Modern business means 10 to 10,000 brunches, factories, warehouses; 10 to 100,000 types of products and services; 100 to 10,000,000 clients; 10 to 100 information systems and data sources that generate 10 to 1,000,000 events every second and 10 to 1000 analysts, struggling with these data daily.
Every minute business and external environment are transformed, which leads to data changes and errors. Gaining access to data may take days or months. All this time, errors accumulate and are not corrected. As a result, business gets forecasts and makes decisions based on inconsistent and irrelevant data. Multiply that by the complexity and flexibility of today's business.
Fabrique.ai automates data collection, processing, distribution from 100s data sources, data validation, access control, anomaly detection, alerting to ensure data relevance and consistency with zero gap from reality.
Today's business solves 100s of analytical tasks such as quality control, maintenance prediction, online scoring, anomaly detection, fraud prevention, promo forecasting, supply optimization, demand forecasting, inventory management, personalization, news categorization, etc. Each project involves dozens of analysts, data scientists, data engineers, product owners.
In a constantly changing environment, business needs online analytics and the most accurate forecasts. At the same time, the predictive power of the data falls off rapidly over time, and AI algorithms lose accuracy. The most accurate predictions require zero gap data from reality and continuous retraining on the latest data.
Fabrique.ai automates every stage of the AI algorithms life cycle, such as data connection and transformation, features storing and versioning, algorithms decomposition for production execution, validation and testing, building and deploying, computational resources management, staging and production deployment, concurrent running, metrics control, optimization and re-training with a zero gap from reality.
Each data transformation scenario requires connecting to 10s data sources, reading and writing results in multiple storages (there is no one universal), executing 10s consequent and parallel operations, integrating with 10s consumers, involving monitoring 100s metrics and detecting anomaly. Scenario execution may take 0.1 second to 100 days.
Today's business faces the choice of a vendor solution or in-house development using open source components. The first option brings the risks of vendor lock-in, slow and expensive implementation, insufficient development pace.The second requires investing in software development and choosing the right architecture with unpredicted risks.
Fabrique.ai provides businesses with an orchestrator and a framework that allows to easily build from atomic operations event-driven data transformation scenarios of any complexity with zero gap from reality.