Effective Artificial Intelligence applications in your business processes

Azure PaaS solutions based on Cognitive Services and Machine Learning for the Transformation, Productivity, and Innovation in your company

Cognitive Services Solutions Within Business Applications

Azure AI‘s pre-built APIs and services* allow ENCAMINA to embed within business applications automation, classification, and decision fragments, as well as alerts and user support, in order to make business processes more efficient, agile and accurate.

How Do We Apply Artificial Intelligence?

Vision

We take advantage of the image processing algorithms available in Azure PaaS to, in an intelligent way, identify, moderate, and add information to product images or sales and customer interaction scenarios, security, inspection, quality, etc.

Voice

When converting voice into text with the APIs available in Azure PaaS, we can check or add speaker recognition in contact center applications, sound files, messaging apps, and so on.

Knowledge

Cognitive Knowledge Service allows us to create complex information maps and data to solve diverse tasks, such as intelligent recommendations or semantic search.

Search

We can embed Bing Search APIs into applications and leverage the ability to search billions of websites, images, videos, or news with a single API call.

Language

We make applications process natural language with pre-compiled scripts, evaluate feelings, and learn to recognize what clients and users want.

Machine Learning Solutions to Achieve Intelligent Applications

ENCAMINA takes full advantage of Machine Learning capabilities to add intelligence (detection, classification, prediction, decision, etc.) to business applications or processes. It uses data and previous experiences and learns from them and acts without having programmed the answer in a specific way

Use Cases:

Fraud Detection Scenarios
Anticipating issues or failure
Customer churn
Custom price calculation
Optimum time/amount
Customer or candidate scoring
Predictive maintenance
Optimal power supply
Etc.

How Can Machine Learning Help Me?

Our AI Tools for Building Environments and Solutions

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Azure ML Package for Computer Vision

Azure ML Package for Forecasting

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Azure ML Package for Text Analytics

FPGA acceleration

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Azure Machine Learning Studio

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Data Science Virtual Machine

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Azure Machine Learning Workbench

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Visual Studio Code Tools for AI

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MMLSpark

Azure Databricks

A fast, easy, and collaborative Apache Spark-based analytics platform

ENCAMINA uses Azure Databricks to accelerate Artificial Intelligence (AI) and Big Data solutions.

This is a fast, easy, and collaborative analysis service based on Apache Spark, which allow us to automatically scale in a quick and simple manner.

Azure Databricks enables data scientists, data engineers and business analysts to collaborate on shared projects in an interactive workspace.

This interactive workspace works with:

Python
Scala
R
SQL

As well as:

Deep Learning Frameworks
Libraries such as TensorFlow, Pytorch and Scikit-learn

Native integration with Azure Active Directory (Azure AD) and other Azure services allows us to quickly build a modern Data Warehouse, as well as Machine Learning and real-time analysis solutions.