANGE serves as an AI-driven platform simplifying machine learning model development. It enables users to create, manage, and deploy ML models without extensive coding expertise by automating various workflow stages like data preparation, model training, and deployment, thus broadening accessibility.

In contrast, Pi Network's exchange process involves trading the Pi cryptocurrency on various platforms. Users can engage in buying, selling, and trading Pi with other cryptocurrencies or stablecoins like USDT, similar to typical cryptocurrency trading practices, where orders can be placed based on current market prices.

What are some features of PI.EXCHANGE?

PI.EXCHANGE presents a suite of features crafted to enhance accessibility and efficiency in machine learning:

1. No-Code ML Model Development: Enables users to construct predictive ML models sans coding, accelerating ML project timelines.
2. AI & Analytics Engine: Facilitates seamless ML pipeline management from data preparation to model deployment within a collaborative framework.
3. Smart Data Preparation: Offers automated suggestions for data cleaning and transformation for ML readiness, with the option for manual actions.
4. Automatic Feature Engineering: Automatically generates recommended feature sets tailored to data and problem types, with manual selection available.
5. AI-Powered Model Performance Prediction: Prior to training, suggests optimal models for datasets and problem types, predicting training time, prediction time, and performance.
6. Explainable Insights: Furnishes features aiding users in comprehending model behavior.
7. Model Life-Cycle Management: Incorporates model health monitoring, continuous learning, dataset, and model versioning.
8. Flexible Deployment Options: Provides enterprise subscriptions with choices for on-premise or private cloud deployment.

These features collectively aim to simplify the initiation of ML projects, decrease project failure rates, and empower domain experts to contribute effectively to the ML process.

How does PI.EXCHANGE ensure data privacy and security?

PI.EXCHANGE prioritizes data privacy and security through a robust approach:

1. Secure Infrastructure: The platform operates on Google Cloud Platform (GCP), adhering to stringent security standards like SOC 2 and ISO certifications.
2. Data Encryption: Data is encrypted during transit using TLS and at rest with Google Cloud Storage Server-Side Encryption.
3. Controlled Data Access: User data is utilized solely for designated purposes, with access restricted to authorized customers.
4. Authentication: Platform access necessitates authentication via a secure token acquired post entering a strong password and email verification.
5. Access Control: Utilizes a Role-Based Access Control (RBAC) model to manage data and assets within the platform across organizational and project levels.
6. Server Security and Monitoring: Deployed in a secure, multi-tenant environment, accessible solely via secured portals and APIs, following a Zero Trust Security model.
7. Deployment Options: Offers enterprise subscriptions with choices for on-premise or private cloud deployment, ensuring data remains within the client's designated environment.

PI.EXCHANGE's commitment to security and privacy is underpinned by a Zero Trust and Zero Tolerance model, supported by a well-defined suite of Information Security Policies & Standards.

How much does pi.exchange cost?

PI.EXCHANGE offers diverse pricing tiers tailored to accommodate varying needs and usage scales:

1. Starter: Priced at $39 USD/month, ideal for individuals embarking on AI and ML endeavors.
2. Individual: Available at $129 USD/month, suitable for more intensive personal usage.
3. Team: Tailored for small teams, priced at $499 USD/month.
4. Business: Geared towards larger businesses with more extensive requirements, priced at $1999 USD/month.
5. Enterprise: Custom pricing is available to meet the unique needs of enterprise-level usage.

All plans include a 2-week free trial granting access to all Business-tier features. Upon trial completion, users can opt for a paid plan to continue utilizing the platform.

Each plan incorporates various limits and features such as data size limits per import, processed data per month, dataset storage limits, and the number of models in training and active deployed models. For comprehensive details, interested parties can refer to the official pricing page.

How does PI.EXCHANGE's machine learning powered demand forecasting benefit manufacturers, wholesalers, and retailers?

PI.EXCHANGE's demand forecasting solution leverages tailored machine learning models trained on individual company data, offering a more accurate, consistent, and scalable approach compared to traditional methods. This solution helps manufacturers, wholesalers, and retailers by reducing costs from overstocking, minimizing lost sales stemming from stockouts, and increasing stock turnover rates. The tool integrates both internal and external data, automatically detects trends and seasonality, and continuously backtests to validate future performance.

What customization and automation features does PI.EXCHANGE provide for demand forecasting?

PI.EXCHANGE offers fully customizable forecasting models that enhance accuracy and consistency through sophisticated machine learning models. Users can add internal and external data, automatically detect trends and seasonality, and compare scenarios to understand factor impacts. For automation, the tool delivers an automated workflow that scales efficiency, allowing for automatic import of new data and export of forecasts, continuous learning, and model retraining. It also supports generating forecasts at multiple granularity levels, offering predictions on daily, weekly, fortnightly, or monthly bases.

What steps are involved in getting started with PI.EXCHANGE's ML-powered demand forecasting?

To start using PI.EXCHANGE's ML-powered demand forecasting, users can follow three simple steps. First, users are encouraged to book a demo to discuss their needs and determine if PI.EXCHANGE fits their requirements. Second, during the solution workshop, the team and the user will collaboratively define the use case and assess the value it will deliver. Lastly, in the data review, PI.EXCHANGE's team evaluates the user's data and technical infrastructure to support the implementation, ensuring that the forecasting tool is tailored to the specific business needs.