Artificial Intelligence is developing fast, and you can easily be left behind by competitors. Companies are struggling to get started with AI, even if they think their business model requires AI-oriented thinking.

At Excelacom, we provide a complete range of consulting services required for the inception, cultivation, and implementation of your AI strategy. We offer an all-in-one AI package, which consists of strategy consulting, technology IT services for AI implementation strategy and products, along with solutions for specific areas of applying AI.

By adopting AI at the core of our operations, we have learned that the implementation of AI in business operations requires the identification of successful business models – start simple and scale-up. We assist companies in identifying problems that can be solved using AI technologies and applying the crawl-walk-run strategy that shakes out the details of your AI development and production practice.

AI = Business Intelligence + Machine Learning + Smart Analytics

Data analysis

Data analysis for comprehensive insights

Century data analytics platform helps perform data analytics as a complete package to gain more insights from the past.

We can leverage our data analytics platform by automating complex business processes and providing unified access to information

  • Proven, scalable communication layer with 30+ pre-integrated systems in large MSO
  • Packaged adapters for billing, provisioning and inbound orders
  • Packaged adapters and business related tools for integration of multiple product catalogs

Excelacom AI Approach and Technologies

The best-in-breed set of AI tools offering a highly flexible environment for analysts and users to build solutions for complex problems, leveraging a suite of integrated Machine Learning algorithms without the need for costly and time-consuming coding.

Data Source Integration

Data Source Integration

Preprocessing Framework

Preprocessing Framework

Predictive Model Creation

Predictive Model Creation

Algorithm Selection

Algorithm Selection

Feature Contribution

Feature Contribution

Schedulers

Schedulers

Batch Prediction

Batch Prediction

Real-Time Prediction

Real-Time Prediction

Instant Prediction - File Upload

Instant Prediction

Create Reports

Create Reports

Visualization

Visualization

Deployment Model

Deployment Model
Solutions for day-to-day operations

Solutions for day-to-day operations based on AI

Our company offers a set of solutions built on our platform that can be integrated with your business and operations systems to:

  • Predict process success rate, execution time, key areas for optimization and fallout remediation
  • Prioritize testing activities to minimize cost, maximize efficiency and detect issues earlier in the development cycle
  • Determine which offer will best meet each customer’s needs
  • Predicting customer care issues and proposing the next best actions

Process Prediction

Process Prediction

Use process definition, process input, execution steps, timing info., and outcome to determine process success rate, execution time, and root cause analysis for failed processes.

Insights the model will learn consist of:

  • Where, when and why a process will successfully or unsuccessfully execute
  • The required length of time to execute each process
  • The required amount of manual activities necessary for each process
  • The requirements for addressing high fallout, increase first time right metrics and reduce execution time

Optimized Testing

Optimized Testing

Provide customers the ability to reduce the number of defects by identifying components that are at risk to raise awareness regarding those areas during development and QA process.

The offering builds a predictive model by applying machine learning on:

  • Historical Sprint Data
  • Code Complexity
  • Historical Defects Data

Find Best Offer

Find Best Offer

Use customer demographics, order lifecycle, historical trouble tickets, and available assets to create an offer that best fits each customer’s needs.

Insights the model will discover consist of:

  • Maximize customer experience – e.g., the set of services and features that meets all their requirements
  • Maximize profitability – e.g., accurately reflect costs to deliver and maintain service
  • Maximize efficiency – e.g., the fastest/lowest cost of plan implementation

For more information on Century AI solutions and how it will benefit your company, please visit us on:www.century-ai.com

Scalable and Reliable

Scalable and Reliable Intelligence Platform

Excelacom AI platform features scalability, performance, cost-effectiveness, and ease of operation advantages over the conventional RDBMS. Users will be able to view different analyzed information, such as total sales in a given period and be able to compare it to any other desired period. Additionally, have access to visual cues, for instance, graphs to allow executives to easily view trends and react accordingly to market shifts, by leveraging Century Analytics to construct more KPIs, charts, and graphs.

Data complexity

Data complexity requires Robustness and Accuracy

As the amount of data, analytic complexity, and the number of end-users increases, analytics platforms offer a variety of options that can help reduce costs and further help in achieving a properly informed decision.

Data Ingestion

Data Ingestion

We provide various options to ingest data from various open-source tools such as Sqoop, Flume, Kafka, and NiFi or even file transfer options using Hadoop.

Test Process Definition

Test Process Definition

Provides features for effectively managing data to gain insights.

Test Tools Analysis

Test Tools Analysis

Features for advanced analytics and machine learning for predictive analytics.

Test Compliance

Test Compliance

Enriched with powerful security mechanisms to govern the data, make it secure from outside threats and available for the right people at the right time.

Embedded Native AI Capabilities

Data Science using AI

Data Science using AI

Century AI Platform is a highly automated machine learning system for creating data science applications and services.

It enables people with ML or data science expertise to build high-quality models without extensive knowledge of math, statistics, programming, and business intelligence.

Century AI platform provides an intuitive user interface which takes users through the following six steps:

Sources

use various sources of information

Datasets

use the defined sources to create dataset

Models

make predictive models

Predictions

generate predictions based on the model

Ensembles

create ensemble of various models

Evaluation

verifies model against validation sets

Build end-to-end data

Build end-to-end data science workflows

Create data science workflows without the need for coding and build machine learning models. Choose different algorithms to build your workflows. Model each step of your analysis, control the flow of data, and ensure your work is always current. Connect to a host of databases and data warehouses to integrate data from Oracle or different file formats.

Shape your data

Shape your data

Derive statistics, including mean, quantiles, and standard deviations, or apply statistical tests to validate a hypothesis. Integrate dimension reduction, correlation analysis, and more into your workflows.

Aggregate, sort, filter, and join data either on your local machine, or in-database.

Clean data through normalization, data type conversion, and missing value handling. Detect out of range values with outliers and anomaly detection algorithms.

Extract and select features (or construct new ones) to prepare your dataset for machine learning. Manipulate text, apply formulas on numerical data, and apply rules to filter out or mark samples.

Leverage Machine

Leverage Machine Learning and AI

Build machine learning models for classification, regression, dimension reduction, or clustering, using advanced algorithms including tree-based methods, and logistic regression.

Optimize model performance with hyperparameter optimization, boosting, bagging, stacking, or building complex ensembles.

Validate models by applying performance metrics, including Accuracy, R², AUC, and ROC. Perform cross-validation to guarantee model stability.

Make predictions using validated models directly, or with industry-leading PMML, including on Apache Spark.

Discover and share insights

Discover and share insights

Visualize data with classic (bar chart, scatter plot) as well as advanced charts (parallel coordinates, sunburst, network graph, and heat map) and tailor them to your needs.

Display summary statistics about columns in a table and filter out anything irrelevant.

Export reports for presenting results to stakeholders. Store processed data or analytics results in many common file formats or databases.

Scale execution with demands

Scale execution with demands

Build workflow prototypes to explore various analysis approaches. Inspect and save intermediate results to ensure fast feedback and efficient discovery of new, creative solutions.

Scale workflow performance through in-memory streaming and multi-threaded data processing.

Benefits of Excelacom

Eliminate areas of failure

Summarized metrics provide details related to process non-compliance and enable the identification and mitigation of failures in a timely matter.

Increase productivity

Predictive and Adaptive Analytics based on KPIs, assist businesses with efficiently measuring and effectively driving improvements in productivity.

Improve customer experience

Valuable and detailed data insights allow proactive monitoring and detection of improvement opportunities, which drive actions that directly improve overall customer experience.

Integrate data management

Consolidation of data from disparate systems eliminates the guesswork in business decision making and provides accurate, timely, and real-time data.

Create data visibility and accountability

Rich data visualization, custom dashboards, and scheduled notification alerts provide executives with access to real-time data at their fingertips without dependence on IT.

Accelerate revenue

Enhance 360-degree view of customer data provides a greater understanding of customer behavior and drives refinement of service offerings that meet customer needs and demands while increasing revenue.