Big Data Ecosystem
Big data architecture
Big Data's own architecture, orchestrated with layers focused on data: data transformation, storage and processing, exploration and administration, and data services through APIs.
Data Science
With our frontend & backend expertise, we stay lean and rapidly deploy solutions for you. A free project manager is assigned for your project.
Predictive Models
Advanced analysis that uses new and historical data to predict future activity, behavior, and trends. Application of the predictive model markup language (PML) and use of application programming interfaces.
Data Analytics
Data collection, integration and visualization services, business analysis solutions, social media and digital dissemination, policy analysis and decision support, and data quality assessment.
Cognitive Analysis
Artificial Vision
Capture and analysis of visual information with efficiency and precision far superior to the human eye, ranging from signature identification to medical image analysis.
Natural Language Processing
Understand the real meaning of any query that is executed (semantics). Through computational linguistics, computers can decipher human language, being able to imitate a conversation.
Cognitive Computing
It uses many of the same fundamentals as AI, such as ML, ANNs, NLP, and sentiment analysis, to follow human problem solving processes. Systems that learn at scale, reason with purpose and interact with them.
Artificial Neural Networks
Based on a collection of connected units or nodes called artificial neurons, ANNs or artificial neural networks are computer systems that learn progressively by considering examples, usually without specific task programming.
Machine Learning
Unsupervised Learning
Big Data's own architecture, orchestrated with layers focused on data: data transformation, storage and processing, exploration and administration, and data services through APIs.
Reinforcement Learning
Focused on real-time decisions, navigation with robots, Artificial Intelligence in gamification, acquisition of skills and learning tasks. Trial and error method to discover the best rewarded actions.
Supervised Learning
Based on construction patterns, including Classification (customer retention, fraud detection, diagnostics) and Regression (marketing and sales forecast, estimate and growth forecast).
Machine learning benefits
We help you give value to all the information that your business has through a competitive and productivity tool that will help you make a difference in the company's results in an increasingly demanding market.
Integration of heterogeneous data sources
Extraction of implicit information
Identification of unexpected patterns
Discovery of rules (regularities), restrictions, etc.
Generalization and specialization skills
Adaptation to change in data sources.