Introducing futureanalytica
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AI Cloud Platform
To accelerate end-to-end data science
Data EngineeringSalient Features!
1. Robust Data engineering
Automate the most complex, time-consuming and repetitive tasks
Perform ETL, data transformation, missing value treatment automatically with futurenalytica automated data engineering applications. Machine learning needs data in right format to build AI models. With futureanaltica automated data engineering applications one can combine data files without writing any code on the platform and generates right data required to build AI models.
2. Automated feature engineering
Generate rich data features in 1/10 of time and effort compared to normal processing
Feature engineer is toughest and time consuming activity. This is where machine learns the patterns which is easily not avaiable for machine to learn. Even deep learning can't do much if data is tabular. With futureanalytica automated feature engineering application, end-user can generate rich feature in no time. Thanks to custom feature engine, feature are generated without writing a single piece of code all in one shot.
3. Data Enrichment
Enrich your data with semi supervised learning algorithms to train data using AI
Not every time your data would be sufficient to develop right AI models. With futureanaltyica data enrichment applications end-user can enrich data to build high end AI models and also to unearth deep data insights by leveraging data from different sources.
4. Data Management
Manage your end-to-end data with simple flows to test, re-use and replicate in productions
Data management is tedious task for IT. With futurenalytica data management apps, end-user can manage data over different sources and integrate into platform for seamless collaboration and to build new AI models.