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CI&T AI/Machine Learning

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CI&T AI/Machine Learning

1 - Artificial Intelligence

Artificial Intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs.

2 - Machine Learning

Machine Learning focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

3 - Data Science

Data Science combines math, statistics and advanced analytics to uncover actionable insights to be used to guide decision making and strategic planning.

AI/ML Empowered Industries

Closed loop production data to empower industry AI

A data-driven model that explores the potential in data,let data create greater value.

Business Scenario

Intelligent Prediction System


Sales forecast
○ Cost forecast

Intelligent monitoring system


○ Risk (Legal/Financial)
Content review
○ Document review
Process review

Intelligent decision support


○ Intelligently assisted diagnostics
○ Intelligent voice recognition

Intelligent Content Classification


○ Text content
○ Image content

Data visualization


○ Data Dashboard

Recommendation Systems / Classification Systems

Multi-dimensional analysis to provide more accurate recommendation models for businesses.

Real-time acquisition of recommended content models based on user portraits. Also, real-time user portrait classification model

Business Scenario

Recommender System

Content recommendations based on segmented customers.
○ Automation Marketing

Classification systems

○ Content Classification
○ Customer 360 Portrait

Intelligent Agency

More digital, more intelligent. A more user-friendly way to communicate and interact with customers

How CI&T work

Case Study

CI&T work with a FMCG company which has 500+ brands are sold in more than 100 countries.

This platform was designed to provide End-to-End Analytics Products to drive Business Growth.



MAIN FEATURES

POC (Point of Contact) 360°
Smart filter, share, download of POCs
Integration with sales marketing visit tool
Leverage ML to generate the POC potential score
POC AB testing

RESULTS

More than 20 million POC data management
MVP strategy to deliver the platform within 1.5 months
More than 5 production ready machine learning models

Contact our AI/ML specialists