Intelek Data Pipes
Intelek Data Pipes
Intelek Data API facilitates access and interaction with the data in your Data Warehouse by any program without having to grant direct access to the database. It makes it possible for computer systems on which it is not easy to build artificial intelligence solutions to remotely execute this type of algorithms and work with the results in real time.
Allows any application to securely communicate with the data store.
It facilitates the rapid upload to production of processes carried out in Python and R languages.
Discover how an e-commerce site incorporates a product recommender for its customers.
For this reason, at Prenomics we have created an API that allows any application to communicate securely with the data warehouse. In particular, the Intelek Data API allows:
Queries to entities in the data warehouse without needing direct access to the database. Instead, authenticated requests can be made.
High level of flexibility in these queries, in which it is possible to select variables, filter data, group them and perform simple transformations.
When rich data is stored in a data warehouse, it is common to want to use it within the scope of some enterprise IT system. However, this step is not always easy without compromising the security of the various systems hosted in different environments.
At Prenomics, we have enabled a process execution API in Python and R that facilitates the rapid upload to production of this type of processes and programmatic execution by any computer system.
Execution of Python and R processes from internal or external data.
Monitoring the execution quality of the algorithms.
It is common to want a business system to perform analytical processes (e.g., finding the most relevant product to recommend to a customer). However, business systems are not always prepared to build these types of algorithms in a simple way.
E-commerce that wants to incorporate the functionality of dynamically displaying products based on the interests of the visitor to its store. However, developing this intelligent recommendation engine is not easy from the e-commerce software that the company uses and the prefabricated solutions that exist on the market do not perform as expected.
In the first phase, a customer segmentation algorithm is built and these segments are dumped into the data warehouse. This algorithm is executed programmatically once a day, every morning.
In the second phase, and this is where the Intelek Data API comes in, a recommendation algorithm is built from customer data, their segment and their recent browsing history. This second algorithm is executed in real time during the customer's browsing. To do this, the ecommerce software makes calls to the Intelek Data API, passing the customer or visitor's identifier, and it returns the list of products to be displayed suggested by the recommendation algorithm.
Being able to develop the recommendation algorithm that will work in production from R or Python regardless of the ecommerce technology.
Rapid uploading of the algorithm to production and changes to it without affecting the ecommerce software.
Enabling the benefits of this type of algorithm without the need to make financial outlays on infrastructure and its maintenance.
We will be delighted to turn your business needs into data-driven growth opportunities.
Data Governance
Data Manager
Data preparation
Artificial Intelligence