Overview

Artificial Intelligence (AI) has become one of the most powerful, transformative technologies that enable the development of new business models, new product/service offerings, and business ecosystems in many industries.

According to Gartner’s researches, the three most important factors that trigger companies' artificial intelligence investments are improving customer experience (59%), reducing costs (54%), and increasing revenue (43%).

AI technologies help organizations to enhance performance and productivity by enabling effective automation which provides larger revenue increases, greater cost reduction, and higher customer loyalty.

Why to choose Etiya AI Platform?

Etiya AI Platform, Cognitus, is an advanced artificial intelligence platform that provides standardization, simple and centralized management, monitoring and improvement, easy ROI detection and measurement, fewer implementation failures, and scaling with its advanced capabilities along with advanced machine learning and natural language processing services.

Cognitus provides fast customization and scaling of the products, solutions, and services it offers, with its configuration capabilities. It immediately adapts itself to the internal and external processes of your organization and can be easily integrated with different products in your portfolio via the cloud and on-premise implementation options. In addition, Cognitus helps organizations to adopt artificial intelligence with its self-learning skills, accessibility, easy configuration, and integration capabilities to different data sources.

The platform currently supports Turkish, English, French, and Spanish languages. In addition to these, developments continue to support more languages in a short time.

Etiya also offers innovative and experience-oriented approaches that will contribute to the digital transformation of the corporate processes of companies and create cost advantages with Artificial Intelligence-Cognitus supported products and solutions in its product portfolio. At this point, Cognitus which is also located at the heart of Etiya's product architecture works in harmony with all Etiya’s products, solutions, and services and enhances their features with AI capabilities.

These AI-supported Etiya products and solutions enable effective automation and operational productivity by making information understandable in different business areas.

How to implement AI technologies?

Etiya helps you to define which method is more suitable for artificial intelligence implementation within your organization. Our expert team evaluates many variables such as corporate size, resource usage, cost, flexibility, regulations, organizational needs, etc., and offers alternatives to implement artificial intelligence in the cloud with AIaaS business model or at the center of your organization with on-premise business model. ,

AIaaS business model offers organizations the opportunity to reduce investment risk, have a transparent cost structure, and an agile way of doing business by offering all artificial intelligence services through cloud technologies.

On the other hand, the implementation of artificial intelligence at the center of the organizations with the on-premise business model provides benefits such as standardization, multi-tenant / multi-departmental usage, easy and central management, monitoring, scalability, creating identifiable and changeable artificial intelligence processes within the organization.

The right AI implementation based on the evaluation of correct variables will provide a low opportunity cost and productivity. Etiya guides organizations to find out these correct variables and make the right decision about the implementation process with its experienced AI team.

Etiya also provides AI consultancy covering strategy, implementation and training services. . You can find detailed information here.

Please contact us by filling the form below to get information about our industry and process-based usage scenarios that are developed on our Artificial Intelligence Platform and to request a demo.

Natural Language Processing (NLP) allows for the presentation of personalized services and campaigns through customer data analysis. Cognitus can analyze and process words within texts with its advanced language knowledgeability and algorithms. Cognitus uses the processed and structured data according to the scenario needed to increase the productivity of business processes and provide automation. Cogtinus NLP services support Turkish, English, French, and Spanish languages.

Cognitus provides many NLP use cases to organizations. The most important use cases of NLP are related to customer service which affect the cost, service levels, and customer satisfaction. In addition, there are use cases supporting customer service representatives which make them more effective in their work. 


NLP comprises many areas. In the area of virtual assistants, the solutions range from complex conversational assistants to simpler text chatbots. In the area of text analytics, functionality includes speech analytics, sentiment and emotion detection, document classification, document summarization, information extraction, text search, and insight.
Cognitus offers the following services within the scope of natural language processing and sample usage scenarios that can be created using these services. 

 

NLP Services

Use Case

Sample Scenario

Language Detection

Product Recommendation

Real-time recommendation during customer support

Automated Response Generation

Selling via chatbot or virtual assistant

Text Classification

Voice of Customer

Detect most related topics of customers analyzing what customers are following.

Automated Categorization

Automated categorization for Human Resources chatbot content

Intent Classification

Market & Risk Analysis

Analyzing customer buying behavior.

Automated Response Generation

Generate automated responses based on customer mail/call content

Named Entity Recognition

Voice of Customer

Detect most related topics from data shared by customer

Sentiment Analysis

Task Prioritization

Threat analysis for customer calls

Voice of Customer

Analyzing customer sentiments from data shared by customer

Mock/Spam Detection

Mock/Spam

Detecting abuse content in shared data

Keyword Extraction

Voice of Customer

Detect most related topics from data shared by customer

Summarization

 

For more use cases, please contact us by filling out the form below.
 


Machine learning (ML) is a technical discipline that aims to extract knowledge or patterns from a series of observations. Cognitus focuses on ML and its domains Deep Learning (DL) and Predictive Analytics. 

Cognitus ML services present predictive recommendations using pre-learning methods to use deep learning systems and suitable algorithms that can help gather information regarding your customers’ preferences, and behaviors. 

By analyzing your customers’ past behavior, evaluating which products they like, you can determine the product/service that your customer is most likely to purchase based on their preferences and then you can recommend it in real-time with Cognitus Recommendation Engine. 

With advanced machine learning algorithms and expert field knowledge, it presents new ways to make the decision-making processes for your customers easier and strengthen their purchasing possibility, as well. ML services provide insight into topics such as product recommendations, next best action, predictions of cancellations, potential scoring, and possible fraud detection.

Predictive analytics is a strategic technology being applied by business leaders in various departments within organizations, including marketing, claims, customer service, and production. It is enabling real-time automated event detection, decision support, risk modeling, and customer profiling, which will assist business leaders in driving revenue enhancements, avoiding loss, and improving customer experiences.

Cognitus offers the following services within the scope of Machine Learning and sample usage scenarios that can be created using these services. 

 

ML Services

Use Case

Sample Scenario

Attribute Based / History Based Recommendation

Product Recommendation

 

Real-time recommendation during customer support

Forecasting

Category based purchasing analysis and prediction

Sales & Demand forecasting

Next Best Action

Recommend best action for a customer

Smart Agent Matching

Smart matching of customer call agents with customers

Anomaly Detection

Fraud Detection

Credit Card / Online Payment fraud detection

Dynamic Clustering

Market & Risk Analysis

Analyzing customer buying behavior.

Intent Classification

Market & Risk Analysis

Analyzing customer buying behavior.

Automated Response Generation

Generate automated responses based on customer mail/call content

 

Benefits

  • Increased operational efficiency
  • Easy identification of potential problems and improvement points at customer/user contact points and operations
  • Increased sales, usage rates, and customer loyalty thanks to customer experience enriched with personalized forecasts and recommendations
  • Uninterrupted and seamless user experience through multi-channel integrated processes
  • Competitive advantage with increased customer/user satisfaction
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